[INFO] 2025-06-16 04:34:17,035Z [pbreports.tasks.runqc_reports _pacbio_main_runner 161] Using pbcommand v2.8.8
[INFO] 2025-06-16 04:34:17,035Z [pbreports.tasks.runqc_reports _pacbio_main_runner 162] completed setting up logger with <function setup_log at 0x7fbd22c43160>
[INFO] 2025-06-16 04:34:17,035Z [pbreports.tasks.runqc_reports _pacbio_main_runner 165] log opts {'level': 10, 'file_name': 'statistics/m84082_250614_101514_s4.pbreports.log'}
[INFO] 2025-06-16 04:34:17,035Z [pbreports.tasks.runqc_reports args_runner 238] Using pbreports v
[DEBUG] 2025-06-16 04:34:17,036Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 04:34:17,036Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 04:34:17,036Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 04:34:17,037Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 04:34:17,037Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 04:34:17,037Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,038Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,038Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,038Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,038Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,040Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,040Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,040Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,041Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,041Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,041Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,041Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,042Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,042Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,042Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:34:17,042Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 04:34:17,055Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 04:34:17,056Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-06-16 04:34:17,056Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-06-16 04:34:17,056Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[INFO] 2025-06-16 04:34:17,056Z [pbreports.util load_stats_if_present 147] Attempting to load run summary stats
[INFO] 2025-06-16 04:34:17,056Z [pbreports.util load_stats_if_present 149] Single-BAM dataset
[INFO] 2025-06-16 04:34:17,056Z [pbreports.io.ccs read_zmw_metrics_from_csv 127] Loading ZMW metrics from /data/nrtb/1/m84082_250614_101514_s4/pb_internal/analysis/statistics/m84082_250614_101514_s4.zmw_metrics.csv.gz
[INFO] 2025-06-16 04:34:24,119Z [pbreports.tasks.runqc_reports to_runqc_reports 102] Generating CCS report
[INFO] 2025-06-16 04:34:24,119Z [pbreports.io.ccs load_all_ccs_data 230] Checking dataset for supplemental CCS BAM resources
[DEBUG] 2025-06-16 04:34:24,119Z [pbcore.io.dataset.DataSetIO _openFiles 2149] Opening ReadSet resources
[DEBUG] 2025-06-16 04:34:31,824Z [pbcore.io.dataset.DataSetIO _openFiles 2215] Done opening resources
[DEBUG] 2025-06-16 04:34:31,824Z [pbcore.io.dataset.DataSetIO index 2021] Populating index
[DEBUG] 2025-06-16 04:34:33,309Z [pbcore.io.dataset.DataSetIO index 2024] Done populating index
[INFO] 2025-06-16 04:34:33,310Z [pbreports.io.ccs get_supplemental_report 293] Found ccs_processing report at /data/nrtb/1/m84082_250614_101514_s4/pb_internal/analysis/statistics/m84082_250614_101514_s4.ccs_report.json
[INFO] 2025-06-16 04:34:33,332Z [pbreports.report.ccs2 make_report 605] There are 8055065 total reads in the index
[INFO] 2025-06-16 04:34:33,332Z [pbreports.io.ccs get_fail_reads_lengths_qualities 254] Checking dataset resources for fail_reads.bam
[INFO] 2025-06-16 04:34:33,332Z [pbreports.io.ccs get_fail_reads_lengths_qualities 257] Found /data/nrtb/1/m84082_250614_101514_s4/pb_internal/analysis/fail_reads/m84082_250614_101514_s4.fail_reads.bam
[INFO] 2025-06-16 04:34:33,806Z [pbreports.report.ccs2 make_report 607] Found 1831786 failed reads
[INFO] 2025-06-16 04:34:33,806Z [pbreports.report.ccs2 make_report 610] Plotting overall metrics from CCS
[INFO] 2025-06-16 04:34:34,696Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/ccs_all_readlength_hist_plot.png with dpi 100
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=16.0.
