diff options
Diffstat (limited to 'notify/output-bmk-results.log')
| -rw-r--r-- | notify/output-bmk-results.log | 726 |
1 files changed, 212 insertions, 514 deletions
diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log index 62a732f..e89da20 100644 --- a/notify/output-bmk-results.log +++ b/notify/output-bmk-results.log @@ -103,126 +103,21 @@ output-bmk-results.py(22): self.outf = open(filename, mode) output-bmk-results.py(23): self.csvwriter = csv.writer(self.outf) output-bmk-results.py(258): print(results_df) benchmark symbol ... status_x status_y -0 500.perlbench_r perlbench_r_base.default ... failed-to-run failed-to-run -1 502.gcc_r cpugcc_r_base.default ... failed-to-run failed-to-run -2 505.mcf_r mcf_r_base.default ... success -1 -8 508.namd_r namd_r_base.default ... failed-to-run -1 -9 508.namd_r namd_r_base.default ... failed-to-run failed-to-run -10 510.parest_r parest_r_base.default ... failed-to-run failed-to-run -11 511.povray_r povray_r_base.default ... failed-to-run failed-to-run -12 519.lbm_r lbm_r_base.default ... failed-to-run -1 -13 519.lbm_r lbm_r_base.default ... failed-to-run failed-to-run -15 520.omnetpp_r omnetpp_r_base.default ... failed-to-run failed-to-run -16 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run -17 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run -20 525.x264_r x264_r_base.default ... failed-to-run failed-to-run -21 526.blender_r blender_r_base.default ... failed-to-run failed-to-run -22 531.deepsjeng_r deepsjeng_r_base.default ... success success -29 538.imagick_r imagick_r_base.default ... failed-to-run failed-to-run -30 541.leela_r leela_r_base.default ... failed-to-run failed-to-run -31 541.leela_r leela_r_base.default ... failed-to-run failed-to-run -36 544.nab_r nab_r_base.default ... failed-to-run failed-to-run -37 557.xz_r xz_r_base.default ... success success +0 505.mcf_r mcf_r_base.default ... -1 success +7 508.namd_r namd_r_base.default ... -1 failed-to-run +8 519.lbm_r lbm_r_base.default ... -1 -1 +10 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run +11 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run +14 525.x264_r x264_r_base.default ... failed-to-run failed-to-run +15 526.blender_r blender_r_base.default ... failed-to-run failed-to-run +16 531.deepsjeng_r deepsjeng_r_base.default ... success success +23 538.imagick_r imagick_r_base.default ... failed-to-run failed-to-run +24 541.leela_r leela_r_base.default ... failed-to-run failed-to-run +25 541.leela_r leela_r_base.default ... failed-to-run failed-to-run +30 544.nab_r nab_r_base.default ... failed-to-run failed-to-run +31 557.xz_r xz_r_base.default ... success success -[20 rows x 20 columns] -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; +[13 rows x 20 columns] output-bmk-results.py(261): for index, row in results_df.iterrows(): output-bmk-results.py(263): classif, short_diag = get_status_diag(row) --- modulename: output-bmk-results, funcname: get_status_diag @@ -423,126 +318,21 @@ output-bmk-results.py(22): self.outf = open(filename, mode) output-bmk-results.py(23): self.csvwriter = csv.writer(self.outf) output-bmk-results.py(258): print(results_df) benchmark symbol ... status_x status_y -0 500.perlbench_r perlbench_r_base.default ... failed-to-run failed-to-run -1 502.gcc_r cpugcc_r_base.default ... failed-to-run failed-to-run -2 505.mcf_r mcf_r_base.default ... success -1 -8 508.namd_r namd_r_base.default ... failed-to-run -1 -9 508.namd_r namd_r_base.default ... failed-to-run failed-to-run -10 510.parest_r parest_r_base.default ... failed-to-run failed-to-run -11 511.povray_r povray_r_base.default ... failed-to-run failed-to-run -12 519.lbm_r lbm_r_base.default ... failed-to-run -1 -13 519.lbm_r lbm_r_base.default ... failed-to-run failed-to-run -15 520.omnetpp_r omnetpp_r_base.default ... failed-to-run failed-to-run -16 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run -17 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run -20 525.x264_r x264_r_base.default ... failed-to-run failed-to-run -21 526.blender_r blender_r_base.default ... failed-to-run failed-to-run -22 531.deepsjeng_r deepsjeng_r_base.default ... success success -29 538.imagick_r imagick_r_base.default ... failed-to-run failed-to-run -30 541.leela_r leela_r_base.default ... failed-to-run failed-to-run -31 541.leela_r leela_r_base.default ... failed-to-run failed-to-run -36 544.nab_r nab_r_base.default ... failed-to-run failed-to-run -37 557.xz_r xz_r_base.default ... success success +0 505.mcf_r mcf_r_base.default ... -1 success +7 508.namd_r namd_r_base.default ... -1 failed-to-run +8 519.lbm_r lbm_r_base.default ... -1 -1 +10 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run +11 523.xalancbmk_r cpuxalan_r_base.default ... failed-to-run failed-to-run +14 525.x264_r x264_r_base.default ... failed-to-run failed-to-run +15 526.blender_r blender_r_base.default ... failed-to-run failed-to-run +16 531.deepsjeng_r deepsjeng_r_base.default ... success success +23 538.imagick_r imagick_r_base.default ... failed-to-run failed-to-run +24 541.leela_r leela_r_base.default ... failed-to-run failed-to-run +25 541.leela_r leela_r_base.default ... failed-to-run failed-to-run +30 544.nab_r nab_r_base.default ... failed-to-run failed-to-run +31 557.xz_r xz_r_base.default ... success success -[20 rows x 20 columns] -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; -output-bmk-results.py(261): for index, row in results_df.iterrows(): -output-bmk-results.py(263): classif, short_diag = get_status_diag(row) - --- modulename: output-bmk-results, funcname: get_status_diag -output-bmk-results.py(113): bmk = row["benchmark"] -output-bmk-results.py(115): short_diag="" -output-bmk-results.py(116): classif="" -output-bmk-results.py(118): if row["status_x"]!="failed-to-build" and row["status_y"]=="failed-to-build": -output-bmk-results.py(121): elif row["status_x"]=="success" and row["status_y"]=="failed-to-run": -output-bmk-results.py(124): elif row["status_x"]=="failed-to-build" and row["status_y"]=="failed-to-run": -output-bmk-results.py(127): elif row["status_x"]=="failed-to-run" and row["status_y"]=="success": -output-bmk-results.py(130): elif row["status_x"]=="failed-to-build" and row["status_y"]=="success": -output-bmk-results.py(134): return classif, short_diag -output-bmk-results.py(265): if classif != change_kind: -output-bmk-results.py(266): continue; +[13 rows x 20 columns] output-bmk-results.py(261): for index, row in results_df.iterrows(): output-bmk-results.py(263): classif, short_diag = get_status_diag(row) --- modulename: output-bmk-results, funcname: get_status_diag @@ -777,7 +567,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.regression : 519.lbm_r,lbm_r_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.regression : 508.namd_r,namd_r_base.default : sample=200% (threshold=3%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -817,7 +607,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.regression : 523.xalancbmk_r,cpuxalan_r_base.default : sample=-1% (threshold=3%) +DEBUG: checking exe.regression : 523.xalancbmk_r,cpuxalan_r_base.default : sample=0% (threshold=3%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -857,60 +647,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.regression : 531.deepsjeng_r,deepsjeng_r_base.default : sample=-4% (threshold=3%) -output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): - --- modulename: output-bmk-results, funcname: is_entry_regression -output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: -output-bmk-results.py(184): return (result - 100 > threshold) -output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) - --- modulename: output-bmk-results, funcname: get_short_long_diag -output-bmk-results.py(137): bmk = row["benchmark"] -output-bmk-results.py(139): rel_value = row["rel_" + metric] -output-bmk-results.py(140): prev_value = row[metric + "_x"] -output-bmk-results.py(141): curr_value = row[metric + "_y"] -output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(152): suffix = "" -output-bmk-results.py(153): if metric == "sample": -output-bmk-results.py(154): prefix_regression = "slowed down by" -output-bmk-results.py(155): prefix_improvement = "sped up by" -output-bmk-results.py(156): suffix = "perf samples" -output-bmk-results.py(167): if sym_type=="symbol": -output-bmk-results.py(170): item=bmk -output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) -output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) -output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag -output-bmk-results.py(239): if metric == "sample" \ -output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ -output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) -DEBUG: *** 531.deepsjeng_r,deepsjeng_r_base.default : slowed down by 4% - 531.deepsjeng_r - from 10630 to 11005 perf samples -output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) - --- modulename: output-bmk-results, funcname: write_csv -output-bmk-results.py(41): if not self.predicate or not self.csvwriter: -output-bmk-results.py(43): self.csvwriter.writerow(arr) -output-bmk-results.py(249): if change_kind == "regression": -output-bmk-results.py(250): f_regr.write("# {0},{1}\n".format(row["symbol"], long_diag)) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) -output-bmk-results.py(251): f_ebp.write("++benchmarks {0} ".format(row["benchmark"])) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) -output-bmk-results.py(224): for index, row in out_df.iterrows(): -output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) - --- modulename: output-bmk-results, funcname: get_threshold -output-bmk-results.py(98): if metric == "sample": -output-bmk-results.py(99): spec_thr = get_specific_thresholds(metric, mode, bmk, symb) - --- modulename: output-bmk-results, funcname: get_specific_thresholds -output-bmk-results.py(57): if specific_variability is None: -output-bmk-results.py(58): return np.nan -output-bmk-results.py(100): if not np.isnan(spec_thr): -output-bmk-results.py(107): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(110): return default_threshold[(change_kind,metric,mode)] -output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) -output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.regression : 538.imagick_r,imagick_r_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.regression : 531.deepsjeng_r,deepsjeng_r_base.default : sample=1% (threshold=3%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -982,6 +719,7 @@ output-bmk-results.py(253): f_out.close() output-bmk-results.py(29): if not self.outf: output-bmk-results.py(31): self.outf.close() output-bmk-results.py(32): if os.stat(self.filename).st_size == 0: +output-bmk-results.py(33): os.remove(self.filename) output-bmk-results.py(298): output_bmk_results_1(exe_df, "exe", "improvement", None, f_skip, None, run_step_artifacts, metric, mode, details) --- modulename: output-bmk-results, funcname: output_bmk_results_1 output-bmk-results.py(218): f_out = Outfile("{0}/{1}.{2}".format(run_step_artifacts, sym_type, change_kind), "w", predicate=(details=="verbose")) @@ -1027,12 +765,38 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.improvement : 519.lbm_r,lbm_r_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.improvement : 508.namd_r,namd_r_base.default : sample=200% (threshold=3%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(193): return (100 - result > threshold) -output-bmk-results.py(233): continue +output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) + --- modulename: output-bmk-results, funcname: get_short_long_diag +output-bmk-results.py(137): bmk = row["benchmark"] +output-bmk-results.py(139): rel_value = row["rel_" + metric] +output-bmk-results.py(140): prev_value = row[metric + "_x"] +output-bmk-results.py(141): curr_value = row[metric + "_y"] +output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": +output-bmk-results.py(152): suffix = "" +output-bmk-results.py(153): if metric == "sample": +output-bmk-results.py(154): prefix_regression = "slowed down by" +output-bmk-results.py(155): prefix_improvement = "sped up by" +output-bmk-results.py(156): suffix = "perf samples" +output-bmk-results.py(167): if sym_type=="symbol": +output-bmk-results.py(170): item=bmk +output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) +output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) +output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag +output-bmk-results.py(239): if metric == "sample" \ +output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ +output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ +output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) +DEBUG: *** 508.namd_r,namd_r_base.default : sped up by 200% - 508.namd_r - from 1 to -1 perf samples +output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) + --- modulename: output-bmk-results, funcname: write_csv +output-bmk-results.py(41): if not self.predicate or not self.csvwriter: +output-bmk-results.py(43): self.csvwriter.writerow(arr) +output-bmk-results.py(249): if change_kind == "regression": output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -1067,26 +831,6 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.improvement : 523.xalancbmk_r,cpuxalan_r_base.default : sample=-1% (threshold=3%) -output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): - --- modulename: output-bmk-results, funcname: is_entry_improvement -output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: -output-bmk-results.py(193): return (100 - result > threshold) -output-bmk-results.py(233): continue -output-bmk-results.py(224): for index, row in out_df.iterrows(): -output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) - --- modulename: output-bmk-results, funcname: get_threshold -output-bmk-results.py(98): if metric == "sample": -output-bmk-results.py(99): spec_thr = get_specific_thresholds(metric, mode, bmk, symb) - --- modulename: output-bmk-results, funcname: get_specific_thresholds -output-bmk-results.py(57): if specific_variability is None: -output-bmk-results.py(58): return np.nan -output-bmk-results.py(100): if not np.isnan(spec_thr): -output-bmk-results.py(107): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(110): return default_threshold[(change_kind,metric,mode)] -output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) -output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ DEBUG: checking exe.improvement : 523.xalancbmk_r,cpuxalan_r_base.default : sample=0% (threshold=3%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement @@ -1107,7 +851,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.improvement : 531.deepsjeng_r,deepsjeng_r_base.default : sample=-4% (threshold=3%) +DEBUG: checking exe.improvement : 523.xalancbmk_r,cpuxalan_r_base.default : sample=0% (threshold=3%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -1127,7 +871,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.improvement : 538.imagick_r,imagick_r_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.improvement : 531.deepsjeng_r,deepsjeng_r_base.default : sample=1% (threshold=3%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -1199,7 +943,6 @@ output-bmk-results.py(253): f_out.close() output-bmk-results.py(29): if not self.outf: output-bmk-results.py(31): self.outf.close() output-bmk-results.py(32): if os.stat(self.filename).st_size == 0: -output-bmk-results.py(33): os.remove(self.filename) output-bmk-results.py(300): output_bmk_results_1(sym_df, "symbol", "regression", f_regr, f_skip, f_ebp, run_step_artifacts, metric, mode, details) --- modulename: output-bmk-results, funcname: output_bmk_results_1 output-bmk-results.py(218): f_out = Outfile("{0}/{1}.