[INFO] 2025-10-02 22:10:47,101Z [pbreports.tasks.runqc_reports _pacbio_main_runner 161] Using pbcommand v2.8.8
[INFO] 2025-10-02 22:10:47,101Z [pbreports.tasks.runqc_reports _pacbio_main_runner 162] completed setting up logger with <function setup_log at 0x7f3dab0ac160>
[INFO] 2025-10-02 22:10:47,101Z [pbreports.tasks.runqc_reports _pacbio_main_runner 165] log opts {'level': 10, 'file_name': 'statistics/m84082_251001_025627_s2.pbreports.log'}
[INFO] 2025-10-02 22:10:47,101Z [pbreports.tasks.runqc_reports args_runner 238] Using pbreports v
[DEBUG] 2025-10-02 22:10:47,103Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:10:47,103Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:10:47,103Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:10:47,103Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:10:47,104Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-10-02 22:10:47,104Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,105Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,106Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,106Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,106Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,106Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,107Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,107Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,107Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,107Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,107Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,107Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,107Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,108Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,108Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,108Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,109Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,109Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,109Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,109Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,109Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,110Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,111Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,111Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,111Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,112Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,112Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,112Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,112Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,113Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,113Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:10:47,113Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-10-02 22:10:47,127Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:10:47,128Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-10-02 22:10:47,128Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-10-02 22:10:47,128Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[INFO] 2025-10-02 22:10:47,128Z [pbreports.util load_stats_if_present 147] Attempting to load run summary stats
[INFO] 2025-10-02 22:10:47,129Z [pbreports.util load_stats_if_present 152] Multiple resources found, inspecting each individually
[INFO] 2025-10-02 22:10:47,129Z [pbreports.util load_stats_if_present 159] Attempting to fall back on SupplementalResources
[INFO] 2025-10-02 22:10:47,129Z [pbreports.util load_stats_if_present 164] Found sts.xml at /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/metadata/m84082_251001_025627_s2.sts.xml
[INFO] 2025-10-02 22:10:47,141Z [pbreports.io.ccs read_zmw_metrics_from_csv 127] Loading ZMW metrics from /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.zmw_metrics.csv.gz
[INFO] 2025-10-02 22:10:54,922Z [pbreports.tasks.runqc_reports to_runqc_reports 102] Generating CCS report
[INFO] 2025-10-02 22:10:54,923Z [pbreports.io.ccs load_all_ccs_data 230] Checking dataset for supplemental CCS BAM resources
[INFO] 2025-10-02 22:10:54,923Z [pbreports.io.ccs load_all_ccs_data 236] Found unbarcoded BAM at /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/hifi_reads/m84082_251001_025627_s2.hifi_reads.unassigned.bam
[INFO] 2025-10-02 22:10:54,934Z [pbreports.io.ccs load_all_ccs_data 238] There are an additional 72277 unbarcoded reads
[DEBUG] 2025-10-02 22:10:54,935Z [pbcore.io.dataset.DataSetIO index 2021] Populating index
[DEBUG] 2025-10-02 22:10:54,935Z [pbcore.io.dataset.DataSetIO _openFiles 2149] Opening ReadSet resources
[DEBUG] 2025-10-02 22:10:59,920Z [pbcore.io.dataset.DataSetIO _openFiles 2215] Done opening resources
[DEBUG] 2025-10-02 22:11:05,271Z [pbcore.io.dataset.DataSetIO index 2024] Done populating index
[INFO] 2025-10-02 22:11:05,438Z [pbreports.io.ccs get_supplemental_report 285] Found ccs_processing report at /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.ccs_report.json
[INFO] 2025-10-02 22:11:05,451Z [pbreports.report.ccs2 make_report 605] There are 9259367 total reads in the index
[INFO] 2025-10-02 22:11:05,451Z [pbreports.io.ccs get_fail_reads_lengths_qualities 254] Checking dataset resources for fail_reads.bam
[INFO] 2025-10-02 22:11:05,451Z [pbreports.io.ccs get_fail_reads_lengths_qualities 257] Found /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/fail_reads/m84082_251001_025627_s2.fail_reads.bc2068.bam
[INFO] 2025-10-02 22:11:05,451Z [pbreports.io.ccs get_fail_reads_lengths_qualities 257] Found /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/fail_reads/m84082_251001_025627_s2.fail_reads.bc2096.bam
[INFO] 2025-10-02 22:11:05,691Z [pbreports.report.ccs2 make_report 607] Found 1253087 failed reads
[INFO] 2025-10-02 22:11:05,691Z [pbreports.report.ccs2 make_report 610] Plotting overall metrics from CCS
[INFO] 2025-10-02 22:11:06,706Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/ccs_all_readlength_hist_plot.png with dpi 100
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=16.0.
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,708Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,709Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,710Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-10-02 22:11:06,710Z [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] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0.
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,723Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-10-02 22:11:06,723Z [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] 2025-10-02 22:11:06,746Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,747Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,748Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,749Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-10-02 22:11:06,749Z [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] 2025-10-02 22:11:06,843Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/ccs_all_readlength_hist_plot_thumb.png with dpi 20
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=16.0.
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,850Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,851Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:06,852Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-10-02 22:11:06,853Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:06,853Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-10-02 22:11:06,853Z [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] 2025-10-02 22:11:08,317Z [pbreports.plot.ccs plot_base_yield 166] Total Gb: 52.00984402900001
[INFO] 2025-10-02 22:11:08,321Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/ccs_hifi_read_length_yield_plot.png with dpi 100
[INFO] 2025-10-02 22:11:08,436Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/ccs_hifi_read_length_yield_plot_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:09,973Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/ccs_combined_readlength_hist_plot.png with dpi 100
[INFO] 2025-10-02 22:11:10,125Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/ccs_combined_readlength_hist_plot_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:10,406Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/ccs_npasses_hist.png with dpi 100
[INFO] 2025-10-02 22:11:10,505Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/ccs_npasses_hist_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:10,578Z [pbreports.report.ccs2 _to_plot_groups 486] Non-zero read qualities, will generate QV plots
[INFO] 2025-10-02 22:11:11,445Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/ccs_accuracy_hist.png with dpi 100
[INFO] 2025-10-02 22:11:11,533Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/ccs_accuracy_hist_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:12,217Z [pbreports.plot.ccs plot_qlen_vs_qv 321] Truncating read lengths at 99.9% (38250)
[DEBUG] 2025-10-02 22:11:13,631Z [matplotlib.colorbar _get_ticker_locator_formatter 620] locator: <matplotlib.colorbar._ColorbarLogLocator object at 0x7f3d4fd57a60>
[DEBUG] 2025-10-02 22:11:13,631Z [matplotlib.colorbar update_ticks 665] Using auto colorbar locator <matplotlib.colorbar._ColorbarLogLocator object at 0x7f3d4fd57a60> on colorbar
[DEBUG] 2025-10-02 22:11:13,631Z [matplotlib.colorbar _add_solids_pcolormesh 794] Setting pcolormesh
[DEBUG] 2025-10-02 22:11:13,709Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,709Z [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] 2025-10-02 22:11:13,713Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,713Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,718Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,718Z [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] 2025-10-02 22:11:13,718Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,718Z [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] 2025-10-02 22:11:13,719Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=18.0.
[DEBUG] 2025-10-02 22:11:13,719Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,719Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:13,719Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,720Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:13,721Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:13,722Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-10-02 22:11:13,722Z [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] 2025-10-02 22:11:13,724Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/readlength_qv_hist2d.hexbin.png with dpi 100
[DEBUG] 2025-10-02 22:11:13,738Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,738Z [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] 2025-10-02 22:11:13,739Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,739Z [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] 2025-10-02 22:11:13,741Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,741Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,742Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,742Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,750Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,750Z [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] 2025-10-02 22:11:13,750Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,750Z [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] 2025-10-02 22:11:13,751Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,751Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,751Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,751Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,760Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,760Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,760Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,760Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,761Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,761Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,761Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,761Z [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,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,769Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,769Z [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] 2025-10-02 22:11:13,770Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,770Z [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] 2025-10-02 22:11:13,770Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,770Z [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] 2025-10-02 22:11:13,771Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,771Z [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] 2025-10-02 22:11:13,815Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,815Z [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] 2025-10-02 22:11:13,816Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,816Z [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] 2025-10-02 22:11:13,820Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,820Z [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] 2025-10-02 22:11:13,821Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,821Z [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] 2025-10-02 22:11:13,897Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/readlength_qv_hist2d.hexbin_thumb.png with dpi 20
[DEBUG] 2025-10-02 22:11:13,912Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,912Z [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] 2025-10-02 22:11:13,913Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,913Z [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] 2025-10-02 22:11:13,917Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,917Z [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] 2025-10-02 22:11:13,917Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,917Z [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] 2025-10-02 22:11:13,925Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,925Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06,
       1.e+07])
[DEBUG] 2025-10-02 22:11:13,926Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,926Z [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] 2025-10-02 22:11:13,926Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,926Z [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] 2025-10-02 22:11:13,927Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,927Z [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] 2025-10-02 22:11:13,935Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,936Z [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] 2025-10-02 22:11:13,936Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,936Z [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] 2025-10-02 22:11:13,937Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,937Z [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] 2025-10-02 22:11:13,937Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,937Z [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] 2025-10-02 22:11:13,945Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,945Z [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] 2025-10-02 22:11:13,945Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,945Z [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] 2025-10-02 22:11:13,946Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,946Z [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] 2025-10-02 22:11:13,946Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,946Z [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] 2025-10-02 22:11:13,978Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,978Z [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] 2025-10-02 22:11:13,979Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,979Z [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] 2025-10-02 22:11:13,984Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,984Z [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] 2025-10-02 22:11:13,984Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 719788.0
[DEBUG] 2025-10-02 22:11:13,984Z [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] 2025-10-02 22:11:26,482Z [pbreports.report.ccs2 _get_frac_q30_bases 163] Extracting Q30 yield from ccs_processing report
[INFO] 2025-10-02 22:11:26,482Z [pbreports.report.ccs2 _get_missing_adapters 151] Extracting percent missing adapters from ccs_processing report
[DEBUG] 2025-10-02 22:11:26,483Z [pbcore.io.dataset.DataSetIO updateCounts 2664] Updating counts
[INFO] 2025-10-02 22:11:28,331Z [pbreports.io.ccs get_supplemental_report 285] Found 5mc_report report at /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.hifi_reads.5mc_report.json
[INFO] 2025-10-02 22:11:28,331Z [pbreports.io.ccs get_supplemental_report 285] Found 6ma_report report at /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.hifi_reads.6ma_report.json
[INFO] 2025-10-02 22:11:28,379Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/5mc_detections_hist.png with dpi 100
[INFO] 2025-10-02 22:11:28,472Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/5mc_detections_hist_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:28,591Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/6ma_detections_hist.png with dpi 100
[INFO] 2025-10-02 22:11:28,690Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/6ma_detections_hist_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:28,767Z [pbreports.tasks.runqc_reports to_runqc_reports 122] Found sts.xml, generating RunQC reports
[INFO] 2025-10-02 22:11:28,767Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running to_report_impl --> loading.report.json
[INFO] 2025-10-02 22:11:28,767Z [pbreports.report.loading to_report_impl 47] Getting loading metrics for AS-306_Goetz-Pool3_FA253-FA092_Amplicon_300pM-Cell2 (all samples)
[INFO] 2025-10-02 22:11:28,767Z [pbreports.report.loading to_report_impl 60] Productivity: P0=29.277 P1=69.896 P2=0.827
[INFO] 2025-10-02 22:11:28,767Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running _to_raw_data_report --> raw_data.report.json
[INFO] 2025-10-02 22:11:28,767Z [pbreports.report.raw_data to_report_impl 436] Unique molecular yield from sts.xml: 139333615616
[INFO] 2025-10-02 22:11:28,767Z [pbreports.report.raw_data to_report_impl 438] Processing CCS dataset
[INFO] 2025-10-02 22:11:34,367Z [pbreports.report.raw_data to_report_impl 448] Generating plots
[INFO] 2025-10-02 22:11:37,522Z [pbreports.sts_xml rescale_dists 274] Will truncate at 59500
[INFO] 2025-10-02 22:11:40,725Z [pbreports.sts_xml rescale_dists 291] Ignoring limit 340462
[INFO] 2025-10-02 22:11:40,789Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/readLenDist0.png with dpi 100
[INFO] 2025-10-02 22:11:40,887Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/readLenDist0_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:40,958Z [pbreports.report.raw_data to_hexbin_plot 324] Plotting insert read lengths versus polymerase read lengths
[WARNING] 2025-10-02 22:11:41,102Z [pbreports.plot.runqc plot_insert_length_vs_read_length 152] Truncating 1 processed read lengths to 100
[DEBUG] 2025-10-02 22:11:41,507Z [pbreports.plot.runqc plot_insert_length_vs_read_length 158] Creating plot
[DEBUG] 2025-10-02 22:11:43,802Z [matplotlib.colorbar _get_ticker_locator_formatter 620] locator: <matplotlib.colorbar._ColorbarLogLocator object at 0x7f3d94717730>
[DEBUG] 2025-10-02 22:11:43,802Z [matplotlib.colorbar update_ticks 665] Using auto colorbar locator <matplotlib.colorbar._ColorbarLogLocator object at 0x7f3d94717730> on colorbar
[DEBUG] 2025-10-02 22:11:43,803Z [matplotlib.colorbar _add_solids_pcolormesh 794] Setting pcolormesh
[INFO] 2025-10-02 22:11:43,811Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/hexbin_length_plot.png with dpi 100
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1329] findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=15.686274509803921.
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,814Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLightIt.otf) italic normal 200 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-LightIt.otf) italic normal 300 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-SemiboldIt.otf) italic normal 600 normal>) = 11.24
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-ExtraLight.ttf) normal normal 200 normal>) = 0.24
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Semibold.otf) normal normal 600 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,815Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-MediumIt.otf) italic normal 500 normal>) = 11.145
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Bold.otf) normal normal 700 normal>) = 10.335
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BlackIt.otf) italic normal 900 normal>) = 11.525
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Regular.otf) normal normal 400 normal>) = 10.05
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-It.otf) italic normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Bold.ttf) normal normal 700 condensed>) = 0.5349999999999999
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-Oblique.ttf) oblique normal 400 condensed>) = 1.25
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-ExtraLight.otf) normal normal 200 normal>) = 10.24
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Light.otf) normal normal 300 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Black.otf) normal normal 900 normal>) = 10.525
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-BoldIt.otf) italic normal 700 normal>) = 11.335
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed-BoldOblique.ttf) oblique normal 700 condensed>) = 1.535
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'Source Code Pro' (SourceCodePro-Medium.otf) normal normal 500 normal>) = 10.145
[DEBUG] 2025-10-02 22:11:43,816Z [matplotlib.font_manager _findfont_cached 1341] findfont: score(<Font 'DejaVu Sans' (DejaVuSansCondensed.ttf) normal normal 400 condensed>) = 0.25
[DEBUG] 2025-10-02 22:11:43,816Z [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] 2025-10-02 22:11:43,834Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,834Z [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] 2025-10-02 22:11:43,837Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,837Z [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] 2025-10-02 22:11:43,840Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,840Z [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] 2025-10-02 22:11:43,841Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,841Z [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] 2025-10-02 22:11:43,848Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,849Z [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] 2025-10-02 22:11:43,849Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,849Z [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] 2025-10-02 22:11:43,849Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,850Z [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] 2025-10-02 22:11:43,850Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,850Z [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] 2025-10-02 22:11:43,858Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,858Z [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] 2025-10-02 22:11:43,858Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,858Z [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] 2025-10-02 22:11:43,859Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,859Z [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] 2025-10-02 22:11:43,859Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,859Z [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] 2025-10-02 22:11:43,866Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,866Z [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] 2025-10-02 22:11:43,867Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,867Z [matplotlib.ticker tick_values 2529] ticklocs array([1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])
[DEBUG] 2025-10-02 22:11:43,867Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,868Z [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] 2025-10-02 22:11:43,868Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,868Z [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] 2025-10-02 22:11:43,910Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,910Z [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] 2025-10-02 22:11:43,911Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,911Z [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] 2025-10-02 22:11:43,915Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,915Z [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] 2025-10-02 22:11:43,915Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:43,915Z [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] 2025-10-02 22:11:43,983Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/hexbin_length_plot_thumb.png with dpi 20
[DEBUG] 2025-10-02 22:11:44,000Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,000Z [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] 2025-10-02 22:11:44,000Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,000Z [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] 2025-10-02 22:11:44,003Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,003Z [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] 2025-10-02 22:11:44,004Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,004Z [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] 2025-10-02 22:11:44,012Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,012Z [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] 2025-10-02 22:11:44,012Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,012Z [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] 2025-10-02 22:11:44,013Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,013Z [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] 2025-10-02 22:11:44,013Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,013Z [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] 2025-10-02 22:11:44,021Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,021Z [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] 2025-10-02 22:11:44,022Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,022Z [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] 2025-10-02 22:11:44,022Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,022Z [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] 2025-10-02 22:11:44,023Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,023Z [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] 2025-10-02 22:11:44,030Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,030Z [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] 2025-10-02 22:11:44,030Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,030Z [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] 2025-10-02 22:11:44,031Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,031Z [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] 2025-10-02 22:11:44,031Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,031Z [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] 2025-10-02 22:11:44,061Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,061Z [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] 2025-10-02 22:11:44,062Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,062Z [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] 2025-10-02 22:11:44,065Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,065Z [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] 2025-10-02 22:11:44,066Z [matplotlib.ticker tick_values 2471] vmin 1.0 vmax 79853.0
[DEBUG] 2025-10-02 22:11:44,066Z [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] 2025-10-02 22:11:44,076Z [pbreports.report.raw_data to_base_yield_plot 342] Plotting base yield as a function of read length
[DEBUG] 2025-10-02 22:11:44,076Z [pbreports.plot.runqc plot_base_yield_histogram 211] Computing N50 and N95
[DEBUG] 2025-10-02 22:11:45,665Z [pbreports.plot.runqc plot_base_yield_histogram 214] Generating bin data
[DEBUG] 2025-10-02 22:11:48,349Z [pbreports.plot.runqc plot_base_yield_histogram 216] Initializing plot
[DEBUG] 2025-10-02 22:11:48,401Z [pbreports.plot.runqc plot_base_yield_histogram 224] Generating patches
[INFO] 2025-10-02 22:11:48,406Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/base_yield_plot.png with dpi 100
[INFO] 2025-10-02 22:11:48,497Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/base_yield_plot_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:48,553Z [pbreports.tasks.runqc_reports _make_runqc_reports 79] Running to_report_impl --> control.report.json
[INFO] 2025-10-02 22:11:48,601Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/readlength_plot.png with dpi 100
[INFO] 2025-10-02 22:11:48,699Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/readlength_plot_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:48,807Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/concordance_plot.png with dpi 100
[INFO] 2025-10-02 22:11:48,921Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/concordance_plot_thumb.png with dpi 20
[INFO] 2025-10-02 22:11:49,004Z [pbreports.tasks.runqc_reports to_runqc_reports 126] Wrote 5 reports
[DEBUG] 2025-10-02 22:11:49,006Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:11:49,006Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:11:49,006Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:11:49,006Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:11:49,006Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-10-02 22:11:49,006Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,007Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,007Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,007Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,007Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,008Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,008Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,008Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,008Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,008Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,008Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,009Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,009Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,009Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,009Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,009Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,010Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,010Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,010Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,010Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,010Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,011Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,011Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,011Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,011Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,011Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,011Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,011Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,012Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,012Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,012Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:11:49,012Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-10-02 22:11:49,025Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:11:49,025Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-10-02 22:11:49,025Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-10-02 22:11:49,026Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[DEBUG] 2025-10-02 22:11:49,026Z [pbcore.io.dataset.DataSetIO _openFiles 2149] Opening ReadSet resources
[DEBUG] 2025-10-02 22:11:54,168Z [pbcore.io.dataset.DataSetIO _openFiles 2215] Done opening resources
[INFO] 2025-10-02 22:11:54,168Z [pbreports.report.barcode to_report 393] Loading barcode IDs
[INFO] 2025-10-02 22:11:54,168Z [pbreports.io.barcode load_barcodes_from_ccs 96] Found barcodes fasta at /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/metadata/m84082_251001_025627_s2.barcodes.fasta
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:11:54,169Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[INFO] 2025-10-02 22:11:54,170Z [pbreports.io.barcode load_barcodes_from_ccs 109] Found barcodes UUID 'fcbcb668-038f-d0e5-2a2b-1007ec864c56'
[WARNING] 2025-10-02 22:11:54,170Z [pbreports.io.barcode load_barcodes_from_ccs 114] Couldn't find original barcode UUID for report linking.
[INFO] 2025-10-02 22:11:54,170Z [pbreports.report.barcode to_report 397] Extracting data arrays from demultiplexed BAM files...
[INFO] 2025-10-02 22:11:54,271Z [pbreports.report.barcode to_report 399] Finding barcode groups
[INFO] 2025-10-02 22:11:54,279Z [pbreports.io.barcode get_unbarcoded_reads 128] Found unbarcoded reads at /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/hifi_reads/m84082_251001_025627_s2.hifi_reads.unassigned.bam
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:11:54,280Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:11:54,281Z [pbcore.io.dataset.DataSetIO _openFiles 2149] Opening ReadSet resources
[DEBUG] 2025-10-02 22:11:54,291Z [pbcore.io.dataset.DataSetIO _openFiles 2215] Done opening resources
[DEBUG] 2025-10-02 22:11:54,291Z [pbcore.io.dataset.DataSetIO updateCounts 2664] Updating counts
[DEBUG] 2025-10-02 22:11:54,291Z [pbcore.io.dataset.DataSetIO index 2021] Populating index
[DEBUG] 2025-10-02 22:11:54,305Z [pbcore.io.dataset.DataSetIO index 2024] Done populating index
[DEBUG] 2025-10-02 22:11:54,317Z [pbcore.io.dataset.DataSetIO _openFiles 4144] Opening BarcodeSet resources
[DEBUG] 2025-10-02 22:11:54,317Z [pbcore.io.dataset.DataSetIO _openFile 4165] Companion reference index (.fai) missing. Use "samtools faidx <refname>" to generate one.
[DEBUG] 2025-10-02 22:11:54,317Z [pbcore.io.dataset.DataSetIO _openFiles 4152] Done opening BarcodeSet resources
[INFO] 2025-10-02 22:11:54,317Z [pbreports.report.barcode to_report 405] Extracting data arrays from unbarcoded BAM file
[INFO] 2025-10-02 22:11:54,318Z [pbreports.report.barcode to_attributes 100] Computing summary metrics...
[INFO] 2025-10-02 22:11:54,332Z [pbreports.report.barcode to_report 413] Collecting polymerase read length data
[INFO] 2025-10-02 22:11:54,332Z [pbreports.io.ccs read_zmw_metrics_from_csv 127] Loading ZMW metrics from /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.zmw_metrics.csv.gz
[INFO] 2025-10-02 22:12:40,128Z [pbreports.report.barcode to_per_barcode_table 160] Computing per-sample metrics...
[INFO] 2025-10-02 22:12:40,259Z [pbreports.report.barcode to_plotgroups 315] Generating barcode quality score plots...
[INFO] 2025-10-02 22:12:40,458Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/bq_histogram.png with dpi 100
[INFO] 2025-10-02 22:12:40,560Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/bq_histogram_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:40,648Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/nreads.png with dpi 100
[INFO] 2025-10-02 22:12:40,727Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/nreads_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:40,770Z [pbreports.report.barcode to_plotgroups 330] Generating 1D histograms...
[INFO] 2025-10-02 22:12:40,790Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/nreads_histogram.png with dpi 100
[INFO] 2025-10-02 22:12:40,850Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/nreads_histogram_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:40,984Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/readlength_histogram.png with dpi 100
[INFO] 2025-10-02 22:12:41,091Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/readlength_histogram_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:41,167Z [pbreports.report.barcode to_plotgroups 347] Generating 2D histograms...
[INFO] 2025-10-02 22:12:41,167Z [pbreports.report.barcode to_plotgroups 348] Creating 2D histogram of read lengths
[INFO] 2025-10-02 22:12:44,195Z [pbreports.report.barcode to_plotgroups 355] Creating 2D histogram of barcode quality scores
[INFO] 2025-10-02 22:12:46,341Z [pbreports.report.barcode to_child_dataset_ccs_reports 267] Generating reports for child datasets
[INFO] 2025-10-02 22:12:46,342Z [pbreports.report.barcode to_child_dataset_ccs_reports 287] Running with 48 processes
[INFO] 2025-10-02 22:12:46,827Z [pbreports.report.barcode _process_one 247] Generating CCS Analysis report for barcode bc2068--bc2068
[INFO] 2025-10-02 22:12:46,832Z [pbreports.report.barcode _process_one 247] Generating CCS Analysis report for barcode bc2096--bc2096
[INFO] 2025-10-02 22:12:51,332Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_all_readlength_hist_plot.png with dpi 100
[INFO] 2025-10-02 22:12:51,438Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_all_readlength_hist_plot_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:52,041Z [pbreports.plot.ccs plot_base_yield 166] Total Gb: 13.887000170999993
[INFO] 2025-10-02 22:12:52,044Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_hifi_read_length_yield_plot.png with dpi 100
[INFO] 2025-10-02 22:12:52,176Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_hifi_read_length_yield_plot_thumb.png with dpi 20
[WARNING] 2025-10-02 22:12:52,267Z [pbreports.report.ccs2 _to_plot_groups 483] numPasses requires ZMW metrics JSON, skipping this plot
[INFO] 2025-10-02 22:12:52,268Z [pbreports.report.ccs2 _to_plot_groups 486] Non-zero read qualities, will generate QV plots
[INFO] 2025-10-02 22:12:52,523Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_accuracy_hist.png with dpi 100
[INFO] 2025-10-02 22:12:52,607Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_accuracy_hist_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:52,672Z [pbreports.report.barcode _process_one 257] Writing sub-report to statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_demux_stats.report.json
[INFO] 2025-10-02 22:12:55,419Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_all_readlength_hist_plot.png with dpi 100
[INFO] 2025-10-02 22:12:55,538Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_all_readlength_hist_plot_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:56,526Z [pbreports.plot.ccs plot_base_yield 166] Total Gb: 37.377010531000046
[INFO] 2025-10-02 22:12:56,529Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_hifi_read_length_yield_plot.png with dpi 100
[INFO] 2025-10-02 22:12:56,650Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_hifi_read_length_yield_plot_thumb.png with dpi 20
[WARNING] 2025-10-02 22:12:56,737Z [pbreports.report.ccs2 _to_plot_groups 483] numPasses requires ZMW metrics JSON, skipping this plot
[INFO] 2025-10-02 22:12:56,739Z [pbreports.report.ccs2 _to_plot_groups 486] Non-zero read qualities, will generate QV plots
[INFO] 2025-10-02 22:12:57,177Z [pbreports.plot.helper save_figure_with_thumbnail 117] Saving figure statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_accuracy_hist.png with dpi 100
[INFO] 2025-10-02 22:12:57,260Z [pbreports.plot.helper save_figure_with_thumbnail 119] Saving thumbnail statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_accuracy_hist_thumb.png with dpi 20
[INFO] 2025-10-02 22:12:57,325Z [pbreports.report.barcode _process_one 257] Writing sub-report to statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_demux_stats.report.json
[INFO] 2025-10-02 22:12:57,376Z [pbreports.report.barcode to_child_dataset_ccs_reports 297] Saving datastore of 2 child dataset reports to child_reports.datastore.json
[INFO] 2025-10-02 22:12:57,377Z [pbreports.io.barcode save_demuxed_dataset_reports 86] Wrote datastore to child_reports.datastore.json
[INFO] 2025-10-02 22:12:57,380Z [pbreports.tasks.runqc_reports args_runner 262] Extracting services models from input XML(s)...
[DEBUG] 2025-10-02 22:12:57,381Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:12:57,381Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:12:57,381Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:12:57,381Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:12:57,381Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-10-02 22:12:57,382Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,382Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,382Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,383Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,383Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,383Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,383Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,384Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,384Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,384Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,384Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,384Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,384Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,384Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,385Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,385Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,385Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,385Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,385Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,385Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,386Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,386Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,386Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,387Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,387Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,387Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,387Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,387Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,387Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,388Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,388Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,388Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-10-02 22:12:57,402Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:12:57,402Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-10-02 22:12:57,403Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:12:57,403Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:12:57,403Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-10-02 22:12:57,404Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:12:57,405Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-10-02 22:12:57,405Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:57,406Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-10-02 22:12:57,407Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:12:57,407Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[INFO] 2025-10-02 22:12:57,407Z [pbreports.tasks.runqc_reports args_runner 266] Report PDF output requested
[INFO] 2025-10-02 22:12:57,515Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report ccs2
[INFO] 2025-10-02 22:12:57,516Z [pbreports.reports2pdf process_report 141] Loading spec for report ccs2
[DEBUG] 2025-10-02 22:12:57,517Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,517Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,517Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,517Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 38150
[DEBUG] 2025-10-02 22:12:57,517Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 34412
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 41397
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 40088
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,518Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 41220
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[INFO] 2025-10-02 22:12:57,519Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report methylation
[INFO] 2025-10-02 22:12:57,519Z [pbreports.reports2pdf process_report 141] Loading spec for report methylation
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,519Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 22927
[DEBUG] 2025-10-02 22:12:57,520Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,520Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,520Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,520Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 24754
[INFO] 2025-10-02 22:12:57,520Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report barcode
[INFO] 2025-10-02 22:12:57,520Z [pbreports.reports2pdf process_report 141] Loading spec for report barcode
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 54160
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 30612
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,521Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 29303
[DEBUG] 2025-10-02 22:12:57,522Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,522Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,522Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,522Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 46787
[WARNING] 2025-10-02 22:12:57,522Z [pbreports.reports2pdf process_report 193] Skipping non-PNG plot 'Read Length Distribution By Barcode'
[WARNING] 2025-10-02 22:12:57,522Z [pbreports.reports2pdf process_report 193] Skipping non-PNG plot 'Barcode Quality Distribution By Barcode'
[INFO] 2025-10-02 22:12:57,522Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report loading_xml_report
[INFO] 2025-10-02 22:12:57,522Z [pbreports.reports2pdf process_report 141] Loading spec for report loading_xml_report
[INFO] 2025-10-02 22:12:57,522Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report raw_data_report
[INFO] 2025-10-02 22:12:57,522Z [pbreports.reports2pdf process_report 141] Loading spec for report raw_data_report
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 35785
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,523Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 59292
[INFO] 2025-10-02 22:12:57,523Z [pbreports.reports2pdf make_dataset_pdf_report 262] Generating content for report control
[INFO] 2025-10-02 22:12:57,523Z [pbreports.reports2pdf process_report 141] Loading spec for report control
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 30659
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,524Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 32072
[DEBUG] 2025-10-02 22:12:57,526Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,526Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,535Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,535Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,538Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,538Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,541Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,542Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,544Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,544Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,546Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,546Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,546Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,546Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 38150
[DEBUG] 2025-10-02 22:12:57,587Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,587Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,589Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,589Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,589Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,589Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 34412
[DEBUG] 2025-10-02 22:12:57,624Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,624Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,626Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,626Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,626Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,626Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 41397
[DEBUG] 2025-10-02 22:12:57,666Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,666Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,667Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,667Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,667Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,667Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 40088
[DEBUG] 2025-10-02 22:12:57,705Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,705Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,706Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,706Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,706Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,706Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 41220
[DEBUG] 2025-10-02 22:12:57,745Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,745Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,747Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,747Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,747Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,747Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-10-02 22:12:57,929Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,929Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,932Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,932Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,933Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,933Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,933Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,933Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 22927
[DEBUG] 2025-10-02 22:12:57,961Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,961Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,962Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,962Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,962Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,962Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 24754
[DEBUG] 2025-10-02 22:12:57,991Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,991Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,994Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,994Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,997Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,997Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:57,998Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:57,998Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:57,998Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:57,998Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 54160
[DEBUG] 2025-10-02 22:12:58,038Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,039Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,040Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,040Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,040Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,040Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 30612
[DEBUG] 2025-10-02 22:12:58,074Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,074Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,075Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,075Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,075Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,075Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 29303
[DEBUG] 2025-10-02 22:12:58,110Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,110Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,112Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,112Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,112Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,112Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 46787
[DEBUG] 2025-10-02 22:12:58,155Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,155Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,158Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,158Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,160Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,160Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,162Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,162Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,162Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,162Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 35785
[DEBUG] 2025-10-02 22:12:58,200Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,200Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,201Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,201Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,201Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,201Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 65536
[DEBUG] 2025-10-02 22:12:58,354Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,354Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,356Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,356Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,356Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,356Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 59292
[DEBUG] 2025-10-02 22:12:58,400Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,400Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,403Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,403Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,404Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,404Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,404Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,404Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 30659
[DEBUG] 2025-10-02 22:12:58,439Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,439Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 41 3533
[DEBUG] 2025-10-02 22:12:58,441Z [PIL.PngImagePlugin call 197] STREAM b'IHDR' 16 13
[DEBUG] 2025-10-02 22:12:58,441Z [PIL.PngImagePlugin call 197] STREAM b'tEXt' 41 57
[DEBUG] 2025-10-02 22:12:58,441Z [PIL.PngImagePlugin call 197] STREAM b'pHYs' 110 9
[DEBUG] 2025-10-02 22:12:58,441Z [PIL.PngImagePlugin call 197] STREAM b'IDAT' 131 32072
[INFO] 2025-10-02 22:12:58,532Z [pbreports.reports2pdf make_dataset_pdf_report 276] Wrote pdf to /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.report.pdf
[INFO] 2025-10-02 22:12:58,532Z [pbreports.tasks.runqc_reports args_runner 278] Zipfile output requested
[INFO] 2025-10-02 22:12:58,532Z [pbreports.tasks.runqc_reports write_reports_zip_file 139] Writing 6 reports with plots to /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.reports.zip
[INFO] 2025-10-02 22:12:58,533Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_all_readlength_hist_plot.png
[INFO] 2025-10-02 22:12:58,535Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_all_readlength_hist_plot_thumb.png
[INFO] 2025-10-02 22:12:58,535Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_hifi_read_length_yield_plot.png
[INFO] 2025-10-02 22:12:58,536Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_hifi_read_length_yield_plot_thumb.png
[INFO] 2025-10-02 22:12:58,536Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_combined_readlength_hist_plot.png
[INFO] 2025-10-02 22:12:58,538Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_combined_readlength_hist_plot_thumb.png
[INFO] 2025-10-02 22:12:58,538Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_npasses_hist.png
[INFO] 2025-10-02 22:12:58,539Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_npasses_hist_thumb.png
[INFO] 2025-10-02 22:12:58,539Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_accuracy_hist.png
[INFO] 2025-10-02 22:12:58,541Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/ccs_accuracy_hist_thumb.png
[INFO] 2025-10-02 22:12:58,541Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readlength_qv_hist2d.hexbin.png
[INFO] 2025-10-02 22:12:58,553Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readlength_qv_hist2d.hexbin_thumb.png
[INFO] 2025-10-02 22:12:58,554Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/5mc_detections_hist.png
[INFO] 2025-10-02 22:12:58,555Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/5mc_detections_hist_thumb.png
[INFO] 2025-10-02 22:12:58,555Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/6ma_detections_hist.png
[INFO] 2025-10-02 22:12:58,556Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/6ma_detections_hist_thumb.png
[INFO] 2025-10-02 22:12:58,557Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readLenDist0.png
[INFO] 2025-10-02 22:12:58,558Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readLenDist0_thumb.png
[INFO] 2025-10-02 22:12:58,558Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/hexbin_length_plot.png
[INFO] 2025-10-02 22:12:58,567Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/hexbin_length_plot_thumb.png
[INFO] 2025-10-02 22:12:58,568Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/base_yield_plot.png
[INFO] 2025-10-02 22:12:58,570Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/base_yield_plot_thumb.png
[INFO] 2025-10-02 22:12:58,571Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readlength_plot.png
[INFO] 2025-10-02 22:12:58,572Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readlength_plot_thumb.png
[INFO] 2025-10-02 22:12:58,572Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/concordance_plot.png
[INFO] 2025-10-02 22:12:58,573Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/concordance_plot_thumb.png
[INFO] 2025-10-02 22:12:58,574Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/nreads.png
[INFO] 2025-10-02 22:12:58,575Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/nreads_thumb.png
[INFO] 2025-10-02 22:12:58,576Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/nreads_histogram.png
[INFO] 2025-10-02 22:12:58,577Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/nreads_histogram_thumb.png
[INFO] 2025-10-02 22:12:58,577Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readlength_histogram.png
[INFO] 2025-10-02 22:12:58,578Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/readlength_histogram_thumb.png
[INFO] 2025-10-02 22:12:58,578Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/bq_histogram.png
[INFO] 2025-10-02 22:12:58,580Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/bq_histogram_thumb.png
[INFO] 2025-10-02 22:12:58,580Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/binned_readlength.json.gz
[INFO] 2025-10-02 22:12:58,580Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image statistics/m84082_251001_025627_s2.tmp/binned_bcqual.json.gz
[INFO] 2025-10-02 22:12:58,581Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_all_readlength_hist_plot.png
[INFO] 2025-10-02 22:12:58,582Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_all_readlength_hist_plot_thumb.png
[INFO] 2025-10-02 22:12:58,582Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_hifi_read_length_yield_plot.png
[INFO] 2025-10-02 22:12:58,583Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_hifi_read_length_yield_plot_thumb.png
[INFO] 2025-10-02 22:12:58,584Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_accuracy_hist.png
[INFO] 2025-10-02 22:12:58,585Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/5e0567ef-9e1c-48d1-918a-e174f28b6201/ccs_accuracy_hist_thumb.png
[INFO] 2025-10-02 22:12:58,585Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_all_readlength_hist_plot.png
[INFO] 2025-10-02 22:12:58,586Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_all_readlength_hist_plot_thumb.png
[INFO] 2025-10-02 22:12:58,587Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_hifi_read_length_yield_plot.png
[INFO] 2025-10-02 22:12:58,588Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_hifi_read_length_yield_plot_thumb.png
[INFO] 2025-10-02 22:12:58,588Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_accuracy_hist.png
[INFO] 2025-10-02 22:12:58,589Z [pbreports.tasks.runqc_reports _write_plot 144] Saving plot image /data/nrtb/0/m84082_251001_025627_s2/pb_internal/analysis/statistics/m84082_251001_025627_s2.tmp/child_reports/08e48135-634e-4eaf-84c3-6b0ceee8a776/ccs_accuracy_hist_thumb.png
[INFO] 2025-10-02 22:12:58,589Z [pbreports.tasks.runqc_reports write_reports_zip_file 179] Adding PDF report m84082_251001_025627_s2.report.pdf to zip
[INFO] 2025-10-02 22:12:58,634Z [pbreports.tasks.runqc_reports write_reports_zip_file 182] Compressed reports are 2417 KB
[DEBUG] 2025-10-02 22:12:58,635Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:12:58,635Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:12:58,635Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:12:58,636Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:12:58,636Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1301] Making paths absolute...
[DEBUG] 2025-10-02 22:12:58,636Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,636Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,637Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,637Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,637Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,638Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,639Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,639Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,639Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,639Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,639Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,640Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,640Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,640Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,640Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,641Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,641Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,641Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,641Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,641Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,641Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,641Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,642Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,642Z [pbcore.io.dataset.DataSetIO checkAndResolve 313] Unable to assume path is already absolute
[DEBUG] 2025-10-02 22:12:58,642Z [pbcore.io.dataset.DataSetIO makePathsAbsolute 1304] Done making paths absolute
[DEBUG] 2025-10-02 22:12:58,655Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1364] Updating metatypes...
[DEBUG] 2025-10-02 22:12:58,656Z [pbcore.io.dataset.DataSetIO _populateMetaTypes 1366] Done updating metatypes
[DEBUG] 2025-10-02 22:12:58,656Z [pbcore.io.dataset.DataSetIO __init__ 454] Checking that the files exist...
[DEBUG] 2025-10-02 22:12:58,657Z [pbcore.io.dataset.DataSetIO __init__ 456] Done checking that the files exist
[INFO] 2025-10-02 22:12:58,657Z [pbreports.tasks.runqc_reports update_dataset_with_zip_resource 207] Updating dataset 'AS-306_Goetz-Pool3_FA253-FA092_Amplicon_300pM-Cell2 (all samples)' (UUID: db0f4407-9c8a-4ad7-a9a4-4929b50de503) with supplemental report resource(s)
[DEBUG] 2025-10-02 22:12:58,657Z [pbcore.io.dataset.DataSetIO makePathsRelative 1315] Making paths relative
[DEBUG] 2025-10-02 22:12:58,660Z [pbcore.io.dataset.DataSetIO write 1141] Writing DataSet...
[DEBUG] 2025-10-02 22:12:58,660Z [pbcore.io.dataset.DataSetIO write 1160] Serializing XML...
[DEBUG] 2025-10-02 22:12:58,660Z [pbcore.io.dataset.DataSetWriter toXml 31] Making elementtree...
[DEBUG] 2025-10-02 22:12:58,660Z [pbcore.io.dataset.DataSetWriter toXml 33] Done making ElementTree...
[DEBUG] 2025-10-02 22:12:58,660Z [pbcore.io.dataset.DataSetWriter toXml 34] Converting ElementTree to string...
[DEBUG] 2025-10-02 22:12:58,662Z [pbcore.io.dataset.DataSetWriter toXml 36] Done converting ElementTree to string
[DEBUG] 2025-10-02 22:12:58,662Z [pbcore.io.dataset.DataSetIO write 1162] Done serializing XML
[DEBUG] 2025-10-02 22:12:58,662Z [pbcore.io.dataset.DataSetIO write 1165] Making pretty...
[DEBUG] 2025-10-02 22:12:58,667Z [pbcore.io.dataset.DataSetIO write 1168] Done making pretty...
[DEBUG] 2025-10-02 22:12:58,667Z [pbcore.io.dataset.DataSetIO write 1173] Validating...
[DEBUG] 2025-10-02 22:12:58,668Z [pbcore.io.dataset.DataSetIO write 1181] Done validating
[DEBUG] 2025-10-02 22:12:58,669Z [pbcore.io.dataset.DataSetIO write 1193] Writing...
[DEBUG] 2025-10-02 22:12:58,669Z [pbcore.io.dataset.DataSetIO write 1196] Done writing
[DEBUG] 2025-10-02 22:12:58,669Z [pbcore.io.dataset.DataSetIO write 1201] Done writing DataSet
[INFO] 2025-10-02 22:12:58,669Z [pbreports.tasks.runqc_reports update_dataset_with_zip_resource 212] Wrote updated dataset to pb_formats/m84082_251001_025627_s2.hifi_reads.consensusreadset.xml
[INFO] 2025-10-02 22:12:58,669Z [pbreports.tasks.runqc_reports _pacbio_main_runner 206] Max RSS (kB): 4103708
[INFO] 2025-10-02 22:12:58,669Z [pbreports.tasks.runqc_reports _pacbio_main_runner 207] exiting with return code 0 in 131.57 sec.