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,699Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,700Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 04:34:34,701Z [matplotlib.font_manager _findfont_cached 1367] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=16.0 to DejaVu Sans ('/usr/local/lib64/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0.
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,711Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 04:34:34,712Z [matplotlib.font_manager _findfont_cached 1367] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to DejaVu Sans ('/usr/local/lib64/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
[DEBUG] 2025-06-16 04:34:34,734Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
[DEBUG] 2025-06-16 04:34:34,734Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,734Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,734Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,734Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,734Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,734Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,735Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,736Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-06-16 04:34:34,737Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,737Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 04:34:34,737Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,737Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 04:34:34,737Z [matplotlib.font_manager _findfont_cached 1367] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('/usr/local/lib64/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
[INFO] 2025-06-16 04:34:34,831Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/ccs_all_readlength_hist_plot_thumb.png with dpi 20
[DEBUG] 2025-06-16 04:34:34,837Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=16.0.
[DEBUG] 2025-06-16 04:34:34,837Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,837Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,838Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,839Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 04:34:34,840Z [matplotlib.font_manager _findfont_cached 1367] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=16.0 to DejaVu Sans ('/usr/local/lib64/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
[INFO] 2025-06-16 04:34:36,057Z [pbreports.plot.ccs plot_base_yield 166] Total Gb: 52.08303550999997
[INFO] 2025-06-16 04:34:36,060Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/ccs_hifi_read_length_yield_plot.png with dpi 100
[INFO] 2025-06-16 04:34:36,172Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/ccs_hifi_read_length_yield_plot_thumb.png with dpi 20
[INFO] 2025-06-16 04:34:37,617Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/ccs_combined_readlength_hist_plot.png with dpi 100
[INFO] 2025-06-16 04:34:37,772Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/ccs_combined_readlength_hist_plot_thumb.png with dpi 20
[INFO] 2025-06-16 04:34:38,035Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/ccs_npasses_hist.png with dpi 100
[INFO] 2025-06-16 04:34:38,136Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/ccs_npasses_hist_thumb.png with dpi 20
[INFO] 2025-06-16 04:34:38,210Z [pbreports.report.ccs2 _to_plot_groups 486] Non-zero read qualities, will generate QV plots
[INFO] 2025-06-16 04:34:38,955Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/ccs_accuracy_hist.png with dpi 100
[INFO] 2025-06-16 04:34:39,045Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/ccs_accuracy_hist_thumb.png with dpi 20
[INFO] 2025-06-16 04:34:39,634Z [pbreports.plot.ccs plot_qlen_vs_qv 321] Truncating read lengths at 99.9% (32112)
[DEBUG] 2025-06-16 04:34:40,897Z [matplotlib.colorbar _get_ticker_locator_formatter 620] locator: <matplotlib.colorbar._ColorbarLogLocator object at 0x7fbd10da6340>
[DEBUG] 2025-06-16 04:34:40,897Z [matplotlib.colorbar update_ticks 665] Using auto colorbar locator <matplotlib.colorbar._ColorbarLogLocator object at 0x7fbd10da6340> on colorbar
[DEBUG] 2025-06-16 04:34:40,897Z [matplotlib.colorbar _add_solids_pcolormesh 794] Setting pcolormesh
[DEBUG] 2025-06-16 04:34:40,965Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,966Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:40,970Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,970Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:40,974Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,974Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:40,975Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,975Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=18.0.
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:40,976Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,977Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 04:34:40,978Z [matplotlib.font_manager _findfont_cached 1367] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=18.0 to DejaVu Sans ('/usr/local/lib64/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
[INFO] 2025-06-16 04:34:40,980Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/readlength_qv_hist2d.hexbin.png with dpi 100
[DEBUG] 2025-06-16 04:34:40,994Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,994Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:40,995Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,995Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:40,997Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,997Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:40,998Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:40,998Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,006Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,006Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,006Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,006Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,007Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,007Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,007Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,007Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,016Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,016Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,016Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,016Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,017Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,017Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,018Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,018Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,025Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,025Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,026Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,026Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,026Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,026Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,027Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,027Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,071Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,071Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,071Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,071Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,076Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,076Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,077Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,077Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[INFO] 2025-06-16 04:34:41,155Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/readlength_qv_hist2d.hexbin_thumb.png with dpi 20
[DEBUG] 2025-06-16 04:34:41,169Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,169Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,170Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,170Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,173Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,173Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,174Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,174Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,182Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,182Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,182Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,182Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,183Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,183Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,183Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,184Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,192Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,192Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,192Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,192Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,193Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,193Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,193Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,193Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,201Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,201Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,202Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,202Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,202Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,202Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,203Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,203Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,232Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,232Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,233Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,233Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,238Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,238Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-06-16 04:34:41,238Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 471578.0
[DEBUG] 2025-06-16 04:34:41,238Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[INFO] 2025-06-16 04:34:51,952Z [pbreports.report.ccs2 _get_frac_q30_bases 163] Extracting Q30 yield from ccs_processing report
[INFO] 2025-06-16 04:34:51,953Z [pbreports.report.ccs2 _get_missing_adapters 151] Extracting percent missing adapters from ccs_processing report
[DEBUG] 2025-06-16 04:34:51,953Z [pbcore.io.dataset.DataSetIO updateCounts 2664] Updating counts
[INFO] 2025-06-16 04:34:53,545Z [pbreports.io.ccs get_supplemental_report 293] Found 5mc_report report at /data/nrtb/1/m84082_250614_101514_s4/pb_internal/analysis/statistics/m84082_250614_101514_s4.hifi_reads.5mc_report.json
[INFO] 2025-06-16 04:34:53,546Z [pbreports.io.ccs get_supplemental_report 293] Found 6ma_report report at /data/nrtb/1/m84082_250614_101514_s4/pb_internal/analysis/statistics/m84082_250614_101514_s4.hifi_reads.6ma_report.json
[INFO] 2025-06-16 04:34:53,593Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/5mc_detections_hist.png with dpi 100
[INFO] 2025-06-16 04:34:53,687Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/5mc_detections_hist_thumb.png with dpi 20
[INFO] 2025-06-16 04:34:53,807Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/6ma_detections_hist.png with dpi 100
[INFO] 2025-06-16 04:34:53,903Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/6ma_detections_hist_thumb.png with dpi 20
[INFO] 2025-06-16 04:34:53,980Z [pbreports.tasks.runqc_reports to_runqc_reports 122] Found sts.xml, generating RunQC reports
[INFO] 2025-06-16 04:34:53,981Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running to_report_impl --> loading.report.json
[INFO] 2025-06-16 04:34:53,981Z [pbreports.report.loading to_report_impl 47] Getting loading metrics for AS-266_Goetz-Pool2_HiFi_300pM-Cell4
[INFO] 2025-06-16 04:34:53,981Z [pbreports.report.loading to_report_impl 60] Productivity: P0=35.963 P1=63.358 P2=0.679
[INFO] 2025-06-16 04:34:53,981Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running _to_raw_data_report --> raw_data.report.json
[INFO] 2025-06-16 04:34:53,981Z [pbreports.report.raw_data to_report_impl 436] Unique molecular yield from sts.xml: 129460207616
[INFO] 2025-06-16 04:34:53,981Z [pbreports.report.raw_data to_report_impl 438] Processing CCS dataset
[INFO] 2025-06-16 04:34:59,173Z [pbreports.report.raw_data to_report_impl 448] Generating plots
[INFO] 2025-06-16 04:35:01,977Z [pbreports.sts_xml rescale_dists 274] Will truncate at 48000
[INFO] 2025-06-16 04:35:04,829Z [pbreports.sts_xml rescale_dists 291] Ignoring limit 340462
[INFO] 2025-06-16 04:35:04,894Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/readLenDist0.png with dpi 100
[INFO] 2025-06-16 04:35:04,993Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/readLenDist0_thumb.png with dpi 20
[INFO] 2025-06-16 04:35:05,065Z [pbreports.report.raw_data to_hexbin_plot 324] Plotting insert read lengths versus polymerase read lengths
[WARNING] 2025-06-16 04:35:05,202Z [pbreports.plot.runqc plot_insert_length_vs_read_length 152] Truncating 1 processed read lengths to 100
[DEBUG] 2025-06-16 04:35:05,573Z [pbreports.plot.runqc plot_insert_length_vs_read_length 158] Creating plot
[DEBUG] 2025-06-16 04:35:07,665Z [matplotlib.colorbar _get_ticker_locator_formatter 620] locator: <matplotlib.colorbar._ColorbarLogLocator object at 0x7fbd10e029d0>
[DEBUG] 2025-06-16 04:35:07,665Z [matplotlib.colorbar update_ticks 665] Using auto colorbar locator <matplotlib.colorbar._ColorbarLogLocator object at 0x7fbd10e029d0> on colorbar
[DEBUG] 2025-06-16 04:35:07,665Z [matplotlib.colorbar _add_solids_pcolormesh 794] Setting pcolormesh
[INFO] 2025-06-16 04:35:07,674Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/hexbin_length_plot.png with dpi 100
[DEBUG] 2025-06-16 04:35:07,676Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=15.686274509803921.
[DEBUG] 2025-06-16 04:35:07,676Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,676Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:35:07,676Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,676Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:35:07,677Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 04:35:07,678Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 04:35:07,679Z [matplotlib.font_manager _findfont_cached 1367] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=15.686274509803921 to DejaVu Sans ('/usr/local/lib64/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
[DEBUG] 2025-06-16 04:35:07,697Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,697Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,700Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,700Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,703Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,703Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,704Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,704Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,712Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,712Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,712Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,712Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,713Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,713Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,713Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,713Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,721Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,721Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,722Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,722Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,722Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,722Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,723Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,723Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,730Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,730Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,730Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,730Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,731Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,731Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,731Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,731Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,774Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,774Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,775Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,775Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,779Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,779Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,779Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,779Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[INFO] 2025-06-16 04:35:07,846Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/hexbin_length_plot_thumb.png with dpi 20
[DEBUG] 2025-06-16 04:35:07,863Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,863Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,863Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,863Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,866Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,867Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,867Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,867Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,875Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,875Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,875Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,875Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,876Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,876Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,876Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,876Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,884Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,884Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,885Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,885Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,885Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,885Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,886Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,886Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,893Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,893Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,894Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,894Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,894Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,894Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,895Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,895Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,925Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,925Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,925Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,925Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,929Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,929Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-06-16 04:35:07,930Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 90482.0
[DEBUG] 2025-06-16 04:35:07,930Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[INFO] 2025-06-16 04:35:07,940Z [pbreports.report.raw_data to_base_yield_plot 342] Plotting base yield as a function of read length
[DEBUG] 2025-06-16 04:35:07,940Z [pbreports.plot.runqc plot_base_yield_histogram 211] Computing N50 and N95
[DEBUG] 2025-06-16 04:35:09,394Z [pbreports.plot.runqc plot_base_yield_histogram 214] Generating bin data
[DEBUG] 2025-06-16 04:35:11,826Z [pbreports.plot.runqc plot_base_yield_histogram 216] Initializing plot
[DEBUG] 2025-06-16 04:35:11,846Z [pbreports.plot.runqc plot_base_yield_histogram 224] Generating patches
[INFO] 2025-06-16 04:35:11,850Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/base_yield_plot.png with dpi 100
[INFO] 2025-06-16 04:35:11,942Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/base_yield_plot_thumb.png with dpi 20
[INFO] 2025-06-16 04:35:11,999Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running to_report_impl --> control.report.json
[INFO] 2025-06-16 04:35:12,080Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/readlength_plot.png with dpi 100
[INFO] 2025-06-16 04:35:12,170Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/readlength_plot_thumb.png with dpi 20
[INFO] 2025-06-16 04:35:12,274Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_101514_s4.tmp/concordance_plot.png with dpi 100
[INFO] 2025-06-16 04:35:12,386Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_101514_s4.tmp/concordance_plot_thumb.png with dpi 20
[INFO] 2025-06-16 04:35:12,468Z [pbreports.tasks.runqc_reports to_runqc_reports 126] Wrote 5 reports
[DEBUG] 2025-06-16 04:35:12,470Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 04:35:12,470Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 04:35:12,470Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 04:35:12,471Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 04:35:12,471Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 04:35:12,471Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,471Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,471Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,472Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,472Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,472Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,472Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,473Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,473Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,473Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,473Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,473Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,473Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,473Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,474Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:12,474Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 04:35:12,485Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 04:35:12,485Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-06-16 04:35:12,486Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-06-16 04:35:12,486Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[DEBUG] 2025-06-16 04:35:12,486Z [pbcore.io.dataset.DataSetIO _openFiles 2149] Opening ReadSet resources
[DEBUG] 2025-06-16 04:35:19,650Z [pbcore.io.dataset.DataSetIO _openFiles 2215] Done opening resources
[INFO] 2025-06-16 04:35:19,650Z [pbreports.report.barcode to_report 393] Loading barcode IDs
[WARNING] 2025-06-16 04:35:19,650Z [pbreports.tasks.runqc_reports to_barcodes_reports 227] Can't find barcodes FASTA - this program only runs on the top-level output of 'lima'.
[INFO] 2025-06-16 04:35:19,651Z [pbreports.tasks.runqc_reports args_runner 262] Extracting services models from input XML(s)...
[DEBUG] 2025-06-16 04:35:19,652Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 04:35:19,652Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 04:35:19,652Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 04:35:19,652Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 04:35:19,653Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 04:35:19,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,654Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,654Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,654Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,655Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,655Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,655Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,655Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,655Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,655Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,656Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,656Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:19,656Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 04:35:19,669Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 04:35:19,669Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[INFO] 2025-06-16 04:35:19,669Z [pbreports.tasks.runqc_reports args_runner 266] Report PDF output requested
[INFO] 2025-06-16 04:35:19,770Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report ccs2
[INFO] 2025-06-16 04:35:19,770Z [pbreports.reports2pdf process_report 141] Loading spec for report ccs2
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 36832
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 35527
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 42647
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,772Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 40644
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 43478
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,773Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[INFO] 2025-06-16 04:35:19,773Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report methylation
[INFO] 2025-06-16 04:35:19,773Z [pbreports.reports2pdf process_report 141] Loading spec for report methylation
[DEBUG] 2025-06-16 04:35:19,819Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,819Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,819Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,819Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 22964
[DEBUG] 2025-06-16 04:35:19,820Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,820Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,820Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,820Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 23594
[WARNING] 2025-06-16 04:35:19,820Z [pbreports.reports2pdf make_dataset_pdf_report 265] No report with ID barcode was generated
[INFO] 2025-06-16 04:35:19,820Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report loading_xml_report
[INFO] 2025-06-16 04:35:19,820Z [pbreports.reports2pdf process_report 141] Loading spec for report loading_xml_report
[INFO] 2025-06-16 04:35:19,820Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report raw_data_report
[INFO] 2025-06-16 04:35:19,820Z [pbreports.reports2pdf process_report 141] Loading spec for report raw_data_report
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 35444
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-06-16 04:35:19,821Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 61327
[INFO] 2025-06-16 04:35:19,822Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report control
[INFO] 2025-06-16 04:35:19,822Z [pbreports.reports2pdf process_report 141] Loading spec for report control
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 27109
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,822Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 31448
[DEBUG] 2025-06-16 04:35:19,824Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,824Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,833Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,833Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,836Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,836Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,840Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,840Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,842Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,843Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,844Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,844Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,844Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,844Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 36832
[DEBUG] 2025-06-16 04:35:19,881Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,881Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,882Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,882Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,882Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,882Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 35527
[DEBUG] 2025-06-16 04:35:19,918Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,918Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,919Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,919Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,919Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,919Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 42647
[DEBUG] 2025-06-16 04:35:19,959Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,959Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:19,960Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,960Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:19,960Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:19,960Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 40644
[DEBUG] 2025-06-16 04:35:19,998Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:19,998Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,000Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,000Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,000Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,000Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 43478
[DEBUG] 2025-06-16 04:35:20,038Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,039Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,040Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,040Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,040Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,040Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-06-16 04:35:20,224Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,224Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,226Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,226Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,228Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,228Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,228Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,228Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 22964
[DEBUG] 2025-06-16 04:35:20,255Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,255Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,257Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,257Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,257Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,257Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 23594
[DEBUG] 2025-06-16 04:35:20,285Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,285Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,287Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,287Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,290Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,290Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,291Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,292Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,292Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,292Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 35444
[DEBUG] 2025-06-16 04:35:20,328Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,328Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,330Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,330Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,330Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,330Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-06-16 04:35:20,478Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,479Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,480Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,480Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,480Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,480Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 61327
[DEBUG] 2025-06-16 04:35:20,525Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,525Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,528Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,528Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,529Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,529Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,529Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,529Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 27109
[DEBUG] 2025-06-16 04:35:20,562Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,562Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 04:35:20,563Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 04:35:20,563Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 04:35:20,563Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 04:35:20,563Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 31448
[INFO] 2025-06-16 04:35:20,646Z [pbreports.reports2pdf make_dataset_pdf_report 276] Wrote pdf to /data/nrtb/1/m84082_250614_101514_s4/pb_internal/analysis/statistics/m84082_250614_101514_s4.report.pdf
[INFO] 2025-06-16 04:35:20,646Z [pbreports.tasks.runqc_reports args_runner 278] Zipfile output requested
[INFO] 2025-06-16 04:35:20,646Z [pbreports.tasks.runqc_reports write_reports_zip_file 139] Writing 5 reports with plots to /data/nrtb/1/m84082_250614_101514_s4/pb_internal/analysis/statistics/m84082_250614_101514_s4.reports.zip
[INFO] 2025-06-16 04:35:20,647Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_all_readlength_hist_plot.png
[INFO] 2025-06-16 04:35:20,648Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_all_readlength_hist_plot_thumb.png
[INFO] 2025-06-16 04:35:20,649Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_hifi_read_length_yield_plot.png
[INFO] 2025-06-16 04:35:20,650Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_hifi_read_length_yield_plot_thumb.png
[INFO] 2025-06-16 04:35:20,650Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_combined_readlength_hist_plot.png
[INFO] 2025-06-16 04:35:20,651Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_combined_readlength_hist_plot_thumb.png
[INFO] 2025-06-16 04:35:20,652Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_npasses_hist.png
[INFO] 2025-06-16 04:35:20,653Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_npasses_hist_thumb.png
[INFO] 2025-06-16 04:35:20,653Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_accuracy_hist.png
[INFO] 2025-06-16 04:35:20,655Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/ccs_accuracy_hist_thumb.png
[INFO] 2025-06-16 04:35:20,655Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/readlength_qv_hist2d.hexbin.png
[INFO] 2025-06-16 04:35:20,667Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/readlength_qv_hist2d.hexbin_thumb.png
[INFO] 2025-06-16 04:35:20,669Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/5mc_detections_hist.png
[INFO] 2025-06-16 04:35:20,670Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/5mc_detections_hist_thumb.png
[INFO] 2025-06-16 04:35:20,670Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/6ma_detections_hist.png
[INFO] 2025-06-16 04:35:20,671Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/6ma_detections_hist_thumb.png
[INFO] 2025-06-16 04:35:20,671Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/readLenDist0.png
[INFO] 2025-06-16 04:35:20,672Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/readLenDist0_thumb.png
[INFO] 2025-06-16 04:35:20,673Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/hexbin_length_plot.png
[INFO] 2025-06-16 04:35:20,682Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/hexbin_length_plot_thumb.png
[INFO] 2025-06-16 04:35:20,683Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/base_yield_plot.png
[INFO] 2025-06-16 04:35:20,685Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/base_yield_plot_thumb.png
[INFO] 2025-06-16 04:35:20,686Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/readlength_plot.png
[INFO] 2025-06-16 04:35:20,687Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/readlength_plot_thumb.png
[INFO] 2025-06-16 04:35:20,687Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/concordance_plot.png
[INFO] 2025-06-16 04:35:20,688Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_101514_s4.tmp/concordance_plot_thumb.png
[INFO] 2025-06-16 04:35:20,688Z [pbreports.tasks.runqc_reports write_reports_zip_file 179] Adding PDF report m84082_250614_101514_s4.report.pdf to zip
[INFO] 2025-06-16 04:35:20,728Z [pbreports.tasks.runqc_reports write_reports_zip_file 182] Compressed reports are 1976 KB
[DEBUG] 2025-06-16 04:35:20,729Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 04:35:20,729Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 04:35:20,729Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 04:35:20,730Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 04:35:20,730Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 04:35:20,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,732Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,733Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 04:35:20,733Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 04:35:20,744Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 04:35:20,745Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-06-16 04:35:20,745Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-06-16 04:35:20,745Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[INFO] 2025-06-16 04:35:20,745Z [pbreports.tasks.runqc_reports update_dataset_with_zip_resource 207] Updating dataset 'AS-266_Goetz-Pool2_HiFi_300pM-Cell4' (UUID: b152c553-3819-4d69-ab4a-078e1cecdc0e) with supplemental report resource(s)
[DEBUG] 2025-06-16 04:35:20,745Z [pbcore.io.dataset.DataSetIO makePathsRelative 1315] Making paths relative
[DEBUG] 2025-06-16 04:35:20,748Z [pbcore.io.dataset.DataSetIO write 1141] Writing DataSet...
[DEBUG] 2025-06-16 04:35:20,748Z [pbcore.io.dataset.DataSetIO write 1160] Serializing XML...
[DEBUG] 2025-06-16 04:35:20,748Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 04:35:20,748Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 04:35:20,748Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 04:35:20,749Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 04:35:20,749Z [pbcore.io.dataset.DataSetIO write 1162] Done serializing XML
[DEBUG] 2025-06-16 04:35:20,749Z [pbcore.io.dataset.DataSetIO write 1165] Making pretty...
[DEBUG] 2025-06-16 04:35:20,753Z [pbcore.io.dataset.DataSetIO write 1168] Done making pretty...
[DEBUG] 2025-06-16 04:35:20,753Z [pbcore.io.dataset.DataSetIO write 1173] Validating...
[DEBUG] 2025-06-16 04:35:20,754Z [pbcore.io.dataset.DataSetIO write 1181] Done validating
[DEBUG] 2025-06-16 04:35:20,754Z [pbcore.io.dataset.DataSetIO write 1193] Writing...
[DEBUG] 2025-06-16 04:35:20,754Z [pbcore.io.dataset.DataSetIO write 1196] Done writing
[DEBUG] 2025-06-16 04:35:20,754Z [pbcore.io.dataset.DataSetIO write 1201] Done writing DataSet
[INFO] 2025-06-16 04:35:20,755Z [pbreports.tasks.runqc_reports update_dataset_with_zip_resource 212] Wrote updated dataset to pb_formats/m84082_250614_101514_s4.hifi_reads.consensusreadset.xml
[INFO] 2025-06-16 04:35:20,755Z [pbreports.tasks.runqc_reports _pacbio_main_runner 206] Max RSS (kB): 2447424
[INFO] 2025-06-16 04:35:20,755Z [pbreports.tasks.runqc_reports _pacbio_main_runner 207] exiting with return code 0 in 63.72 sec.