{2}".format(run_step_artifacts, sym_type, change_kind), "w", predicate=(details=="verbose")) @@ -1245,7 +988,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 505.mcf_r,[.] primal_bea_mpp : sample=-1% (threshold=15%) +DEBUG: checking symbol.regression : 505.mcf_r,[.] primal_bea_mpp : sample=5% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1265,7 +1008,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 505.mcf_r,[.] cost_compare : sample=2% (threshold=15%) +DEBUG: checking symbol.regression : 505.mcf_r,[.] cost_compare : sample=-4% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1285,12 +1028,46 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 508.namd_r,[.] __vfscanf_internal : sample=50% (threshold=15%) +DEBUG: checking symbol.regression : 508.namd_r,libc.so.6 : sample=-100% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(184): return (result - 100 > threshold) -output-bmk-results.py(233): continue +output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) + --- modulename: output-bmk-results, funcname: get_short_long_diag +output-bmk-results.py(137): bmk = row["benchmark"] +output-bmk-results.py(139): rel_value = row["rel_" + metric] +output-bmk-results.py(140): prev_value = row[metric + "_x"] +output-bmk-results.py(141): curr_value = row[metric + "_y"] +output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": +output-bmk-results.py(152): suffix = "" +output-bmk-results.py(153): if metric == "sample": +output-bmk-results.py(154): prefix_regression = "slowed down by" +output-bmk-results.py(155): prefix_improvement = "sped up by" +output-bmk-results.py(156): suffix = "perf samples" +output-bmk-results.py(167): if sym_type=="symbol": +output-bmk-results.py(168): item=bmk+":"+row["symbol"] +output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) +output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) +output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag +output-bmk-results.py(239): if metric == "sample" \ +output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ +output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ +output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) +DEBUG: *** 508.namd_r,libc.so.6 : slowed down by 100% - 508.namd_r:libc.so.6 - from 1 to 2 perf samples +output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) + --- modulename: output-bmk-results, funcname: write_csv +output-bmk-results.py(41): if not self.predicate or not self.csvwriter: +output-bmk-results.py(43): self.csvwriter.writerow(arr) +output-bmk-results.py(249): if change_kind == "regression": +output-bmk-results.py(250): f_regr.write("# {0},{1}\n".format(row["symbol"], long_diag)) + --- modulename: output-bmk-results, funcname: write +output-bmk-results.py(36): if not self.predicate or not self.outf: +output-bmk-results.py(38): self.outf.write(string) +output-bmk-results.py(251): f_ebp.write("++benchmarks {0} ".format(row["benchmark"])) + --- modulename: output-bmk-results, funcname: write +output-bmk-results.py(36): if not self.predicate or not self.outf: +output-bmk-results.py(38): self.outf.write(string) output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -1305,7 +1082,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 508.namd_r,libc.so.6 : sample=50% (threshold=15%) +DEBUG: checking symbol.regression : 508.namd_r,[.] __vfscanf_internal : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1345,7 +1122,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore8containsEPKNS_13FieldValueMapE : sample=3% (threshold=15%) +DEBUG: checking symbol.regression : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore8containsEPKNS_13FieldValueMapE : sample=-1% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1365,7 +1142,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : sample=-7% (threshold=15%) +DEBUG: checking symbol.regression : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : sample=-1% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1385,7 +1162,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=-8% (threshold=15%) +DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=3% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1405,7 +1182,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z7ProbeTTP7state_tPiiiPjS1_S1_S1_S1_i : sample=-1% (threshold=15%) +DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z7ProbeTTP7state_tPiiiPjS1_S1_S1_S1_i : sample=2% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1425,7 +1202,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=-2% (threshold=15%) +DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=-4% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1445,7 +1222,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z15FindFirstRemovePy : sample=-7% (threshold=15%) +DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z15FindFirstRemovePy : sample=2% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1465,46 +1242,32 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 538.imagick_r,libc.so.6 : sample=-50% (threshold=15%) +DEBUG: checking symbol.regression : 538.imagick_r,libc.so.6 : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(184): return (result - 100 > threshold) -output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) - --- modulename: output-bmk-results, funcname: get_short_long_diag -output-bmk-results.py(137): bmk = row["benchmark"] -output-bmk-results.py(139): rel_value = row["rel_" + metric] -output-bmk-results.py(140): prev_value = row[metric + "_x"] -output-bmk-results.py(141): curr_value = row[metric + "_y"] -output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(152): suffix = "" -output-bmk-results.py(153): if metric == "sample": -output-bmk-results.py(154): prefix_regression = "slowed down by" -output-bmk-results.py(155): prefix_improvement = "sped up by" -output-bmk-results.py(156): suffix = "perf samples" -output-bmk-results.py(167): if sym_type=="symbol": -output-bmk-results.py(168): item=bmk+":"+row["symbol"] -output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) -output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) -output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag -output-bmk-results.py(239): if metric == "sample" \ -output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ -output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ -output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) -DEBUG: *** 538.imagick_r,libc.so.6 : slowed down by 50% - 538.imagick_r:libc.so.6 - from 2 to 3 perf samples -output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) - --- modulename: output-bmk-results, funcname: write_csv -output-bmk-results.py(41): if not self.predicate or not self.csvwriter: -output-bmk-results.py(43): self.csvwriter.writerow(arr) -output-bmk-results.py(249): if change_kind == "regression": -output-bmk-results.py(250): f_regr.write("# {0},{1}\n".format(row["symbol"], long_diag)) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) -output-bmk-results.py(251): f_ebp.write("++benchmarks {0} ".format(row["benchmark"])) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) +output-bmk-results.py(233): continue +output-bmk-results.py(224): for index, row in out_df.iterrows(): +output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) + --- modulename: output-bmk-results, funcname: get_threshold +output-bmk-results.py(98): if metric == "sample": +output-bmk-results.py(99): spec_thr = get_specific_thresholds(metric, mode, bmk, symb) + --- modulename: output-bmk-results, funcname: get_specific_thresholds +output-bmk-results.py(57): if specific_variability is None: +output-bmk-results.py(58): return np.nan +output-bmk-results.py(100): if not np.isnan(spec_thr): +output-bmk-results.py(107): if metric == "num_vect_loops" or metric == "num_sve_loops": +output-bmk-results.py(110): return default_threshold[(change_kind,metric,mode)] +output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ +output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) +output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ +DEBUG: checking symbol.regression : 538.imagick_r,[.] _IO_fread : sample=33% (threshold=15%) +output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): + --- modulename: output-bmk-results, funcname: is_entry_regression +output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: +output-bmk-results.py(184): return (result - 100 > threshold) +output-bmk-results.py(233): continue output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -1519,7 +1282,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 538.imagick_r,[.] _IO_fread : sample=-50% (threshold=15%) +DEBUG: checking symbol.regression : 541.leela_r,[.] _ZN7MatcherC2Ev : sample=-100% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1544,21 +1307,12 @@ output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_di output-bmk-results.py(239): if metric == "sample" \ output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ -output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) -DEBUG: *** 538.imagick_r,[.] _IO_fread : slowed down by 50% - 538.imagick_r:[.] _IO_fread - from 2 to 3 perf samples -output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) +output-bmk-results.py(242): and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e": +output-bmk-results.py(243): f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag)) --- modulename: output-bmk-results, funcname: write_csv output-bmk-results.py(41): if not self.predicate or not self.csvwriter: output-bmk-results.py(43): self.csvwriter.writerow(arr) -output-bmk-results.py(249): if change_kind == "regression": -output-bmk-results.py(250): f_regr.write("# {0},{1}\n".format(row["symbol"], long_diag)) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) -output-bmk-results.py(251): f_ebp.write("++benchmarks {0} ".format(row["benchmark"])) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) +output-bmk-results.py(244): continue output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -1573,27 +1327,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 541.leela_r,[.] _ZN9FastBoard25get_pattern3_augment_specEiib : sample=0% (threshold=15%) -output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): - --- modulename: output-bmk-results, funcname: is_entry_regression -output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: -output-bmk-results.py(184): return (result - 100 > threshold) -output-bmk-results.py(233): continue -output-bmk-results.py(224): for index, row in out_df.iterrows(): -output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) - --- modulename: output-bmk-results, funcname: get_threshold -output-bmk-results.py(98): if metric == "sample": -output-bmk-results.py(99): spec_thr = get_specific_thresholds(metric, mode, bmk, symb) - --- modulename: output-bmk-results, funcname: get_specific_thresholds -output-bmk-results.py(57): if specific_variability is None: -output-bmk-results.py(58): return np.nan -output-bmk-results.py(100): if not np.isnan(spec_thr): -output-bmk-results.py(107): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(110): return default_threshold[(change_kind,metric,mode)] -output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) -output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 541.leela_r,[.] _ZN7MatcherC2Ev : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 541.leela_r,[.] _ZN9FastBoard25get_pattern3_augment_specEiib : sample=50% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1633,46 +1367,12 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 544.nab_r,[.] __vfscanf_internal : sample=-100% (threshold=15%) +DEBUG: checking symbol.regression : 544.nab_r,[.] __vfscanf_internal : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(184): return (result - 100 > threshold) -output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) - --- modulename: output-bmk-results, funcname: get_short_long_diag -output-bmk-results.py(137): bmk = row["benchmark"] -output-bmk-results.py(139): rel_value = row["rel_" + metric] -output-bmk-results.py(140): prev_value = row[metric + "_x"] -output-bmk-results.py(141): curr_value = row[metric + "_y"] -output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(152): suffix = "" -output-bmk-results.py(153): if metric == "sample": -output-bmk-results.py(154): prefix_regression = "slowed down by" -output-bmk-results.py(155): prefix_improvement = "sped up by" -output-bmk-results.py(156): suffix = "perf samples" -output-bmk-results.py(167): if sym_type=="symbol": -output-bmk-results.py(168): item=bmk+":"+row["symbol"] -output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) -output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) -output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag -output-bmk-results.py(239): if metric == "sample" \ -output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ -output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ -output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) -DEBUG: *** 544.nab_r,[.] __vfscanf_internal : slowed down by 100% - 544.nab_r:[.] __vfscanf_internal - from 1 to 2 perf samples -output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) - --- modulename: output-bmk-results, funcname: write_csv -output-bmk-results.py(41): if not self.predicate or not self.csvwriter: -output-bmk-results.py(43): self.csvwriter.writerow(arr) -output-bmk-results.py(249): if change_kind == "regression": -output-bmk-results.py(250): f_regr.write("# {0},{1}\n".format(row["symbol"], long_diag)) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) -output-bmk-results.py(251): f_ebp.write("++benchmarks {0} ".format(row["benchmark"])) - --- modulename: output-bmk-results, funcname: write -output-bmk-results.py(36): if not self.predicate or not self.outf: -output-bmk-results.py(38): self.outf.write(string) +output-bmk-results.py(233): continue output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -1687,7 +1387,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_mf_bt4_find : sample=2% (threshold=15%) +DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_mf_bt4_find : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1707,7 +1407,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_lzma_optimum_normal : sample=-3% (threshold=15%) +DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_lzma_optimum_normal : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1727,7 +1427,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_mf_bt4_skip : sample=-3% (threshold=15%) +DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_mf_bt4_skip : sample=2% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(183): if metric in metric_utils.higher_regress_metrics: @@ -1784,7 +1484,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 505.mcf_r,[.] primal_bea_mpp : sample=-1% (threshold=15%) +DEBUG: checking symbol.improvement : 505.mcf_r,[.] primal_bea_mpp : sample=5% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -1804,7 +1504,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 505.mcf_r,[.] cost_compare : sample=2% (threshold=15%) +DEBUG: checking symbol.improvement : 505.mcf_r,[.] cost_compare : sample=-4% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -1824,38 +1524,12 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 508.namd_r,[.] __vfscanf_internal : sample=50% (threshold=15%) +DEBUG: checking symbol.improvement : 508.namd_r,libc.so.6 : sample=-100% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(193): return (100 - result > threshold) -output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) - --- modulename: output-bmk-results, funcname: get_short_long_diag -output-bmk-results.py(137): bmk = row["benchmark"] -output-bmk-results.py(139): rel_value = row["rel_" + metric] -output-bmk-results.py(140): prev_value = row[metric + "_x"] -output-bmk-results.py(141): curr_value = row[metric + "_y"] -output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(152): suffix = "" -output-bmk-results.py(153): if metric == "sample": -output-bmk-results.py(154): prefix_regression = "slowed down by" -output-bmk-results.py(155): prefix_improvement = "sped up by" -output-bmk-results.py(156): suffix = "perf samples" -output-bmk-results.py(167): if sym_type=="symbol": -output-bmk-results.py(168): item=bmk+":"+row["symbol"] -output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) -output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) -output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag -output-bmk-results.py(239): if metric == "sample" \ -output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ -output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ -output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) -DEBUG: *** 508.namd_r,[.] __vfscanf_internal : sped up by 50% - 508.namd_r:[.] __vfscanf_internal - from 2 to 1 perf samples -output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) - --- modulename: output-bmk-results, funcname: write_csv -output-bmk-results.py(41): if not self.predicate or not self.csvwriter: -output-bmk-results.py(43): self.csvwriter.writerow(arr) -output-bmk-results.py(249): if change_kind == "regression": +output-bmk-results.py(233): continue output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -1870,38 +1544,12 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 508.namd_r,libc.so.6 : sample=50% (threshold=15%) +DEBUG: checking symbol.improvement : 508.namd_r,[.] __vfscanf_internal : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(193): return (100 - result > threshold) -output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) - --- modulename: output-bmk-results, funcname: get_short_long_diag -output-bmk-results.py(137): bmk = row["benchmark"] -output-bmk-results.py(139): rel_value = row["rel_" + metric] -output-bmk-results.py(140): prev_value = row[metric + "_x"] -output-bmk-results.py(141): curr_value = row[metric + "_y"] -output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(152): suffix = "" -output-bmk-results.py(153): if metric == "sample": -output-bmk-results.py(154): prefix_regression = "slowed down by" -output-bmk-results.py(155): prefix_improvement = "sped up by" -output-bmk-results.py(156): suffix = "perf samples" -output-bmk-results.py(167): if sym_type=="symbol": -output-bmk-results.py(168): item=bmk+":"+row["symbol"] -output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) -output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) -output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag -output-bmk-results.py(239): if metric == "sample" \ -output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ -output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ -output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) -DEBUG: *** 508.namd_r,libc.so.6 : sped up by 50% - 508.namd_r:libc.so.6 - from 2 to 1 perf samples -output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) - --- modulename: output-bmk-results, funcname: write_csv -output-bmk-results.py(41): if not self.predicate or not self.csvwriter: -output-bmk-results.py(43): self.csvwriter.writerow(arr) -output-bmk-results.py(249): if change_kind == "regression": +output-bmk-results.py(233): continue output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -1936,7 +1584,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore8containsEPKNS_13FieldValueMapE : sample=3% (threshold=15%) +DEBUG: checking symbol.improvement : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore8containsEPKNS_13FieldValueMapE : sample=-1% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -1956,7 +1604,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : sample=-7% (threshold=15%) +DEBUG: checking symbol.improvement : 523.xalancbmk_r,[.] _ZN11xercesc_2_710ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : sample=-1% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -1976,7 +1624,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=-8% (threshold=15%) +DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=3% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -1996,7 +1644,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z7ProbeTTP7state_tPiiiPjS1_S1_S1_S1_i : sample=-1% (threshold=15%) +DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z7ProbeTTP7state_tPiiiPjS1_S1_S1_S1_i : sample=2% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2016,7 +1664,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=-4% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2036,7 +1684,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z15FindFirstRemovePy : sample=-7% (threshold=15%) +DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z15FindFirstRemovePy : sample=2% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2056,7 +1704,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 538.imagick_r,libc.so.6 : sample=-50% (threshold=15%) +DEBUG: checking symbol.improvement : 538.imagick_r,libc.so.6 : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2076,12 +1724,38 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 538.imagick_r,[.] _IO_fread : sample=-50% (threshold=15%) +DEBUG: checking symbol.improvement : 538.imagick_r,[.] _IO_fread : sample=33% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(193): return (100 - result > threshold) -output-bmk-results.py(233): continue +output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) + --- modulename: output-bmk-results, funcname: get_short_long_diag +output-bmk-results.py(137): bmk = row["benchmark"] +output-bmk-results.py(139): rel_value = row["rel_" + metric] +output-bmk-results.py(140): prev_value = row[metric + "_x"] +output-bmk-results.py(141): curr_value = row[metric + "_y"] +output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": +output-bmk-results.py(152): suffix = "" +output-bmk-results.py(153): if metric == "sample": +output-bmk-results.py(154): prefix_regression = "slowed down by" +output-bmk-results.py(155): prefix_improvement = "sped up by" +output-bmk-results.py(156): suffix = "perf samples" +output-bmk-results.py(167): if sym_type=="symbol": +output-bmk-results.py(168): item=bmk+":"+row["symbol"] +output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) +output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) +output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag +output-bmk-results.py(239): if metric == "sample" \ +output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ +output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ +output-bmk-results.py(246): print("DEBUG: *** {0},{1} : {2}".format(row["benchmark"], row["symbol"], long_diag)) +DEBUG: *** 538.imagick_r,[.] _IO_fread : sped up by 33% - 538.imagick_r:[.] _IO_fread - from 3 to 2 perf samples +output-bmk-results.py(248): f_out.write_csv((percent_change, row["benchmark"], row["symbol"], short_diag, long_diag)) + --- modulename: output-bmk-results, funcname: write_csv +output-bmk-results.py(41): if not self.predicate or not self.csvwriter: +output-bmk-results.py(43): self.csvwriter.writerow(arr) +output-bmk-results.py(249): if change_kind == "regression": output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -2096,7 +1770,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 541.leela_r,[.] _ZN9FastBoard25get_pattern3_augment_specEiib : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 541.leela_r,[.] _ZN7MatcherC2Ev : sample=-100% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2116,12 +1790,37 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 541.leela_r,[.] _ZN7MatcherC2Ev : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 541.leela_r,[.] _ZN9FastBoard25get_pattern3_augment_specEiib : sample=50% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(193): return (100 - result > threshold) -output-bmk-results.py(233): continue +output-bmk-results.py(235): percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind) + --- modulename: output-bmk-results, funcname: get_short_long_diag +output-bmk-results.py(137): bmk = row["benchmark"] +output-bmk-results.py(139): rel_value = row["rel_" + metric] +output-bmk-results.py(140): prev_value = row[metric + "_x"] +output-bmk-results.py(141): curr_value = row[metric + "_y"] +output-bmk-results.py(142): if metric == "num_vect_loops" or metric == "num_sve_loops": +output-bmk-results.py(152): suffix = "" +output-bmk-results.py(153): if metric == "sample": +output-bmk-results.py(154): prefix_regression = "slowed down by" +output-bmk-results.py(155): prefix_improvement = "sped up by" +output-bmk-results.py(156): suffix = "perf samples" +output-bmk-results.py(167): if sym_type=="symbol": +output-bmk-results.py(168): item=bmk+":"+row["symbol"] +output-bmk-results.py(172): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) +output-bmk-results.py(173): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) +output-bmk-results.py(174): return abs(rel_value - 100), short_diag, long_diag +output-bmk-results.py(239): if metric == "sample" \ +output-bmk-results.py(240): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ +output-bmk-results.py(241): and row['symbol_md5sum_x'] != "-1" \ +output-bmk-results.py(242): and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e": +output-bmk-results.py(243): f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag)) + --- modulename: output-bmk-results, funcname: write_csv +output-bmk-results.py(41): if not self.predicate or not self.csvwriter: +output-bmk-results.py(43): self.csvwriter.writerow(arr) +output-bmk-results.py(244): continue output-bmk-results.py(224): for index, row in out_df.iterrows(): output-bmk-results.py(226): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -2156,7 +1855,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 544.nab_r,[.] __vfscanf_internal : sample=-100% (threshold=15%) +DEBUG: checking symbol.improvement : 544.nab_r,[.] __vfscanf_internal : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2176,7 +1875,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_mf_bt4_find : sample=2% (threshold=15%) +DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_mf_bt4_find : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2196,7 +1895,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_lzma_optimum_normal : sample=-3% (threshold=15%) +DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_lzma_optimum_normal : sample=0% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2216,7 +1915,7 @@ output-bmk-results.py(110): return default_threshold[(change_kind,metric,mod output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(229): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(228): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_mf_bt4_skip : sample=-3% (threshold=15%) +DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_mf_bt4_skip : sample=2% (threshold=15%) output-bmk-results.py(232): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(192): if metric in metric_utils.higher_regress_metrics: @@ -2237,7 +1936,6 @@ output-bmk-results.py(305): f_skip.close() output-bmk-results.py(29): if not self.outf: output-bmk-results.py(31): self.outf.close() output-bmk-results.py(32): if os.stat(self.filename).st_size == 0: -output-bmk-results.py(33): os.remove(self.filename) output-bmk-results.py(306): f_regr.close() --- modulename: output-bmk-results, funcname: close output-bmk-results.py(29): if not self.outf: |