onsuccess: #143: 1: [TCWG CI] https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/143/

Results :
  | # reset_artifacts:
  | -10
  | # build_abe binutils:
  | -9
  | # build_abe stage1 -- --set gcc_override_configure=--with-mode=arm --set gcc_override_configure=--disable-libsanitizer:
  | -8
  | # build_abe linux:
  | -7
  | # build_abe glibc:
  | -6
  | # build_abe stage2 -- --set gcc_override_configure=--with-mode=arm --set gcc_override_configure=--disable-libsanitizer:
  | -5
  | # benchmark -- -O3_marm:
  | 1

check_regression status : 0

6 files changed, 447 insertions, 371 deletions

diff --git a/notify/any.skipped b/notify/any.skipped
index be2e8790..ae995856 100644
--- a/notify/any.skipped
+++ b/notify/any.skipped
@@ -1,5 +1,5 @@
-437.leslie3d,leslie3d_base.default,slowed down by 20% - 437.leslie3d,slowed down by 20% - 437.leslie3d - from 11936 to 14311 perf samples

-456.hmmer,hmmer_base.default,slowed down by 7% - 456.hmmer,slowed down by 7% - 456.hmmer - from 7597 to 8158 perf samples

-437.leslie3d,[.] fluxk_,slowed down by 25% - 437.leslie3d:[.] fluxk_,slowed down by 25% - 437.leslie3d:[.] fluxk_ - from 2472 to 3101 perf samples

-437.leslie3d,[.] fluxj_,slowed down by 32% - 437.leslie3d:[.] fluxj_,slowed down by 32% - 437.leslie3d:[.] fluxj_ - from 2285 to 3025 perf samples

-437.leslie3d,[.] fluxi_,slowed down by 24% - 437.leslie3d:[.] fluxi_,slowed down by 24% - 437.leslie3d:[.] fluxi_ - from 1987 to 2466 perf samples

+437.leslie3d,leslie3d_base.default,sped up by 16% - 437.leslie3d,sped up by 16% - 437.leslie3d - from 14311 to 11964 perf samples

+456.hmmer,hmmer_base.default,sped up by 6% - 456.hmmer,sped up by 6% - 456.hmmer - from 8158 to 7658 perf samples

+437.leslie3d,[.] fluxk_,sped up by 21% - 437.leslie3d:[.] fluxk_,sped up by 21% - 437.leslie3d:[.] fluxk_ - from 3101 to 2454 perf samples

+437.leslie3d,[.] fluxj_,sped up by 23% - 437.leslie3d:[.] fluxj_,sped up by 23% - 437.leslie3d:[.] fluxj_ - from 3025 to 2318 perf samples

+437.leslie3d,[.] fluxi_,sped up by 18% - 437.leslie3d:[.] fluxi_,sped up by 18% - 437.leslie3d:[.] fluxi_ - from 2466 to 2017 perf samples

diff --git a/notify/jira/comment-template.txt b/notify/jira/comment-template.txt
index c2c7029b..bd8a1a6f 100644
--- a/notify/jira/comment-template.txt
+++ b/notify/jira/comment-template.txt
@@ -1,3 +1,3 @@
 [GNU-689]
 No change
-Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/142/artifact/artifacts/notify/mail-body.txt/*view*/
+Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/143/artifact/artifacts/notify/mail-body.txt/*view*/
diff --git a/notify/mail-body.txt b/notify/mail-body.txt
index 47364023..2a1150ab 100644
--- a/notify/mail-body.txt
+++ b/notify/mail-body.txt
@@ -2,13 +2,25 @@ Dear contributor, our automatic CI has detected problems related to your patch(e
 
 In CI config tcwg_bmk-code_speed-spec2k6/gnu-arm-master-O3 after:
 
-  | 178 commits in gcc
-  | 4a15bb61394 RISCV test infrastructure for d / v / zfh extensions
-  | 1c4ca595d81 RISC-V: Support FP trunc auto-vectorization
-  | 12039c9f40a Fix pr111456-1.c for targets that use unsigned char by default
-  | 8e6757b30d0 __atomic_test_and_set: Fall back to library, not non-atomic code
-  | dd0c42cd37d testsuite: Require thread-fence for 29_atomics/atomic_flag/cons/value_init.cc
-  | ... and 173 more commits in gcc
+  | 94 commits in binutils,gcc,glibc
+  | 2654f77d142 [gdb/testsuite] Add nopie to gdb.base/unwind-on-each-insn-amd64-2.exp
+  | be92e534283 Automatic date update in version.in
+  | 28bc495137b config/debuginfod.m4: Add check for libdebuginfod 0.188
+  | 4befded43f5 nm: heap-buffer-overflow at elfcode.h:1507 in bfd_elf64_slurp_symbol_table
+  | 58bceb18274 x86: prefer VEX encodings over EVEX ones when possible
+  | ... and 59 more commits in binutils
+  | 4f41d497c9e libgfortran: Use __builtin_unreachable() not -Wno-stringop-overflow to silence warning
+  | 73cd319b72c vec.h: Make some ops work with non-trivially copy constructible and/or destructible types
+  | 46595ce72e5 Remove some unused poly_int variables
+  | 0d9b4e8647f Daily bump.
+  | 88d79b9b03e tree-optimization/111614 - missing convert in undistribute_bitref_for_vector
+  | ... and 13 more commits in gcc
+  | 29d4591b07 hurd: Drop REG_GSFS and REG_ESDS from x86_64's ucontext
+  | 964d15a007 elf: Fix compile error with -DNDEBUG [BZ #18755]
+  | a6e8ceb3bb MIPS: Add relocation types
+  | f34dc13ad6 MIPS: Add new section type SHT_MIPS_ABIFLAGS
+  | c07ae7cca4 MIPS: Add ELF file header flags
+  | ... and 7 more commits in glibc
 
 No change
 
@@ -28,6 +40,6 @@ 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-spec2k6--gnu-arm-master-O3-build/142/artifact/artifacts
-Reference build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/141/artifact/artifacts
+Current build   : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/143/artifact/artifacts
+Reference build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/142/artifact/artifacts
 
diff --git a/notify/mail-recipients.txt b/notify/mail-recipients.txt
index 56b65bbc..aa219efd 100644
--- a/notify/mail-recipients.txt
+++ b/notify/mail-recipients.txt
@@ -1 +1 @@
-bcc:tcwg-validation@linaro.org,maxim.kuvyrkov@linaro.org
+bcc:tcwg-validation@linaro.org
diff --git a/notify/mail-subject.txt b/notify/mail-subject.txt
index 7d01c952..ba9168ec 100644
--- a/notify/mail-subject.txt
+++ b/notify/mail-subject.txt
@@ -1 +1 @@
-[Linaro-TCWG-CI] 178 commits in gcc: No change on arm O3
+[Linaro-TCWG-CI] 94 commits in binutils,gcc,glibc: No change on arm O3
diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log
index 83bf7588..c5df3f1f 100644
--- a/notify/output-bmk-results.log
+++ b/notify/output-bmk-results.log
@@ -120,7 +120,7 @@ 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 : 400.perlbench,perlbench_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.regression : 400.perlbench,perlbench_base.default : sample=1% (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:
@@ -147,7 +147,7 @@ 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 : 401.bzip2,bzip2_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.regression : 401.bzip2,bzip2_base.default : sample=1% (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:
@@ -390,42 +390,12 @@ 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 : 437.leslie3d,leslie3d_base.default : sample=-20% (threshold=9.870000000000001%)
+DEBUG: checking exe.regression : 437.leslie3d,leslie3d_base.default : sample=16% (threshold=9.93%)
 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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
- --- modulename: output-bmk-results, funcname: get_short_long_diag
-output-bmk-results.py(113):     bmk = row["benchmark"]
-output-bmk-results.py(114):     rel_value = row["rel_" + metric]
-output-bmk-results.py(115):     prev_value = row[metric + "_x"]
-output-bmk-results.py(116):     curr_value = row[metric + "_y"]
-output-bmk-results.py(118):     if metric == "sample":
-output-bmk-results.py(119):         if curr_value == 999999999:
-output-bmk-results.py(122):         elif curr_value == 888888888:
-output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
-output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
-output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
-output-bmk-results.py(144):     suffix = ""
-output-bmk-results.py(145):     if metric == "sample":
-output-bmk-results.py(146):         prefix_regression = "slowed down by"
-output-bmk-results.py(147):         prefix_improvement = "sped up by"
-output-bmk-results.py(148):         suffix = "perf samples"
-output-bmk-results.py(159):     if sym_type=="symbol":
-output-bmk-results.py(162):       item=bmk
-output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
-output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
-output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
-output-bmk-results.py(231):         if metric == "sample" \
-output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
-output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
-output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
-output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
- --- modulename: output-bmk-results, funcname: write_csv
-output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
-output-bmk-results.py(43):     self.csvwriter.writerow(arr)
-output-bmk-results.py(236):             continue
+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
@@ -501,7 +471,7 @@ 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 : 447.dealII,dealII_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.regression : 447.dealII,dealII_base.default : sample=1% (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:
@@ -609,42 +579,12 @@ 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 : 456.hmmer,hmmer_base.default : sample=-7% (threshold=3.87%)
+DEBUG: checking exe.regression : 456.hmmer,hmmer_base.default : sample=6% (threshold=3.87%)
 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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
- --- modulename: output-bmk-results, funcname: get_short_long_diag
-output-bmk-results.py(113):     bmk = row["benchmark"]
-output-bmk-results.py(114):     rel_value = row["rel_" + metric]
-output-bmk-results.py(115):     prev_value = row[metric + "_x"]
-output-bmk-results.py(116):     curr_value = row[metric + "_y"]
-output-bmk-results.py(118):     if metric == "sample":
-output-bmk-results.py(119):         if curr_value == 999999999:
-output-bmk-results.py(122):         elif curr_value == 888888888:
-output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
-output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
-output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
-output-bmk-results.py(144):     suffix = ""
-output-bmk-results.py(145):     if metric == "sample":
-output-bmk-results.py(146):         prefix_regression = "slowed down by"
-output-bmk-results.py(147):         prefix_improvement = "sped up by"
-output-bmk-results.py(148):         suffix = "perf samples"
-output-bmk-results.py(159):     if sym_type=="symbol":
-output-bmk-results.py(162):       item=bmk
-output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
-output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
-output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
-output-bmk-results.py(231):         if metric == "sample" \
-output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
-output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
-output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
-output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
- --- modulename: output-bmk-results, funcname: write_csv
-output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
-output-bmk-results.py(43):     self.csvwriter.writerow(arr)
-output-bmk-results.py(236):             continue
+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
@@ -747,7 +687,7 @@ 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 : 464.h264ref,h264ref_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.regression : 464.h264ref,h264ref_base.default : sample=-1% (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:
@@ -774,7 +714,7 @@ 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 : 465.tonto,tonto_base.default : sample=1% (threshold=3%)
+DEBUG: checking exe.regression : 465.tonto,tonto_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:
@@ -828,7 +768,7 @@ 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 : 471.omnetpp,omnetpp_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.regression : 471.omnetpp,omnetpp_base.default : sample=1% (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:
@@ -882,7 +822,7 @@ 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 : 481.wrf,wrf_base.default : sample=1% (threshold=3%)
+DEBUG: checking exe.regression : 481.wrf,wrf_base.default : sample=-1% (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:
@@ -981,7 +921,7 @@ 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 : 400.perlbench,perlbench_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.improvement : 400.perlbench,perlbench_base.default : sample=1% (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:
@@ -1008,7 +948,7 @@ 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 : 401.bzip2,bzip2_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.improvement : 401.bzip2,bzip2_base.default : sample=1% (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:
@@ -1251,12 +1191,42 @@ 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 : 437.leslie3d,leslie3d_base.default : sample=-20% (threshold=9.870000000000001%)
+DEBUG: checking exe.improvement : 437.leslie3d,leslie3d_base.default : sample=16% (threshold=9.93%)
 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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
+ --- modulename: output-bmk-results, funcname: get_short_long_diag
+output-bmk-results.py(113):     bmk = row["benchmark"]
+output-bmk-results.py(114):     rel_value = row["rel_" + metric]
+output-bmk-results.py(115):     prev_value = row[metric + "_x"]
+output-bmk-results.py(116):     curr_value = row[metric + "_y"]
+output-bmk-results.py(118):     if metric == "sample":
+output-bmk-results.py(119):         if curr_value == 999999999:
+output-bmk-results.py(122):         elif curr_value == 888888888:
+output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
+output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
+output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
+output-bmk-results.py(144):     suffix = ""
+output-bmk-results.py(145):     if metric == "sample":
+output-bmk-results.py(146):         prefix_regression = "slowed down by"
+output-bmk-results.py(147):         prefix_improvement = "sped up by"
+output-bmk-results.py(148):         suffix = "perf samples"
+output-bmk-results.py(159):     if sym_type=="symbol":
+output-bmk-results.py(162):       item=bmk
+output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
+output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
+output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
+output-bmk-results.py(231):         if metric == "sample" \
+output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
+output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
+output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
+output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
+ --- modulename: output-bmk-results, funcname: write_csv
+output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
+output-bmk-results.py(43):     self.csvwriter.writerow(arr)
+output-bmk-results.py(236):             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
@@ -1332,7 +1302,7 @@ 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 : 447.dealII,dealII_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.improvement : 447.dealII,dealII_base.default : sample=1% (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:
@@ -1440,12 +1410,42 @@ 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 : 456.hmmer,hmmer_base.default : sample=-7% (threshold=3.87%)
+DEBUG: checking exe.improvement : 456.hmmer,hmmer_base.default : sample=6% (threshold=3.87%)
 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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
+ --- modulename: output-bmk-results, funcname: get_short_long_diag
+output-bmk-results.py(113):     bmk = row["benchmark"]
+output-bmk-results.py(114):     rel_value = row["rel_" + metric]
+output-bmk-results.py(115):     prev_value = row[metric + "_x"]
+output-bmk-results.py(116):     curr_value = row[metric + "_y"]
+output-bmk-results.py(118):     if metric == "sample":
+output-bmk-results.py(119):         if curr_value == 999999999:
+output-bmk-results.py(122):         elif curr_value == 888888888:
+output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
+output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
+output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
+output-bmk-results.py(144):     suffix = ""
+output-bmk-results.py(145):     if metric == "sample":
+output-bmk-results.py(146):         prefix_regression = "slowed down by"
+output-bmk-results.py(147):         prefix_improvement = "sped up by"
+output-bmk-results.py(148):         suffix = "perf samples"
+output-bmk-results.py(159):     if sym_type=="symbol":
+output-bmk-results.py(162):       item=bmk
+output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
+output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
+output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
+output-bmk-results.py(231):         if metric == "sample" \
+output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
+output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
+output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
+output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
+ --- modulename: output-bmk-results, funcname: write_csv
+output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
+output-bmk-results.py(43):     self.csvwriter.writerow(arr)
+output-bmk-results.py(236):             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
@@ -1548,7 +1548,7 @@ 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 : 464.h264ref,h264ref_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.improvement : 464.h264ref,h264ref_base.default : sample=-1% (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:
@@ -1575,7 +1575,7 @@ 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 : 465.tonto,tonto_base.default : sample=1% (threshold=3%)
+DEBUG: checking exe.improvement : 465.tonto,tonto_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:
@@ -1629,7 +1629,7 @@ 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 : 471.omnetpp,omnetpp_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.improvement : 471.omnetpp,omnetpp_base.default : sample=1% (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:
@@ -1683,7 +1683,7 @@ 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 : 481.wrf,wrf_base.default : sample=1% (threshold=3%)
+DEBUG: checking exe.improvement : 481.wrf,wrf_base.default : sample=-1% (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:
@@ -1782,7 +1782,7 @@ 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 : 400.perlbench,[.] S_regmatch : sample=-4% (threshold=15%)
+DEBUG: checking symbol.regression : 400.perlbench,[.] S_regmatch : sample=4% (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:
@@ -1804,7 +1804,7 @@ 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 : 400.perlbench,libc.so.6 : sample=6% (threshold=15%)
+DEBUG: checking symbol.regression : 400.perlbench,libc.so.6 : 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:
@@ -1831,7 +1831,7 @@ 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 : 401.bzip2,[.] mainSort : sample=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] mainSort : sample=0% (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:
@@ -1858,7 +1858,7 @@ 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 : 401.bzip2,[.] fallbackSort : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] mainGtU.part.0 : 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:
@@ -1885,7 +1885,7 @@ 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 : 401.bzip2,[.] mainGtU.part.0 : sample=4% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] fallbackSort : sample=0% (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:
@@ -1912,7 +1912,7 @@ 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 : 401.bzip2,[.] BZ2_compressBlock : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] BZ2_compressBlock : 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:
@@ -1939,7 +1939,7 @@ 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 : 401.bzip2,[.] BZ2_decompress : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] BZ2_decompress : sample=4% (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:
@@ -1966,7 +1966,7 @@ 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 : 403.gcc,[.] reg_is_remote_constant_p : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 403.gcc,libc.so.6 : 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:
@@ -1993,7 +1993,7 @@ 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 : 403.gcc,libc.so.6 : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 403.gcc,[.] reg_is_remote_constant_p : 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:
@@ -2020,7 +2020,7 @@ 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 : 403.gcc,[.] memset : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 403.gcc,[.] memset : sample=-2% (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:
@@ -2074,7 +2074,7 @@ 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 : 410.bwaves,[.] bi_cgstab_block_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 410.bwaves,[.] bi_cgstab_block_ : sample=-2% (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:
@@ -2101,7 +2101,7 @@ 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 : 416.gamess,[.] forms_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 416.gamess,[.] forms_ : sample=-2% (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:
@@ -2128,7 +2128,7 @@ 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 : 416.gamess,[.] twotff_ : sample=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 416.gamess,[.] twotff_ : sample=0% (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:
@@ -2182,7 +2182,7 @@ 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 : 416.gamess,[.] xyzint_ : sample=3% (threshold=15%)
+DEBUG: checking symbol.regression : 429.mcf,[.] 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:
@@ -2209,7 +2209,7 @@ 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 : 429.mcf,[.] primal_bea_mpp : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 429.mcf,[.] refresh_potential : 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:
@@ -2236,7 +2236,7 @@ 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 : 429.mcf,[.] refresh_potential : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] mult_su3_na : sample=2% (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:
@@ -2263,7 +2263,7 @@ 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 : 433.milc,[.] mult_su3_na : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] mult_su3_nn : 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:
@@ -2290,7 +2290,7 @@ 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 : 433.milc,[.] mult_su3_nn : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] mult_su3_mat_vec : sample=4% (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:
@@ -2317,7 +2317,7 @@ 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 : 433.milc,[.] mult_su3_mat_vec : sample=-4% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] mult_adj_su3_mat_vec : sample=2% (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:
@@ -2344,7 +2344,7 @@ 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 : 433.milc,[.] mult_adj_su3_mat_vec : sample=-3% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] uncompress_anti_hermitian : sample=-5% (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:
@@ -2371,7 +2371,7 @@ 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 : 433.milc,[.] uncompress_anti_hermitian : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 434.zeusmp,[.] hsmoc_ : sample=0% (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:
@@ -2398,7 +2398,7 @@ 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 : 434.zeusmp,[.] hsmoc_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 434.zeusmp,[.] lorentz_ : 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:
@@ -2425,7 +2425,7 @@ 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 : 434.zeusmp,[.] lorentz_ : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 435.gromacs,[.] inl1130_ : 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:
@@ -2452,7 +2452,7 @@ 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 : 435.gromacs,[.] inl1130_ : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 435.gromacs,[.] search_neighbours : 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:
@@ -2479,7 +2479,7 @@ 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 : 435.gromacs,[.] search_neighbours : sample=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 436.cactusADM,[.] bench_staggeredleapfrog2_ : sample=0% (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:
@@ -2506,7 +2506,7 @@ 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 : 436.cactusADM,[.] bench_staggeredleapfrog2_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxk_ : sample=21% (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:
@@ -2533,42 +2533,12 @@ 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 : 437.leslie3d,[.] fluxk_ : sample=-25% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxj_ : sample=23% (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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
- --- modulename: output-bmk-results, funcname: get_short_long_diag
-output-bmk-results.py(113):     bmk = row["benchmark"]
-output-bmk-results.py(114):     rel_value = row["rel_" + metric]
-output-bmk-results.py(115):     prev_value = row[metric + "_x"]
-output-bmk-results.py(116):     curr_value = row[metric + "_y"]
-output-bmk-results.py(118):     if metric == "sample":
-output-bmk-results.py(119):         if curr_value == 999999999:
-output-bmk-results.py(122):         elif curr_value == 888888888:
-output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
-output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
-output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
-output-bmk-results.py(144):     suffix = ""
-output-bmk-results.py(145):     if metric == "sample":
-output-bmk-results.py(146):         prefix_regression = "slowed down by"
-output-bmk-results.py(147):         prefix_improvement = "sped up by"
-output-bmk-results.py(148):         suffix = "perf samples"
-output-bmk-results.py(159):     if sym_type=="symbol":
-output-bmk-results.py(160):       item=bmk+":"+row["symbol"]
-output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
-output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
-output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
-output-bmk-results.py(231):         if metric == "sample" \
-output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
-output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
-output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
-output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
- --- modulename: output-bmk-results, funcname: write_csv
-output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
-output-bmk-results.py(43):     self.csvwriter.writerow(arr)
-output-bmk-results.py(236):             continue
+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
@@ -2590,42 +2560,12 @@ 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 : 437.leslie3d,[.] fluxj_ : sample=-32% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxi_ : sample=18% (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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
- --- modulename: output-bmk-results, funcname: get_short_long_diag
-output-bmk-results.py(113):     bmk = row["benchmark"]
-output-bmk-results.py(114):     rel_value = row["rel_" + metric]
-output-bmk-results.py(115):     prev_value = row[metric + "_x"]
-output-bmk-results.py(116):     curr_value = row[metric + "_y"]
-output-bmk-results.py(118):     if metric == "sample":
-output-bmk-results.py(119):         if curr_value == 999999999:
-output-bmk-results.py(122):         elif curr_value == 888888888:
-output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
-output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
-output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
-output-bmk-results.py(144):     suffix = ""
-output-bmk-results.py(145):     if metric == "sample":
-output-bmk-results.py(146):         prefix_regression = "slowed down by"
-output-bmk-results.py(147):         prefix_improvement = "sped up by"
-output-bmk-results.py(148):         suffix = "perf samples"
-output-bmk-results.py(159):     if sym_type=="symbol":
-output-bmk-results.py(160):       item=bmk+":"+row["symbol"]
-output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
-output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
-output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
-output-bmk-results.py(231):         if metric == "sample" \
-output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
-output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
-output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
-output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
- --- modulename: output-bmk-results, funcname: write_csv
-output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
-output-bmk-results.py(43):     self.csvwriter.writerow(arr)
-output-bmk-results.py(236):             continue
+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
@@ -2647,42 +2587,12 @@ 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 : 437.leslie3d,[.] fluxi_ : sample=-24% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] extrapi_ : sample=8% (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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
- --- modulename: output-bmk-results, funcname: get_short_long_diag
-output-bmk-results.py(113):     bmk = row["benchmark"]
-output-bmk-results.py(114):     rel_value = row["rel_" + metric]
-output-bmk-results.py(115):     prev_value = row[metric + "_x"]
-output-bmk-results.py(116):     curr_value = row[metric + "_y"]
-output-bmk-results.py(118):     if metric == "sample":
-output-bmk-results.py(119):         if curr_value == 999999999:
-output-bmk-results.py(122):         elif curr_value == 888888888:
-output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
-output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
-output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
-output-bmk-results.py(144):     suffix = ""
-output-bmk-results.py(145):     if metric == "sample":
-output-bmk-results.py(146):         prefix_regression = "slowed down by"
-output-bmk-results.py(147):         prefix_improvement = "sped up by"
-output-bmk-results.py(148):         suffix = "perf samples"
-output-bmk-results.py(159):     if sym_type=="symbol":
-output-bmk-results.py(160):       item=bmk+":"+row["symbol"]
-output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
-output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
-output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
-output-bmk-results.py(231):         if metric == "sample" \
-output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
-output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
-output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
-output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
- --- modulename: output-bmk-results, funcname: write_csv
-output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
-output-bmk-results.py(43):     self.csvwriter.writerow(arr)
-output-bmk-results.py(236):             continue
+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
@@ -2704,7 +2614,7 @@ 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 : 437.leslie3d,[.] extrapi_ : sample=-9% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] extrapj_ : sample=5% (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:
@@ -2731,7 +2641,7 @@ 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 : 437.leslie3d,[.] extrapj_ : sample=-7% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] extrapk_ : sample=4% (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:
@@ -2812,7 +2722,7 @@ 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 : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : sample=0% (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:
@@ -2893,7 +2803,34 @@ 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 : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : 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:
+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 : 445.gobmk,[.] do_play_move : 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:
@@ -2920,7 +2857,7 @@ 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 : 445.gobmk,[.] do_play_move : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 445.gobmk,[.] fastlib : sample=-10% (threshold=15.03%)
 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:
@@ -2947,7 +2884,7 @@ 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 : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : sample=5% (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:
@@ -2974,7 +2911,7 @@ 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 : 447.dealII,[.] _ZNK12SparseMatrixIdE5vmultI6VectorIdES3_EEvRT_RKT0_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZNK12SparseMatrixIdE5vmultI6VectorIdES3_EEvRT_RKT0_ : sample=-2% (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:
@@ -3001,7 +2938,7 @@ 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 : 447.dealII,libstdc++.so.6.0.33 : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,libstdc++.so.6.0.33 : sample=-4% (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:
@@ -3028,7 +2965,7 @@ 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 : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : 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:
@@ -3055,7 +2992,7 @@ 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 : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : sample=-4% (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:
@@ -3082,7 +3019,7 @@ 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 : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : 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:
@@ -3109,7 +3046,7 @@ 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 : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : sample=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : sample=5% (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:
@@ -3136,7 +3073,7 @@ 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 : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : sample=3% (threshold=15%)
+DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : 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:
@@ -3163,7 +3100,7 @@ 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 : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=-7% (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:
@@ -3190,7 +3127,7 @@ 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 : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=4% (threshold=15%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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:
@@ -3217,7 +3154,7 @@ 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 : 453.povray,[.] _ZN3povL24All_Sphere_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=2% (threshold=15%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL24All_Sphere_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=0% (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:
@@ -3244,7 +3181,7 @@ 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 : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=2% (threshold=15.39%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=2% (threshold=15.419999999999998%)
 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:
@@ -3298,7 +3235,7 @@ 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 : 454.calculix,[.] DVdot33 : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 454.calculix,[.] DVdot33 : sample=0% (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:
@@ -3325,7 +3262,7 @@ 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 : 456.hmmer,[.] P7Viterbi : sample=-8% (threshold=15%)
+DEBUG: checking symbol.regression : 456.hmmer,[.] P7Viterbi : 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:
@@ -3352,7 +3289,7 @@ 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 : 458.sjeng,[.] std_eval : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 458.sjeng,[.] std_eval : sample=-2% (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:
@@ -3379,7 +3316,7 @@ 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 : 458.sjeng,[.] setup_attackers : sample=-4% (threshold=15%)
+DEBUG: checking symbol.regression : 458.sjeng,[.] gen : 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:
@@ -3406,7 +3343,7 @@ 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 : 458.sjeng,[.] gen : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 458.sjeng,[.] setup_attackers : sample=9% (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:
@@ -3433,7 +3370,7 @@ 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 : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : 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:
@@ -3514,7 +3451,7 @@ 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 : 459.GemsFDTD,[.] __update_mod_MOD_updateh_homo : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __update_mod_MOD_updateh_homo : sample=0% (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:
@@ -3541,7 +3478,7 @@ 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 : 459.GemsFDTD,[.] __update_mod_MOD_updatee_homo : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __update_mod_MOD_updatee_homo : sample=0% (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:
@@ -3568,7 +3505,7 @@ 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 : 462.libquantum,[.] quantum_toffoli : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_toffoli : 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:
@@ -3595,7 +3532,7 @@ 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 : 462.libquantum,[.] quantum_sigma_x : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : 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:
@@ -3649,7 +3586,7 @@ 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 : 464.h264ref,[.] SetupFastFullPelSearch : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 464.h264ref,[.] SetupFastFullPelSearch : sample=-2% (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:
@@ -3676,7 +3613,7 @@ 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 : 464.h264ref,libc.so.6 : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 464.h264ref,libc.so.6 : sample=2% (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:
@@ -3703,7 +3640,7 @@ 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 : 464.h264ref,[.] __memcpy_neon : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 464.h264ref,[.] __memcpy_neon : sample=2% (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:
@@ -3752,7 +3689,7 @@ 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 : 465.tonto,libm.so.6 : sample=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,libm.so.6 : 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:
@@ -3779,7 +3716,7 @@ 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 : 465.tonto,[.] __shell2_module_MOD_make_ft_1 : sample=2% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,[.] __shell2_module_MOD_make_ft_1 : sample=-2% (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:
@@ -3794,19 +3731,14 @@ output-bmk-results.py(99):        spec_thr = get_specific_thresholds(metric, mod
 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(62):         return np.nan
 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(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 symbol.regression : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.0 : sample=8% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,[.] __sincosl : sample=-2% (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:
@@ -3821,14 +3753,19 @@ output-bmk-results.py(99):        spec_thr = get_specific_thresholds(metric, mod
 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(62):         return np.nan
+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(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(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 : 465.tonto,[.] __sincosl : sample=5% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.0 : sample=0% (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:
@@ -3850,7 +3787,7 @@ 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 : 465.tonto,[.] __cexpl : sample=-12% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,[.] __cexpl : sample=8% (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:
@@ -3904,7 +3841,7 @@ 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 : 471.omnetpp,[.] _ZN12cMessageHeap8getFirstEv : sample=-6% (threshold=15%)
+DEBUG: checking symbol.regression : 471.omnetpp,[.] _ZN12cMessageHeap8getFirstEv : 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:
@@ -3926,7 +3863,7 @@ 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 : 471.omnetpp,libc.so.6 : sample=2% (threshold=15%)
+DEBUG: checking symbol.regression : 471.omnetpp,libc.so.6 : sample=-7% (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:
@@ -3953,7 +3890,7 @@ 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 : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : sample=2% (threshold=15%)
+DEBUG: checking symbol.regression : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : 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:
@@ -4034,7 +3971,7 @@ 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 : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : sample=2% (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:
@@ -4061,7 +3998,7 @@ 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 : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : 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:
@@ -4088,7 +4025,7 @@ 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 : 481.wrf,[.] __module_small_step_em_MOD_advance_w : sample=-3% (threshold=15%)
+DEBUG: checking symbol.regression : 481.wrf,[.] __module_small_step_em_MOD_advance_w : sample=4% (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:
@@ -4115,7 +4052,7 @@ 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 : 481.wrf,libm.so.6 : sample=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 481.wrf,libm.so.6 : sample=0% (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:
@@ -4130,14 +4067,19 @@ output-bmk-results.py(99):        spec_thr = get_specific_thresholds(metric, mod
 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(62):         return np.nan
+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(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(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 : 481.wrf,libc.so.6 : sample=2% (threshold=15%)
+DEBUG: checking symbol.regression : 481.wrf,[.] __module_small_step_em_MOD_advance_uv : sample=-13% (threshold=20.1%)
 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:
@@ -4164,7 +4106,7 @@ 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 : 482.sphinx3,[.] vector_gautbl_eval_logs3 : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 482.sphinx3,[.] vector_gautbl_eval_logs3 : sample=0% (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:
@@ -4191,7 +4133,7 @@ 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 : 482.sphinx3,[.] mgau_eval : sample=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 482.sphinx3,[.] mgau_eval : sample=0% (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:
@@ -4236,7 +4178,7 @@ 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 : 400.perlbench,[.] S_regmatch : sample=-4% (threshold=15%)
+DEBUG: checking symbol.improvement : 400.perlbench,[.] S_regmatch : sample=4% (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:
@@ -4258,7 +4200,7 @@ 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 : 400.perlbench,libc.so.6 : sample=6% (threshold=15%)
+DEBUG: checking symbol.improvement : 400.perlbench,libc.so.6 : 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:
@@ -4285,7 +4227,7 @@ 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 : 401.bzip2,[.] mainSort : sample=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] mainSort : sample=0% (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:
@@ -4312,7 +4254,7 @@ 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 : 401.bzip2,[.] fallbackSort : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] mainGtU.part.0 : 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:
@@ -4339,7 +4281,7 @@ 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 : 401.bzip2,[.] mainGtU.part.0 : sample=4% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] fallbackSort : sample=0% (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:
@@ -4366,7 +4308,7 @@ 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 : 401.bzip2,[.] BZ2_compressBlock : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] BZ2_compressBlock : 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:
@@ -4393,7 +4335,7 @@ 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 : 401.bzip2,[.] BZ2_decompress : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] BZ2_decompress : sample=4% (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:
@@ -4420,7 +4362,7 @@ 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 : 403.gcc,[.] reg_is_remote_constant_p : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 403.gcc,libc.so.6 : 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:
@@ -4447,7 +4389,7 @@ 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 : 403.gcc,libc.so.6 : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 403.gcc,[.] reg_is_remote_constant_p : 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:
@@ -4474,7 +4416,7 @@ 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 : 403.gcc,[.] memset : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 403.gcc,[.] memset : sample=-2% (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:
@@ -4528,7 +4470,7 @@ 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 : 410.bwaves,[.] bi_cgstab_block_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 410.bwaves,[.] bi_cgstab_block_ : sample=-2% (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:
@@ -4555,7 +4497,7 @@ 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 : 416.gamess,[.] forms_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 416.gamess,[.] forms_ : sample=-2% (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:
@@ -4582,7 +4524,7 @@ 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 : 416.gamess,[.] twotff_ : sample=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 416.gamess,[.] twotff_ : sample=0% (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:
@@ -4636,7 +4578,7 @@ 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 : 416.gamess,[.] xyzint_ : sample=3% (threshold=15%)
+DEBUG: checking symbol.improvement : 429.mcf,[.] 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:
@@ -4663,7 +4605,7 @@ 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 : 429.mcf,[.] primal_bea_mpp : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 429.mcf,[.] refresh_potential : 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:
@@ -4690,7 +4632,7 @@ 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 : 429.mcf,[.] refresh_potential : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] mult_su3_na : sample=2% (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:
@@ -4717,7 +4659,7 @@ 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 : 433.milc,[.] mult_su3_na : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] mult_su3_nn : 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:
@@ -4744,7 +4686,7 @@ 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 : 433.milc,[.] mult_su3_nn : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] mult_su3_mat_vec : sample=4% (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:
@@ -4771,7 +4713,7 @@ 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 : 433.milc,[.] mult_su3_mat_vec : sample=-4% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] mult_adj_su3_mat_vec : sample=2% (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:
@@ -4798,7 +4740,7 @@ 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 : 433.milc,[.] mult_adj_su3_mat_vec : sample=-3% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] uncompress_anti_hermitian : sample=-5% (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:
@@ -4825,7 +4767,7 @@ 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 : 433.milc,[.] uncompress_anti_hermitian : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 434.zeusmp,[.] hsmoc_ : sample=0% (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:
@@ -4852,7 +4794,7 @@ 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 : 434.zeusmp,[.] hsmoc_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 434.zeusmp,[.] lorentz_ : 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:
@@ -4879,7 +4821,7 @@ 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 : 434.zeusmp,[.] lorentz_ : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 435.gromacs,[.] inl1130_ : 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:
@@ -4906,7 +4848,7 @@ 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 : 435.gromacs,[.] inl1130_ : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 435.gromacs,[.] search_neighbours : 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:
@@ -4933,7 +4875,7 @@ 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 : 435.gromacs,[.] search_neighbours : sample=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 436.cactusADM,[.] bench_staggeredleapfrog2_ : sample=0% (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:
@@ -4960,12 +4902,42 @@ 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 : 436.cactusADM,[.] bench_staggeredleapfrog2_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxk_ : sample=21% (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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
+ --- modulename: output-bmk-results, funcname: get_short_long_diag
+output-bmk-results.py(113):     bmk = row["benchmark"]
+output-bmk-results.py(114):     rel_value = row["rel_" + metric]
+output-bmk-results.py(115):     prev_value = row[metric + "_x"]
+output-bmk-results.py(116):     curr_value = row[metric + "_y"]
+output-bmk-results.py(118):     if metric == "sample":
+output-bmk-results.py(119):         if curr_value == 999999999:
+output-bmk-results.py(122):         elif curr_value == 888888888:
+output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
+output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
+output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
+output-bmk-results.py(144):     suffix = ""
+output-bmk-results.py(145):     if metric == "sample":
+output-bmk-results.py(146):         prefix_regression = "slowed down by"
+output-bmk-results.py(147):         prefix_improvement = "sped up by"
+output-bmk-results.py(148):         suffix = "perf samples"
+output-bmk-results.py(159):     if sym_type=="symbol":
+output-bmk-results.py(160):       item=bmk+":"+row["symbol"]
+output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
+output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
+output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
+output-bmk-results.py(231):         if metric == "sample" \
+output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
+output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
+output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
+output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
+ --- modulename: output-bmk-results, funcname: write_csv
+output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
+output-bmk-results.py(43):     self.csvwriter.writerow(arr)
+output-bmk-results.py(236):             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
@@ -4987,12 +4959,42 @@ 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 : 437.leslie3d,[.] fluxk_ : sample=-25% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxj_ : sample=23% (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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
+ --- modulename: output-bmk-results, funcname: get_short_long_diag
+output-bmk-results.py(113):     bmk = row["benchmark"]
+output-bmk-results.py(114):     rel_value = row["rel_" + metric]
+output-bmk-results.py(115):     prev_value = row[metric + "_x"]
+output-bmk-results.py(116):     curr_value = row[metric + "_y"]
+output-bmk-results.py(118):     if metric == "sample":
+output-bmk-results.py(119):         if curr_value == 999999999:
+output-bmk-results.py(122):         elif curr_value == 888888888:
+output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
+output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
+output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
+output-bmk-results.py(144):     suffix = ""
+output-bmk-results.py(145):     if metric == "sample":
+output-bmk-results.py(146):         prefix_regression = "slowed down by"
+output-bmk-results.py(147):         prefix_improvement = "sped up by"
+output-bmk-results.py(148):         suffix = "perf samples"
+output-bmk-results.py(159):     if sym_type=="symbol":
+output-bmk-results.py(160):       item=bmk+":"+row["symbol"]
+output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
+output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
+output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
+output-bmk-results.py(231):         if metric == "sample" \
+output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
+output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
+output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
+output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
+ --- modulename: output-bmk-results, funcname: write_csv
+output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
+output-bmk-results.py(43):     self.csvwriter.writerow(arr)
+output-bmk-results.py(236):             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
@@ -5014,12 +5016,42 @@ 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 : 437.leslie3d,[.] fluxj_ : sample=-32% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxi_ : sample=18% (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(227):         percent_change, short_diag, long_diag = get_short_long_diag(row, metric, sym_type, change_kind)
+ --- modulename: output-bmk-results, funcname: get_short_long_diag
+output-bmk-results.py(113):     bmk = row["benchmark"]
+output-bmk-results.py(114):     rel_value = row["rel_" + metric]
+output-bmk-results.py(115):     prev_value = row[metric + "_x"]
+output-bmk-results.py(116):     curr_value = row[metric + "_y"]
+output-bmk-results.py(118):     if metric == "sample":
+output-bmk-results.py(119):         if curr_value == 999999999:
+output-bmk-results.py(122):         elif curr_value == 888888888:
+output-bmk-results.py(125):         elif prev_value == 999999999 and curr_value == 888888888:
+output-bmk-results.py(128):         elif prev_value == 888888888 and curr_value < 888888888:
+output-bmk-results.py(131):         elif prev_value == 999999999 and curr_value < 888888888:
+output-bmk-results.py(144):     suffix = ""
+output-bmk-results.py(145):     if metric == "sample":
+output-bmk-results.py(146):         prefix_regression = "slowed down by"
+output-bmk-results.py(147):         prefix_improvement = "sped up by"
+output-bmk-results.py(148):         suffix = "perf samples"
+output-bmk-results.py(159):     if sym_type=="symbol":
+output-bmk-results.py(160):       item=bmk+":"+row["symbol"]
+output-bmk-results.py(164):     short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100))
+output-bmk-results.py(165):     long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix)
+output-bmk-results.py(166):     return abs(rel_value - 100), short_diag, long_diag
+output-bmk-results.py(231):         if metric == "sample" \
+output-bmk-results.py(232):           and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \
+output-bmk-results.py(233):           and row['symbol_md5sum_x'] != "-1" \
+output-bmk-results.py(234):           and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e":
+output-bmk-results.py(235):             f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag))
+ --- modulename: output-bmk-results, funcname: write_csv
+output-bmk-results.py(41):     if not self.predicate or not self.csvwriter:
+output-bmk-results.py(43):     self.csvwriter.writerow(arr)
+output-bmk-results.py(236):             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
@@ -5041,7 +5073,7 @@ 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 : 437.leslie3d,[.] fluxi_ : sample=-24% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] extrapi_ : sample=8% (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:
@@ -5068,7 +5100,7 @@ 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 : 437.leslie3d,[.] extrapi_ : sample=-9% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] extrapj_ : sample=5% (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:
@@ -5095,7 +5127,7 @@ 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 : 437.leslie3d,[.] extrapj_ : sample=-7% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] extrapk_ : sample=4% (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:
@@ -5176,7 +5208,7 @@ 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 : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : sample=0% (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:
@@ -5257,7 +5289,34 @@ 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 : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : 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:
+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 : 445.gobmk,[.] do_play_move : 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:
@@ -5284,7 +5343,7 @@ 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 : 445.gobmk,[.] do_play_move : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 445.gobmk,[.] fastlib : sample=-10% (threshold=15.03%)
 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:
@@ -5311,7 +5370,7 @@ 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 : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : sample=5% (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:
@@ -5338,7 +5397,7 @@ 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 : 447.dealII,[.] _ZNK12SparseMatrixIdE5vmultI6VectorIdES3_EEvRT_RKT0_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZNK12SparseMatrixIdE5vmultI6VectorIdES3_EEvRT_RKT0_ : sample=-2% (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:
@@ -5365,7 +5424,7 @@ 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 : 447.dealII,libstdc++.so.6.0.33 : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,libstdc++.so.6.0.33 : sample=-4% (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:
@@ -5392,7 +5451,7 @@ 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 : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : 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:
@@ -5419,7 +5478,7 @@ 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 : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : sample=-4% (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:
@@ -5446,7 +5505,7 @@ 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 : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : 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:
@@ -5473,7 +5532,7 @@ 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 : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : sample=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : sample=5% (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:
@@ -5500,7 +5559,7 @@ 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 : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : sample=3% (threshold=15%)
+DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : 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:
@@ -5527,7 +5586,7 @@ 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 : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=-7% (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:
@@ -5554,7 +5613,7 @@ 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 : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=4% (threshold=15%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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:
@@ -5581,7 +5640,7 @@ 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 : 453.povray,[.] _ZN3povL24All_Sphere_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL24All_Sphere_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=0% (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:
@@ -5608,7 +5667,7 @@ 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 : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=2% (threshold=15.39%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=2% (threshold=15.419999999999998%)
 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:
@@ -5662,7 +5721,7 @@ 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 : 454.calculix,[.] DVdot33 : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 454.calculix,[.] DVdot33 : sample=0% (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:
@@ -5689,7 +5748,7 @@ 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 : 456.hmmer,[.] P7Viterbi : sample=-8% (threshold=15%)
+DEBUG: checking symbol.improvement : 456.hmmer,[.] P7Viterbi : 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:
@@ -5716,7 +5775,7 @@ 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 : 458.sjeng,[.] std_eval : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 458.sjeng,[.] std_eval : sample=-2% (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:
@@ -5743,7 +5802,7 @@ 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 : 458.sjeng,[.] setup_attackers : sample=-4% (threshold=15%)
+DEBUG: checking symbol.improvement : 458.sjeng,[.] gen : 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:
@@ -5770,7 +5829,7 @@ 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 : 458.sjeng,[.] gen : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 458.sjeng,[.] setup_attackers : sample=9% (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:
@@ -5797,7 +5856,7 @@ 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 : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : 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:
@@ -5878,7 +5937,7 @@ 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 : 459.GemsFDTD,[.] __update_mod_MOD_updateh_homo : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __update_mod_MOD_updateh_homo : sample=0% (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:
@@ -5905,7 +5964,7 @@ 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 : 459.GemsFDTD,[.] __update_mod_MOD_updatee_homo : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __update_mod_MOD_updatee_homo : sample=0% (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:
@@ -5932,7 +5991,7 @@ 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 : 462.libquantum,[.] quantum_toffoli : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_toffoli : 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:
@@ -5959,7 +6018,7 @@ 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 : 462.libquantum,[.] quantum_sigma_x : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : 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:
@@ -6013,7 +6072,7 @@ 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 : 464.h264ref,[.] SetupFastFullPelSearch : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 464.h264ref,[.] SetupFastFullPelSearch : sample=-2% (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:
@@ -6040,7 +6099,7 @@ 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 : 464.h264ref,libc.so.6 : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 464.h264ref,libc.so.6 : sample=2% (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:
@@ -6067,7 +6126,7 @@ 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 : 464.h264ref,[.] __memcpy_neon : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 464.h264ref,[.] __memcpy_neon : sample=2% (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:
@@ -6116,7 +6175,7 @@ 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 : 465.tonto,libm.so.6 : sample=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,libm.so.6 : 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:
@@ -6143,7 +6202,7 @@ 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 : 465.tonto,[.] __shell2_module_MOD_make_ft_1 : sample=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,[.] __shell2_module_MOD_make_ft_1 : sample=-2% (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:
@@ -6158,19 +6217,14 @@ output-bmk-results.py(99):        spec_thr = get_specific_thresholds(metric, mod
 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(62):         return np.nan
 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(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 symbol.improvement : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.0 : sample=8% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,[.] __sincosl : sample=-2% (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:
@@ -6185,14 +6239,19 @@ output-bmk-results.py(99):        spec_thr = get_specific_thresholds(metric, mod
 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(62):         return np.nan
+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(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(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 : 465.tonto,[.] __sincosl : sample=5% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.0 : sample=0% (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:
@@ -6214,7 +6273,7 @@ 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 : 465.tonto,[.] __cexpl : sample=-12% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,[.] __cexpl : sample=8% (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:
@@ -6268,7 +6327,7 @@ 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 : 471.omnetpp,[.] _ZN12cMessageHeap8getFirstEv : sample=-6% (threshold=15%)
+DEBUG: checking symbol.improvement : 471.omnetpp,[.] _ZN12cMessageHeap8getFirstEv : 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:
@@ -6290,7 +6349,7 @@ 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 : 471.omnetpp,libc.so.6 : sample=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 471.omnetpp,libc.so.6 : sample=-7% (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:
@@ -6317,7 +6376,7 @@ 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 : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : sample=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : 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:
@@ -6398,7 +6457,7 @@ 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 : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : sample=2% (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:
@@ -6425,7 +6484,7 @@ 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 : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : 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:
@@ -6452,7 +6511,7 @@ 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 : 481.wrf,[.] __module_small_step_em_MOD_advance_w : sample=-3% (threshold=15%)
+DEBUG: checking symbol.improvement : 481.wrf,[.] __module_small_step_em_MOD_advance_w : sample=4% (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:
@@ -6479,7 +6538,7 @@ 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 : 481.wrf,libm.so.6 : sample=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 481.wrf,libm.so.6 : sample=0% (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:
@@ -6494,14 +6553,19 @@ output-bmk-results.py(99):        spec_thr = get_specific_thresholds(metric, mod
 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(62):         return np.nan
+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(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(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 : 481.wrf,libc.so.6 : sample=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 481.wrf,[.] __module_small_step_em_MOD_advance_uv : sample=-13% (threshold=20.1%)
 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:
@@ -6528,7 +6592,7 @@ 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 : 482.sphinx3,[.] vector_gautbl_eval_logs3 : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 482.sphinx3,[.] vector_gautbl_eval_logs3 : sample=0% (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:
@@ -6555,7 +6619,7 @@ 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 : 482.sphinx3,[.] mgau_eval : sample=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 482.sphinx3,[.] mgau_eval : sample=0% (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: