[INFO] 2025-06-16 03:36:40,717Z [pbreports.tasks.runqc_reports _pacbio_main_runner 161] Using pbcommand v2.8.8
[INFO] 2025-06-16 03:36:40,717Z [pbreports.tasks.runqc_reports _pacbio_main_runner 162] completed setting up logger with <function setup_log at 0x7f50d86ec160>
[INFO] 2025-06-16 03:36:40,718Z [pbreports.tasks.runqc_reports _pacbio_main_runner 165] log opts {'level': 10, 'file_name': 'statistics/m84082_250614_081210_s3.pbreports.log'}
[INFO] 2025-06-16 03:36:40,718Z [pbreports.tasks.runqc_reports args_runner 238] Using pbreports v
[DEBUG] 2025-06-16 03:36:40,719Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 03:36:40,719Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 03:36:40,719Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 03:36:40,719Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 03:36:40,720Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 03:36:40,720Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,720Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,720Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,721Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,721Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,722Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,722Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,722Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,723Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,723Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,723Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,723Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,724Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,724Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,724Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:36:40,724Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 03:36:40,737Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 03:36:40,738Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-06-16 03:36:40,738Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-06-16 03:36:40,738Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[INFO] 2025-06-16 03:36:40,738Z [pbreports.util load_stats_if_present 147] Attempting to load run summary stats
[INFO] 2025-06-16 03:36:40,738Z [pbreports.util load_stats_if_present 149] Single-BAM dataset
[INFO] 2025-06-16 03:36:40,738Z [pbreports.io.ccs read_zmw_metrics_from_csv 127] Loading ZMW metrics from /data/nrta/1/m84082_250614_081210_s3/pb_internal/analysis/statistics/m84082_250614_081210_s3.zmw_metrics.csv.gz
[INFO] 2025-06-16 03:36:47,886Z [pbreports.tasks.runqc_reports to_runqc_reports 102] Generating CCS report
[INFO] 2025-06-16 03:36:47,886Z [pbreports.io.ccs load_all_ccs_data 230] Checking dataset for supplemental CCS BAM resources
[DEBUG] 2025-06-16 03:36:47,886Z [pbcore.io.dataset.DataSetIO _openFiles 2149] Opening ReadSet resources
[DEBUG] 2025-06-16 03:36:58,252Z [pbcore.io.dataset.DataSetIO _openFiles 2215] Done opening resources
[DEBUG] 2025-06-16 03:36:58,252Z [pbcore.io.dataset.DataSetIO index 2021] Populating index
[DEBUG] 2025-06-16 03:36:59,911Z [pbcore.io.dataset.DataSetIO index 2024] Done populating index
[INFO] 2025-06-16 03:36:59,912Z [pbreports.io.ccs get_supplemental_report 293] Found ccs_processing report at /data/nrta/1/m84082_250614_081210_s3/pb_internal/analysis/statistics/m84082_250614_081210_s3.ccs_report.json
[INFO] 2025-06-16 03:36:59,935Z [pbreports.report.ccs2 make_report 605] There are 9035907 total reads in the index
[INFO] 2025-06-16 03:36:59,935Z [pbreports.io.ccs get_fail_reads_lengths_qualities 254] Checking dataset resources for fail_reads.bam
[INFO] 2025-06-16 03:36:59,935Z [pbreports.io.ccs get_fail_reads_lengths_qualities 257] Found /data/nrta/1/m84082_250614_081210_s3/pb_internal/analysis/fail_reads/m84082_250614_081210_s3.fail_reads.bam
[INFO] 2025-06-16 03:37:00,461Z [pbreports.report.ccs2 make_report 607] Found 2062089 failed reads
[INFO] 2025-06-16 03:37:00,462Z [pbreports.report.ccs2 make_report 610] Plotting overall metrics from CCS
[INFO] 2025-06-16 03:37:01,443Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/ccs_all_readlength_hist_plot.png with dpi 100
[DEBUG] 2025-06-16 03:37:01,445Z [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 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,446Z [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 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,446Z [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 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,446Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [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 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,447Z [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 03:37:01,447Z [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 03:37:01,447Z [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 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,447Z [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 03:37:01,447Z [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 03:37:01,447Z [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 03:37:01,447Z [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 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,447Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,448Z [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 03:37:01,448Z [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 03:37:01,448Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 03:37:01,448Z [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 03:37:01,448Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,448Z [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 03:37:01,448Z [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 03:37:01,448Z [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 03:37:01,448Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 03:37:01,448Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,448Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 03:37:01,448Z [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 03:37:01,448Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 03:37:01,448Z [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 03:37:01,448Z [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 03:37:01,448Z [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 03:37:01,448Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 03:37:01,448Z [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 03:37:01,458Z [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 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,458Z [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 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,458Z [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 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,458Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [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 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,459Z [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 03:37:01,459Z [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 03:37:01,459Z [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 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,459Z [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 03:37:01,459Z [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 03:37:01,459Z [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 03:37:01,459Z [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 03:37:01,459Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,460Z [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 03:37:01,460Z [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 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 03:37:01,460Z [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 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,460Z [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 03:37:01,460Z [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 03:37:01,460Z [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 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 03:37:01,460Z [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 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 03:37:01,460Z [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 03:37:01,460Z [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 03:37:01,460Z [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 03:37:01,460Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 03:37:01,460Z [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 03:37:01,481Z [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 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,481Z [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 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,481Z [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 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,481Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [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 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,482Z [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 03:37:01,482Z [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 03:37:01,482Z [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 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,482Z [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 03:37:01,482Z [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 03:37:01,482Z [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 03:37:01,482Z [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 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,482Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,483Z [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 03:37:01,483Z [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 03:37:01,483Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 03:37:01,483Z [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 03:37:01,483Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,483Z [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 03:37:01,483Z [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 03:37:01,483Z [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 03:37:01,483Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 03:37:01,483Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,483Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 03:37:01,483Z [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 03:37:01,483Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 03:37:01,483Z [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 03:37:01,483Z [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 03:37:01,483Z [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 03:37:01,483Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 03:37:01,483Z [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 03:37:01,575Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/ccs_all_readlength_hist_plot_thumb.png with dpi 20
[DEBUG] 2025-06-16 03:37:01,582Z [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 03:37:01,582Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,582Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,583Z [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 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,583Z [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 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,583Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,584Z [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 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,584Z [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 03:37:01,584Z [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 03:37:01,584Z [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 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:01,584Z [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 03:37:01,584Z [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 03:37:01,584Z [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 03:37:01,584Z [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 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:01,584Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:01,584Z [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 03:37:01,584Z [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 03:37:01,585Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 03:37:01,585Z [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 03:37:01,585Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:01,585Z [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 03:37:01,585Z [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 03:37:01,585Z [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 03:37:01,585Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 03:37:01,585Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:01,585Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 03:37:01,585Z [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 03:37:01,585Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 03:37:01,585Z [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 03:37:01,585Z [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 03:37:01,585Z [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 03:37:01,585Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 03:37:01,585Z [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 03:37:03,012Z [pbreports.plot.ccs plot_base_yield 166] Total Gb: 60.80034795899992
[INFO] 2025-06-16 03:37:03,015Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/ccs_hifi_read_length_yield_plot.png with dpi 100
[INFO] 2025-06-16 03:37:03,130Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/ccs_hifi_read_length_yield_plot_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:04,732Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/ccs_combined_readlength_hist_plot.png with dpi 100
[INFO] 2025-06-16 03:37:04,881Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/ccs_combined_readlength_hist_plot_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:05,149Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/ccs_npasses_hist.png with dpi 100
[INFO] 2025-06-16 03:37:05,249Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/ccs_npasses_hist_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:05,321Z [pbreports.report.ccs2 _to_plot_groups 486] Non-zero read qualities, will generate QV plots
[INFO] 2025-06-16 03:37:06,115Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/ccs_accuracy_hist.png with dpi 100
[INFO] 2025-06-16 03:37:06,204Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/ccs_accuracy_hist_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:06,854Z [pbreports.plot.ccs plot_qlen_vs_qv 321] Truncating read lengths at 99.9% (37728)
[DEBUG] 2025-06-16 03:37:08,272Z [matplotlib.colorbar _get_ticker_locator_formatter 620] locator: <matplotlib.colorbar._ColorbarLogLocator object at 0x7f50c2ae18b0>
[DEBUG] 2025-06-16 03:37:08,273Z [matplotlib.colorbar update_ticks 665] Using auto colorbar locator <matplotlib.colorbar._ColorbarLogLocator object at 0x7f50c2ae18b0> on colorbar
[DEBUG] 2025-06-16 03:37:08,273Z [matplotlib.colorbar _add_solids_pcolormesh 794] Setting pcolormesh
[DEBUG] 2025-06-16 03:37:08,344Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,344Z [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 03:37:08,348Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,348Z [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 03:37:08,353Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,353Z [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 03:37:08,353Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,353Z [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 03:37:08,354Z [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 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:08,355Z [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 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:08,355Z [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 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,355Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,356Z [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 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,356Z [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 03:37:08,356Z [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 03:37:08,356Z [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 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:08,356Z [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 03:37:08,356Z [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 03:37:08,356Z [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 03:37:08,356Z [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 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:08,356Z [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 03:37:08,356Z [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 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 03:37:08,356Z [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 03:37:08,356Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:08,356Z [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 03:37:08,357Z [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 03:37:08,357Z [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 03:37:08,357Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 03:37:08,357Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:08,357Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 03:37:08,357Z [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 03:37:08,357Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 03:37:08,357Z [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 03:37:08,357Z [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 03:37:08,357Z [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 03:37:08,357Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 03:37:08,357Z [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 03:37:08,359Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/readlength_qv_hist2d.hexbin.png with dpi 100
[DEBUG] 2025-06-16 03:37:08,373Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,373Z [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 03:37:08,373Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,373Z [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 03:37:08,376Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,376Z [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 03:37:08,376Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,376Z [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 03:37:08,384Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,384Z [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 03:37:08,385Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,385Z [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 03:37:08,385Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,385Z [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 03:37:08,386Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,386Z [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 03:37:08,394Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,394Z [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 03:37:08,395Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,395Z [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 03:37:08,395Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,395Z [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 03:37:08,396Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,396Z [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 03:37:08,403Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,403Z [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 03:37:08,404Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,404Z [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 03:37:08,404Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,405Z [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 03:37:08,405Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,405Z [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 03:37:08,448Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,449Z [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 03:37:08,449Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,449Z [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 03:37:08,454Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,454Z [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 03:37:08,454Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,454Z [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 03:37:08,531Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/readlength_qv_hist2d.hexbin_thumb.png with dpi 20
