onsuccess: #14: 1: [TCWG CI] https://ci.linaro.org/job/tcwg_bmk-code_speed-cpu2017rate--llvm-arm-master-O2-build/14/

Results :
  | # reset_artifacts:
  | -10
  | # build_bmk_llvm:
  | -3
  | # benchmark -- -O2_marm:
  | 1

check_regression status : 0

5 files changed, 32 insertions, 106 deletions

diff --git a/notify/jira/comment-template.txt b/notify/jira/comment-template.txt
index d57a077..b920989 100644
--- a/notify/jira/comment-template.txt
+++ b/notify/jira/comment-template.txt
@@ -1,3 +1,3 @@
 [LLVM-651]
 No change
-Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-cpu2017rate--llvm-arm-master-O2-build/13/artifact/artifacts/notify/mail-body.txt/*view*/
+Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-cpu2017rate--llvm-arm-master-O2-build/14/artifact/artifacts/notify/mail-body.txt/*view*/
diff --git a/notify/mail-body.txt b/notify/mail-body.txt
index 4d006c5..0bd461f 100644
--- a/notify/mail-body.txt
+++ b/notify/mail-body.txt
@@ -2,7 +2,13 @@ Dear contributor, our automatic CI has detected problems related to your patch(e
 
 In CI config tcwg_bmk-code_speed-cpu2017rate/llvm-arm-master-O2 after:
 
-  | baseline build
+  | 212 commits in llvm
+  | 355a5d5e6dc0 [libc][NFC] Use new approach based on types to code memmove
+  | d827865e9f77 Recommit "[AArch64][TTI] Cost model FADD/FSUB/FNEG""
+  | b983b44d36dd [CodeGen] Add Pre-commit tests for D146988
+  | 9041e1fa29a4 [DAG] Peek through zext/trunc in haveNoCommonBitsSet.
+  | 25ed0c2c33a3 [X86] Improve test coverage for Issue #62014
+  | ... and 207 more commits in llvm
 
 No change
 
@@ -21,6 +27,6 @@ This benchmarking CI is work-in-progress, and we welcome feedback and suggestion
 -----------------8<--------------------------8<--------------------------8<--------------------------
 The information below can be used to reproduce a debug environment:
 
-Current build   : https://ci.linaro.org/job/tcwg_bmk-code_speed-cpu2017rate--llvm-arm-master-O2-build/13/artifact/artifacts
-Reference build : artifact/artifacts
+Current build   : https://ci.linaro.org/job/tcwg_bmk-code_speed-cpu2017rate--llvm-arm-master-O2-build/14/artifact/artifacts
+Reference build : https://ci.linaro.org/job/tcwg_bmk-code_speed-cpu2017rate--llvm-arm-master-O2-build/13/artifact/artifacts
 
diff --git a/notify/mail-recipients.txt b/notify/mail-recipients.txt
index aa219ef..56b65bb 100644
--- a/notify/mail-recipients.txt
+++ b/notify/mail-recipients.txt
@@ -1 +1 @@
-bcc:tcwg-validation@linaro.org
+bcc:tcwg-validation@linaro.org,maxim.kuvyrkov@linaro.org
diff --git a/notify/mail-subject.txt b/notify/mail-subject.txt
index 16cd610..87e5a4f 100644
--- a/notify/mail-subject.txt
+++ b/notify/mail-subject.txt
@@ -1 +1 @@
-[Linaro-TCWG-CI] baseline build: No change
+[Linaro-TCWG-CI] 212 commits in llvm: No change
diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log
index 1397f5d..af385e5 100644
--- a/notify/output-bmk-results.log
+++ b/notify/output-bmk-results.log
@@ -113,46 +113,6 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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 : 500.perlbench_r,perlbench_r_base.default : sample=0% (threshold=3%)
-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(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(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 : 502.gcc_r,cpugcc_r_base.default : sample=0% (threshold=3%)
-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(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(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 : 505.mcf_r,mcf_r_base.default : sample=0% (threshold=3%)
 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
@@ -333,7 +293,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (threshold=3%)
+DEBUG: checking exe.regression : 531.deepsjeng_r,deepsjeng_r_base.default : sample=2% (threshold=3%)
 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:
@@ -413,7 +373,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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 : 557.xz_r,xz_r_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.regression : 557.xz_r,xz_r_base.default : sample=3% (threshold=3%)
 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:
@@ -451,46 +411,6 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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 : 500.perlbench_r,perlbench_r_base.default : sample=0% (threshold=3%)
-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(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(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 : 502.gcc_r,cpugcc_r_base.default : sample=0% (threshold=3%)
-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(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(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 : 505.mcf_r,mcf_r_base.default : sample=0% (threshold=3%)
 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
@@ -671,7 +591,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (threshold=3%)
+DEBUG: checking exe.improvement : 531.deepsjeng_r,deepsjeng_r_base.default : sample=2% (threshold=3%)
 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:
@@ -751,7 +671,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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 : 557.xz_r,xz_r_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.improvement : 557.xz_r,xz_r_base.default : sample=3% (threshold=3%)
 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:
@@ -789,7 +709,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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:
@@ -829,7 +749,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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,[.] cost_compare : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 505.mcf_r,[.] cost_compare : 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:
@@ -849,7 +769,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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,[.] replace_weaker_arc : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 505.mcf_r,[.] replace_weaker_arc : 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:
@@ -869,7 +789,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (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:
@@ -889,7 +809,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (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:
@@ -909,7 +829,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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,[.] _Z15FindFirstRemovePy : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z4makeP7state_ti : 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:
@@ -929,7 +849,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (threshold=15%)
+DEBUG: checking symbol.regression : 531.deepsjeng_r,[.] _Z15FindFirstRemovePy : sample=6% (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:
@@ -969,7 +889,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (threshold=15%)
+DEBUG: checking symbol.regression : 557.xz_r,[.] lzma_lzma_optimum_normal : sample=11% (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:
@@ -1027,7 +947,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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:
@@ -1067,7 +987,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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,[.] cost_compare : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 505.mcf_r,[.] cost_compare : 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:
@@ -1087,7 +1007,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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,[.] replace_weaker_arc : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 505.mcf_r,[.] replace_weaker_arc : 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:
@@ -1107,7 +1027,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (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:
@@ -1127,7 +1047,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=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:
@@ -1147,7 +1067,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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,[.] _Z15FindFirstRemovePy : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z4makeP7state_ti : 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:
@@ -1167,7 +1087,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 531.deepsjeng_r,[.] _Z15FindFirstRemovePy : sample=6% (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:
@@ -1207,7 +1127,7 @@ output-bmk-results.py(110):     return default_threshold[(change_kind,metric,mod
 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=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 557.xz_r,[.] lzma_lzma_optimum_normal : sample=11% (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: