onsuccess: #41: 1: [TCWG CI] https://ci.linaro.org/job/tcwg_bmk-code_size-spec2k6--llvm-aarch64-master-O2_LTO-build/41/

Results :
  | # reset_artifacts:
  | -10
  | # build_bmk_llvm:
  | -3
  | # benchmark -- -O2_LTO:
  | 1

check_regression status : 0

1 files changed, 0 insertions, 150 deletions

diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log
index f2654f5..a5b8a4a 100644
--- a/notify/output-bmk-results.log
+++ b/notify/output-bmk-results.log
@@ -153,21 +153,6 @@ 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 exe.regression : 410.bwaves,bwaves_base.default : size=0% (threshold=1%)
-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 exe.regression : 429.mcf,mcf_base.default : size=0% (threshold=1%)
 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
@@ -198,66 +183,6 @@ 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 exe.regression : 434.zeusmp,zeusmp_base.default : size=0% (threshold=1%)
-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 exe.regression : 435.gromacs,gromacs_base.default : size=0% (threshold=1%)
-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 exe.regression : 436.cactusADM,cactusADM_base.default : size=0% (threshold=1%)
-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 exe.regression : 437.leslie3d,leslie3d_base.default : size=0% (threshold=1%)
-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 exe.regression : 444.namd,namd_base.default : size=0% (threshold=1%)
 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
@@ -531,21 +456,6 @@ 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 exe.improvement : 410.bwaves,bwaves_base.default : size=0% (threshold=1%)
-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 exe.improvement : 429.mcf,mcf_base.default : size=0% (threshold=1%)
 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
@@ -576,66 +486,6 @@ 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 exe.improvement : 434.zeusmp,zeusmp_base.default : size=0% (threshold=1%)
-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 exe.improvement : 435.gromacs,gromacs_base.default : size=0% (threshold=1%)
-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 exe.improvement : 436.cactusADM,cactusADM_base.default : size=0% (threshold=1%)
-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 exe.improvement : 437.leslie3d,leslie3d_base.default : size=0% (threshold=1%)
-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 exe.improvement : 444.namd,namd_base.default : size=0% (threshold=1%)
 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