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-rw-r--r--notify/output-bmk-results.log124
1 files changed, 62 insertions, 62 deletions
diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log
index 67a8067..885d7b8 100644
--- a/notify/output-bmk-results.log
+++ b/notify/output-bmk-results.log
@@ -744,22 +744,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 403.gcc,libc.so.6 : size=0% (threshold=10%)
-output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
- --- modulename: output-bmk-results, funcname: is_entry_regression
-output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
-output-bmk-results.py(168): return (result - 100 > threshold)
-output-bmk-results.py(217): continue
-output-bmk-results.py(208): for index, row in out_df.iterrows():
-output-bmk-results.py(210): 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(108): if metric == "num_vect_loops" or metric == "num_sve_loops":
-output-bmk-results.py(111): return default_threshold[(change_kind,metric,mode)]
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 403.gcc,[.] ggc_mark_trees : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 403.gcc,[.] ggc_alloc : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -909,7 +894,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -924,7 +909,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -984,7 +969,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 445.gobmk,[.] do_dfa_matchpat : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 445.gobmk,[.] do_dfa_matchpat : size=-2% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1089,7 +1074,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 450.soplex,libc.so.6 : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1119,7 +1104,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1134,7 +1119,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1149,7 +1134,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 456.hmmer,[.] P7Viterbi : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1164,7 +1149,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 456.hmmer,[.] P7Viterbi : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 458.sjeng,[.] std_eval : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1179,7 +1164,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 458.sjeng,[.] std_eval : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 458.sjeng,[.] gen : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1194,7 +1179,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 458.sjeng,[.] gen : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 458.sjeng,[.] search : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1209,7 +1194,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 458.sjeng,[.] search : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_toffoli : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1224,7 +1209,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_toffoli : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1254,7 +1239,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 464.h264ref,[.] SetupFastFullPelSearch : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1269,7 +1254,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 464.h264ref,[.] SetupFastFullPelSearch : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 464.h264ref,[.] SubPelBlockMotionSearch : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1284,7 +1269,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 464.h264ref,[.] SubPelBlockMotionSearch : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 464.h264ref,[.] FastFullPelBlockMotionSearch : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1426,6 +1411,21 @@ output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics
output-bmk-results.py(168): return (result - 100 > threshold)
output-bmk-results.py(217): continue
output-bmk-results.py(208): for index, row in out_df.iterrows():
+output-bmk-results.py(210): 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(108): if metric == "num_vect_loops" or metric == "num_sve_loops":
+output-bmk-results.py(111): return default_threshold[(change_kind,metric,mode)]
+output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
+output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
+output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
+DEBUG: checking symbol.regression : 483.xalancbmk,[.] _ZNK10xalanc_1_85XPath11executeMoreEPNS_9XalanNodeEN9__gnu_cxx17__normal_iteratorIPKiSt6vectorIiSaIiEEEERNS_21XPathExecutionContextE : size=0% (threshold=10%)
+output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
+ --- modulename: output-bmk-results, funcname: is_entry_regression
+output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
+output-bmk-results.py(168): return (result - 100 > threshold)
+output-bmk-results.py(217): continue
+output-bmk-results.py(208): for index, row in out_df.iterrows():
output-bmk-results.py(237): f_out.close()
--- modulename: output-bmk-results, funcname: close
output-bmk-results.py(29): if not self.outf:
@@ -1512,22 +1512,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 403.gcc,libc.so.6 : size=0% (threshold=10%)
-output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
- --- modulename: output-bmk-results, funcname: is_entry_improvement
-output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
-output-bmk-results.py(177): return (100 - result > threshold)
-output-bmk-results.py(217): continue
-output-bmk-results.py(208): for index, row in out_df.iterrows():
-output-bmk-results.py(210): 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(108): if metric == "num_vect_loops" or metric == "num_sve_loops":
-output-bmk-results.py(111): return default_threshold[(change_kind,metric,mode)]
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 403.gcc,[.] ggc_mark_trees : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 403.gcc,[.] ggc_alloc : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1677,7 +1662,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1692,7 +1677,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1752,7 +1737,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 445.gobmk,[.] do_dfa_matchpat : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 445.gobmk,[.] do_dfa_matchpat : size=-2% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1857,7 +1842,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 450.soplex,libc.so.6 : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1887,7 +1872,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1902,7 +1887,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1917,7 +1902,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 456.hmmer,[.] P7Viterbi : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1932,7 +1917,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 456.hmmer,[.] P7Viterbi : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 458.sjeng,[.] std_eval : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1947,7 +1932,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 458.sjeng,[.] std_eval : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 458.sjeng,[.] gen : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1962,7 +1947,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 458.sjeng,[.] gen : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 458.sjeng,[.] search : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1977,7 +1962,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 458.sjeng,[.] search : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_toffoli : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1992,7 +1977,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_toffoli : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -2022,7 +2007,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 464.h264ref,[.] SetupFastFullPelSearch : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -2037,7 +2022,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 464.h264ref,[.] SetupFastFullPelSearch : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 464.h264ref,[.] SubPelBlockMotionSearch : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -2052,7 +2037,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 464.h264ref,[.] SubPelBlockMotionSearch : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 464.h264ref,[.] FastFullPelBlockMotionSearch : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -2194,6 +2179,21 @@ output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics
output-bmk-results.py(177): return (100 - result > threshold)
output-bmk-results.py(217): continue
output-bmk-results.py(208): for index, row in out_df.iterrows():
+output-bmk-results.py(210): 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(108): if metric == "num_vect_loops" or metric == "num_sve_loops":
+output-bmk-results.py(111): return default_threshold[(change_kind,metric,mode)]
+output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
+output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
+output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
+DEBUG: checking symbol.improvement : 483.xalancbmk,[.] _ZNK10xalanc_1_85XPath11executeMoreEPNS_9XalanNodeEN9__gnu_cxx17__normal_iteratorIPKiSt6vectorIiSaIiEEEERNS_21XPathExecutionContextE : size=0% (threshold=10%)
+output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
+ --- modulename: output-bmk-results, funcname: is_entry_improvement
+output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
+output-bmk-results.py(177): return (100 - result > threshold)
+output-bmk-results.py(217): continue
+output-bmk-results.py(208): for index, row in out_df.iterrows():
output-bmk-results.py(237): f_out.close()
--- modulename: output-bmk-results, funcname: close
output-bmk-results.py(29): if not self.outf: