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-rw-r--r--notify/output-bmk-results.log86
1 files changed, 16 insertions, 70 deletions
diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log
index b1cee21..53d5130 100644
--- a/notify/output-bmk-results.log
+++ b/notify/output-bmk-results.log
@@ -369,7 +369,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking exe.regression : 531.deepsjeng_r,deepsjeng_r_base.default : sample=-1% (threshold=3.09%)
+DEBUG: checking exe.regression : 531.deepsjeng_r,deepsjeng_r_base.default : sample=-1% (threshold=3.06%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -758,7 +758,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking exe.improvement : 531.deepsjeng_r,deepsjeng_r_base.default : sample=-1% (threshold=3.09%)
+DEBUG: checking exe.improvement : 531.deepsjeng_r,deepsjeng_r_base.default : sample=-1% (threshold=3.06%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -925,7 +925,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 505.mcf_r,[.] primal_bea_mpp : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 505.mcf_r,[.] primal_bea_mpp : sample=-1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -979,7 +979,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=3% (threshold=15%)
+DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=-1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -1006,7 +1006,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): 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=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z7ProbeTTP7state_tPiiiPjS1_S1_S1_S1_i : sample=1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -1033,7 +1033,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -1060,7 +1060,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z4makeP7state_ti : sample=-8% (threshold=23.490000000000002%)
+DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_mf_bt4_find : sample=1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -1087,7 +1087,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): 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_lzma_optimum_normal : sample=-3% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -1114,34 +1114,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): 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%)
-output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
- --- modulename: output-bmk-results, funcname: is_entry_regression
-output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
-output-bmk-results.py(176): return (result - 100 > threshold)
-output-bmk-results.py(225): continue
-output-bmk-results.py(216): for index, row in out_df.iterrows():
-output-bmk-results.py(218): 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(60): var = specific_variability[ (specific_variability['benchmark'] == bmk) & (specific_variability['symbol'].str.strip() == symb)]
-output-bmk-results.py(61): if var.empty:
-output-bmk-results.py(63): elif len(var)>1:
-output-bmk-results.py(68): if var.iloc[0]['sample_variation_average']>0 :
-output-bmk-results.py(69): threshold = ( var.iloc[0]['sample_variation_average'] )
-output-bmk-results.py(70): if mode == "build":
-output-bmk-results.py(74): threshold *= 3
-output-bmk-results.py(81): return threshold
-output-bmk-results.py(100): if not np.isnan(spec_thr):
-output-bmk-results.py(104): spec_thr=max(spec_thr, default_threshold[(change_kind,metric,mode)])
-output-bmk-results.py(105): return spec_thr
-output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
-output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_mf_bt4_skip : sample=2% (threshold=15%)
+DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_mf_bt4_skip : sample=3% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -1213,7 +1186,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 505.mcf_r,[.] primal_bea_mpp : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 505.mcf_r,[.] primal_bea_mpp : sample=-1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -1267,34 +1240,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=3% (threshold=15%)
-output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
- --- modulename: output-bmk-results, funcname: is_entry_improvement
-output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
-output-bmk-results.py(185): return (100 - result > threshold)
-output-bmk-results.py(225): continue
-output-bmk-results.py(216): for index, row in out_df.iterrows():
-output-bmk-results.py(218): 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(60): var = specific_variability[ (specific_variability['benchmark'] == bmk) & (specific_variability['symbol'].str.strip() == symb)]
-output-bmk-results.py(61): if var.empty:
-output-bmk-results.py(63): elif len(var)>1:
-output-bmk-results.py(68): if var.iloc[0]['sample_variation_average']>0 :
-output-bmk-results.py(69): threshold = ( var.iloc[0]['sample_variation_average'] )
-output-bmk-results.py(70): if mode == "build":
-output-bmk-results.py(74): threshold *= 3
-output-bmk-results.py(81): return threshold
-output-bmk-results.py(100): if not np.isnan(spec_thr):
-output-bmk-results.py(104): spec_thr=max(spec_thr, default_threshold[(change_kind,metric,mode)])
-output-bmk-results.py(105): return spec_thr
-output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
-output-bmk-results.py(220): 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=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z5fevalP7state_tiP12t_eval_comps : sample=-1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -1321,7 +1267,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z7ProbeTTP7state_tPiiiPjS1_S1_S1_S1_i : sample=1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -1348,7 +1294,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z4makeP7state_ti : sample=-8% (threshold=23.490000000000002%)
+DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z6searchP7state_tiiiii : sample=1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -1375,7 +1321,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): 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=1% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -1402,7 +1348,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): 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=-3% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -1429,7 +1375,7 @@ output-bmk-results.py(105): return spec_thr
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_mf_bt4_skip : sample=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_mf_bt4_skip : sample=3% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
generated by cgit v1.2.3 (git 2.25.1) at 2024-06-29 08:45:29 +0000