[DEBUG] 2025-06-16 03:37:08,546Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,546Z [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 03:37:08,546Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,546Z [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 03:37:08,550Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,550Z [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 03:37:08,550Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,550Z [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 03:37:08,559Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,559Z [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 03:37:08,559Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,559Z [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 03:37:08,560Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,560Z [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 03:37:08,560Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,560Z [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 03:37:08,569Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,569Z [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 03:37:08,569Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,569Z [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 03:37:08,570Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,570Z [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 03:37:08,570Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,570Z [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 03:37:08,578Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,578Z [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 03:37:08,578Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,578Z [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 03:37:08,579Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,579Z [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 03:37:08,579Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,579Z [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 03:37:08,609Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,609Z [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 03:37:08,610Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,610Z [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 03:37:08,614Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,614Z [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 03:37:08,615Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 606238.0
[DEBUG] 2025-06-16 03:37:08,615Z [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 03:37:20,334Z [pbreports.report.ccs2 _get_frac_q30_bases 163] Extracting Q30 yield from ccs_processing report
[INFO] 2025-06-16 03:37:20,335Z [pbreports.report.ccs2 _get_missing_adapters 151] Extracting percent missing adapters from ccs_processing report
[DEBUG] 2025-06-16 03:37:20,335Z [pbcore.io.dataset.DataSetIO updateCounts 2664] Updating counts
[INFO] 2025-06-16 03:37:22,084Z [pbreports.io.ccs get_supplemental_report 293] Found 5mc_report report at /data/nrta/1/m84082_250614_081210_s3/pb_internal/analysis/statistics/m84082_250614_081210_s3.hifi_reads.5mc_report.json
[INFO] 2025-06-16 03:37:22,085Z [pbreports.io.ccs get_supplemental_report 293] Found 6ma_report report at /data/nrta/1/m84082_250614_081210_s3/pb_internal/analysis/statistics/m84082_250614_081210_s3.hifi_reads.6ma_report.json
[INFO] 2025-06-16 03:37:22,132Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/5mc_detections_hist.png with dpi 100
[INFO] 2025-06-16 03:37:22,227Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/5mc_detections_hist_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:22,346Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/6ma_detections_hist.png with dpi 100
[INFO] 2025-06-16 03:37:22,445Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/6ma_detections_hist_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:22,523Z [pbreports.tasks.runqc_reports to_runqc_reports 122] Found sts.xml, generating RunQC reports
[INFO] 2025-06-16 03:37:22,523Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running to_report_impl --> loading.report.json
[INFO] 2025-06-16 03:37:22,523Z [pbreports.report.loading to_report_impl 47] Getting loading metrics for AS-266_Goetz-Pool1_HiFi_300pM-Cell3
[INFO] 2025-06-16 03:37:22,523Z [pbreports.report.loading to_report_impl 60] Productivity: P0=34.103 P1=65.419 P2=0.478
[INFO] 2025-06-16 03:37:22,523Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running _to_raw_data_report --> raw_data.report.json
[INFO] 2025-06-16 03:37:22,524Z [pbreports.report.raw_data to_report_impl 436] Unique molecular yield from sts.xml: 136956985344
[INFO] 2025-06-16 03:37:22,524Z [pbreports.report.raw_data to_report_impl 438] Processing CCS dataset
[INFO] 2025-06-16 03:37:27,748Z [pbreports.report.raw_data to_report_impl 448] Generating plots
[INFO] 2025-06-16 03:37:30,671Z [pbreports.sts_xml rescale_dists 274] Will truncate at 46500
[INFO] 2025-06-16 03:37:33,630Z [pbreports.sts_xml rescale_dists 291] Ignoring limit 340462
[INFO] 2025-06-16 03:37:33,694Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/readLenDist0.png with dpi 100
[INFO] 2025-06-16 03:37:33,795Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/readLenDist0_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:33,867Z [pbreports.report.raw_data to_hexbin_plot 324] Plotting insert read lengths versus polymerase read lengths
[WARNING] 2025-06-16 03:37:33,989Z [pbreports.plot.runqc plot_insert_length_vs_read_length 152] Truncating 1 processed read lengths to 100
[DEBUG] 2025-06-16 03:37:34,368Z [pbreports.plot.runqc plot_insert_length_vs_read_length 158] Creating plot
[DEBUG] 2025-06-16 03:37:36,532Z [matplotlib.colorbar _get_ticker_locator_formatter 620] locator: <matplotlib.colorbar._ColorbarLogLocator object at 0x7f50c2a69490>
[DEBUG] 2025-06-16 03:37:36,532Z [matplotlib.colorbar update_ticks 665] Using auto colorbar locator <matplotlib.colorbar._ColorbarLogLocator object at 0x7f50c2a69490> on colorbar
[DEBUG] 2025-06-16 03:37:36,532Z [matplotlib.colorbar _add_solids_pcolormesh 794] Setting pcolormesh
[INFO] 2025-06-16 03:37:36,541Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/hexbin_length_plot.png with dpi 100
[DEBUG] 2025-06-16 03:37:36,543Z [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 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:36,544Z [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 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:36,544Z [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 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,544Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [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 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,545Z [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 03:37:36,545Z [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 03:37:36,545Z [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 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-06-16 03:37:36,545Z [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 03:37:36,545Z [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 03:37:36,545Z [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 03:37:36,545Z [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 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-06-16 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-06-16 03:37:36,545Z [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 03:37:36,545Z [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 03:37:36,545Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-06-16 03:37:36,546Z [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 03:37:36,546Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-06-16 03:37:36,546Z [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 03:37:36,546Z [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 03:37:36,546Z [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 03:37:36,546Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-06-16 03:37:36,546Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-06-16 03:37:36,546Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-06-16 03:37:36,546Z [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 03:37:36,546Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-06-16 03:37:36,546Z [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 03:37:36,546Z [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 03:37:36,546Z [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 03:37:36,546Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-06-16 03:37:36,546Z [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 03:37:36,564Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,564Z [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 03:37:36,567Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,567Z [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 03:37:36,570Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,570Z [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 03:37:36,571Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,571Z [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 03:37:36,578Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,579Z [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 03:37:36,579Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,579Z [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 03:37:36,580Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,580Z [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 03:37:36,580Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,580Z [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 03:37:36,588Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,588Z [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 03:37:36,589Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,589Z [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 03:37:36,589Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,589Z [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 03:37:36,589Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,590Z [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 03:37:36,597Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,597Z [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 03:37:36,597Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,597Z [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 03:37:36,598Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,598Z [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 03:37:36,598Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,598Z [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 03:37:36,640Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,640Z [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 03:37:36,641Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,641Z [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 03:37:36,644Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,644Z [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 03:37:36,645Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,645Z [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 03:37:36,713Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/hexbin_length_plot_thumb.png with dpi 20
[DEBUG] 2025-06-16 03:37:36,729Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,729Z [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 03:37:36,730Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,730Z [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 03:37:36,733Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,733Z [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 03:37:36,733Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,733Z [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 03:37:36,741Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,741Z [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 03:37:36,742Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,742Z [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 03:37:36,742Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,742Z [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 03:37:36,743Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,743Z [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 03:37:36,751Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,751Z [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 03:37:36,751Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,751Z [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 03:37:36,752Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,752Z [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 03:37:36,752Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,752Z [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 03:37:36,759Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,759Z [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 03:37:36,760Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,760Z [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 03:37:36,760Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,760Z [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 03:37:36,761Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,761Z [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 03:37:36,790Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,790Z [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 03:37:36,791Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,791Z [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 03:37:36,795Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,795Z [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 03:37:36,795Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 72836.0
[DEBUG] 2025-06-16 03:37:36,795Z [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 03:37:36,806Z [pbreports.report.raw_data to_base_yield_plot 342] Plotting base yield as a function of read length
[DEBUG] 2025-06-16 03:37:36,806Z [pbreports.plot.runqc plot_base_yield_histogram 211] Computing N50 and N95
[DEBUG] 2025-06-16 03:37:38,268Z [pbreports.plot.runqc plot_base_yield_histogram 214] Generating bin data
[DEBUG] 2025-06-16 03:37:40,704Z [pbreports.plot.runqc plot_base_yield_histogram 216] Initializing plot
[DEBUG] 2025-06-16 03:37:40,724Z [pbreports.plot.runqc plot_base_yield_histogram 224] Generating patches
[INFO] 2025-06-16 03:37:40,729Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/base_yield_plot.png with dpi 100
[INFO] 2025-06-16 03:37:40,820Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/base_yield_plot_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:40,876Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running to_report_impl --> control.report.json
[INFO] 2025-06-16 03:37:40,957Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/readlength_plot.png with dpi 100
[INFO] 2025-06-16 03:37:41,054Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/readlength_plot_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:41,163Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_250614_081210_s3.tmp/concordance_plot.png with dpi 100
[INFO] 2025-06-16 03:37:41,277Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_250614_081210_s3.tmp/concordance_plot_thumb.png with dpi 20
[INFO] 2025-06-16 03:37:41,361Z [pbreports.tasks.runqc_reports to_runqc_reports 126] Wrote 5 reports
[DEBUG] 2025-06-16 03:37:41,362Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 03:37:41,363Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 03:37:41,363Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 03:37:41,363Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 03:37:41,363Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 03:37:41,363Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,363Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,364Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,364Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,364Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,364Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,365Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,365Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,365Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,365Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,365Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,365Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,365Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,366Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,366Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:41,366Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 03:37:41,377Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 03:37:41,377Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-06-16 03:37:41,377Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-06-16 03:37:41,378Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[DEBUG] 2025-06-16 03:37:41,378Z [pbcore.io.dataset.DataSetIO _openFiles 2149] Opening ReadSet resources
[DEBUG] 2025-06-16 03:37:49,648Z [pbcore.io.dataset.DataSetIO _openFiles 2215] Done opening resources
[INFO] 2025-06-16 03:37:49,648Z [pbreports.report.barcode to_report 393] Loading barcode IDs
[WARNING] 2025-06-16 03:37:49,648Z [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 03:37:49,649Z [pbreports.tasks.runqc_reports args_runner 262] Extracting services models from input XML(s)...
[DEBUG] 2025-06-16 03:37:49,650Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 03:37:49,650Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 03:37:49,650Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 03:37:49,650Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 03:37:49,651Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 03:37:49,651Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,651Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,651Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,651Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,651Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,652Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,652Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,652Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:49,653Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 03:37:49,666Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 03:37:49,666Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[INFO] 2025-06-16 03:37:49,667Z [pbreports.tasks.runqc_reports args_runner 266] Report PDF output requested
[INFO] 2025-06-16 03:37:49,767Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report ccs2
[INFO] 2025-06-16 03:37:49,767Z [pbreports.reports2pdf process_report 141] Loading spec for report ccs2
[DEBUG] 2025-06-16 03:37:49,768Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,768Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,768Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,768Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 36334
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 34762
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 39543
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,769Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 40930
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 41194
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[INFO] 2025-06-16 03:37:49,770Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report methylation
[INFO] 2025-06-16 03:37:49,770Z [pbreports.reports2pdf process_report 141] Loading spec for report methylation
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,770Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 22929
[DEBUG] 2025-06-16 03:37:49,771Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,771Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,771Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,771Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 24767
[WARNING] 2025-06-16 03:37:49,818Z [pbreports.reports2pdf make_dataset_pdf_report 265] No report with ID barcode was generated
[INFO] 2025-06-16 03:37:49,818Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report loading_xml_report
[INFO] 2025-06-16 03:37:49,818Z [pbreports.reports2pdf process_report 141] Loading spec for report loading_xml_report
[INFO] 2025-06-16 03:37:49,818Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report raw_data_report
[INFO] 2025-06-16 03:37:49,818Z [pbreports.reports2pdf process_report 141] Loading spec for report raw_data_report
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 38529
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,819Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 58090
[INFO] 2025-06-16 03:37:49,819Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report control
[INFO] 2025-06-16 03:37:49,820Z [pbreports.reports2pdf process_report 141] Loading spec for report control
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 30806
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,820Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 32712
[DEBUG] 2025-06-16 03:37:49,822Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,822Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,831Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,831Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,834Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,834Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,837Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,837Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,840Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,840Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,841Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,842Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,842Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,842Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 36334
[DEBUG] 2025-06-16 03:37:49,878Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,878Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,880Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,880Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,880Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,880Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 34762
[DEBUG] 2025-06-16 03:37:49,914Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,914Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,915Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,915Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,915Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,916Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 39543
[DEBUG] 2025-06-16 03:37:49,954Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,954Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,955Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,955Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,956Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,956Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 40930
[DEBUG] 2025-06-16 03:37:49,993Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,993Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:49,995Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:49,995Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:49,995Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:49,995Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 41194
[DEBUG] 2025-06-16 03:37:50,033Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,033Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,035Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,035Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,035Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,035Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-06-16 03:37:50,217Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,217Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,219Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,219Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,221Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,221Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,221Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,221Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 22929
[DEBUG] 2025-06-16 03:37:50,249Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,249Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,250Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,250Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,250Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,250Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 24767
[DEBUG] 2025-06-16 03:37:50,279Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,279Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,281Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,281Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,284Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,284Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,285Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,285Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,285Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,285Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 38529
[DEBUG] 2025-06-16 03:37:50,323Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,323Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,324Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,324Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,324Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,324Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-06-16 03:37:50,476Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,476Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,477Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,477Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,477Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,477Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 58090
[DEBUG] 2025-06-16 03:37:50,522Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,522Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,524Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,524Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,525Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,525Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,525Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,525Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 30806
[DEBUG] 2025-06-16 03:37:50,560Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,561Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-06-16 03:37:50,562Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-06-16 03:37:50,562Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-06-16 03:37:50,562Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-06-16 03:37:50,562Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 32712
[INFO] 2025-06-16 03:37:50,645Z [pbreports.reports2pdf make_dataset_pdf_report 276] Wrote pdf to /data/nrta/1/m84082_250614_081210_s3/pb_internal/analysis/statistics/m84082_250614_081210_s3.report.pdf
[INFO] 2025-06-16 03:37:50,646Z [pbreports.tasks.runqc_reports args_runner 278] Zipfile output requested
[INFO] 2025-06-16 03:37:50,646Z [pbreports.tasks.runqc_reports write_reports_zip_file 139] Writing 5 reports with plots to /data/nrta/1/m84082_250614_081210_s3/pb_internal/analysis/statistics/m84082_250614_081210_s3.reports.zip
[INFO] 2025-06-16 03:37:50,646Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_all_readlength_hist_plot.png
[INFO] 2025-06-16 03:37:50,648Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_all_readlength_hist_plot_thumb.png
[INFO] 2025-06-16 03:37:50,648Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_hifi_read_length_yield_plot.png
[INFO] 2025-06-16 03:37:50,649Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_hifi_read_length_yield_plot_thumb.png
[INFO] 2025-06-16 03:37:50,649Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_combined_readlength_hist_plot.png
[INFO] 2025-06-16 03:37:50,651Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_combined_readlength_hist_plot_thumb.png
[INFO] 2025-06-16 03:37:50,651Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_npasses_hist.png
[INFO] 2025-06-16 03:37:50,652Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_npasses_hist_thumb.png
[INFO] 2025-06-16 03:37:50,652Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_accuracy_hist.png
[INFO] 2025-06-16 03:37:50,654Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/ccs_accuracy_hist_thumb.png
[INFO] 2025-06-16 03:37:50,654Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/readlength_qv_hist2d.hexbin.png
[INFO] 2025-06-16 03:37:50,666Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/readlength_qv_hist2d.hexbin_thumb.png
[INFO] 2025-06-16 03:37:50,668Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/5mc_detections_hist.png
[INFO] 2025-06-16 03:37:50,668Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/5mc_detections_hist_thumb.png
[INFO] 2025-06-16 03:37:50,669Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/6ma_detections_hist.png
[INFO] 2025-06-16 03:37:50,669Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/6ma_detections_hist_thumb.png
[INFO] 2025-06-16 03:37:50,670Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/readLenDist0.png
[INFO] 2025-06-16 03:37:50,671Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/readLenDist0_thumb.png
[INFO] 2025-06-16 03:37:50,671Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/hexbin_length_plot.png
[INFO] 2025-06-16 03:37:50,681Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/hexbin_length_plot_thumb.png
[INFO] 2025-06-16 03:37:50,682Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/base_yield_plot.png
[INFO] 2025-06-16 03:37:50,684Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/base_yield_plot_thumb.png
[INFO] 2025-06-16 03:37:50,684Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/readlength_plot.png
[INFO] 2025-06-16 03:37:50,685Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/readlength_plot_thumb.png
[INFO] 2025-06-16 03:37:50,685Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/concordance_plot.png
[INFO] 2025-06-16 03:37:50,686Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_250614_081210_s3.tmp/concordance_plot_thumb.png
[INFO] 2025-06-16 03:37:50,687Z [pbreports.tasks.runqc_reports write_reports_zip_file 179] Adding PDF report m84082_250614_081210_s3.report.pdf to zip
[INFO] 2025-06-16 03:37:50,726Z [pbreports.tasks.runqc_reports write_reports_zip_file 182] Compressed reports are 1971 KB
[DEBUG] 2025-06-16 03:37:50,728Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 03:37:50,728Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 03:37:50,728Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 03:37:50,728Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 03:37:50,728Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-06-16 03:37:50,728Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,729Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,729Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,729Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,729Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,730Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,731Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-06-16 03:37:50,731Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-06-16 03:37:50,742Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-06-16 03:37:50,743Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-06-16 03:37:50,743Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-06-16 03:37:50,743Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[INFO] 2025-06-16 03:37:50,743Z [pbreports.tasks.runqc_reports update_dataset_with_zip_resource 207] Updating dataset 'AS-266_Goetz-Pool1_HiFi_300pM-Cell3' (UUID: ea368156-7d09-425d-9228-52a09dc68d5a) with supplemental report resource(s)
[DEBUG] 2025-06-16 03:37:50,743Z [pbcore.io.dataset.DataSetIO makePathsRelative 1315] Making paths relative
[DEBUG] 2025-06-16 03:37:50,746Z [pbcore.io.dataset.DataSetIO write 1141] Writing DataSet...
[DEBUG] 2025-06-16 03:37:50,746Z [pbcore.io.dataset.DataSetIO write 1160] Serializing XML...
[DEBUG] 2025-06-16 03:37:50,746Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-06-16 03:37:50,746Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-06-16 03:37:50,746Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-06-16 03:37:50,747Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-06-16 03:37:50,747Z [pbcore.io.dataset.DataSetIO write 1162] Done serializing XML
[DEBUG] 2025-06-16 03:37:50,747Z [pbcore.io.dataset.DataSetIO write 1165] Making pretty...
[DEBUG] 2025-06-16 03:37:50,751Z [pbcore.io.dataset.DataSetIO write 1168] Done making pretty...
[DEBUG] 2025-06-16 03:37:50,751Z [pbcore.io.dataset.DataSetIO write 1173] Validating...
[DEBUG] 2025-06-16 03:37:50,752Z [pbcore.io.dataset.DataSetIO write 1181] Done validating
[DEBUG] 2025-06-16 03:37:50,752Z [pbcore.io.dataset.DataSetIO write 1193] Writing...
[DEBUG] 2025-06-16 03:37:50,753Z [pbcore.io.dataset.DataSetIO write 1196] Done writing
[DEBUG] 2025-06-16 03:37:50,753Z [pbcore.io.dataset.DataSetIO write 1201] Done writing DataSet
[INFO] 2025-06-16 03:37:50,753Z [pbreports.tasks.runqc_reports update_dataset_with_zip_resource 212] Wrote updated dataset to pb_formats/m84082_250614_081210_s3.hifi_reads.consensusreadset.xml
[INFO] 2025-06-16 03:37:50,753Z [pbreports.tasks.runqc_reports _pacbio_main_runner 206] Max RSS (kB): 2526860
[INFO] 2025-06-16 03:37:50,753Z [pbreports.tasks.runqc_reports _pacbio_main_runner 207] exiting with return code 0 in 70.04 sec.