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authorTCWG BuildSlave <tcwg-buildslave@linaro.org>2023-10-02 04:06:14 +0000
committerTCWG BuildSlave <tcwg-buildslave@linaro.org>2023-10-02 10:34:45 +0000
commit58b4941c0f7b54825f64d47323c86f142d85d267 (patch)
treef5455108a390133e92160046a52d64fa3f706eb8 /notify
parent58fef403cb02f20822a6751480df3ca3215e5468 (diff)
onsuccess: #146: 1: [TCWG CI] https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/146/
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
Diffstat (limited to 'notify')
-rw-r--r--notify/any.skipped5
-rw-r--r--notify/jira/comment-template.txt2
-rw-r--r--notify/mail-body.txt23
-rw-r--r--notify/mail-recipients.txt2
-rw-r--r--notify/mail-subject.txt2
-rw-r--r--notify/output-bmk-results.log622
6 files changed, 252 insertions, 404 deletions
diff --git a/notify/any.skipped b/notify/any.skipped
index 7724d61a..a3a0ff11 100644
--- a/notify/any.skipped
+++ b/notify/any.skipped
@@ -1,4 +1 @@
-437.leslie3d,leslie3d_base.default,slowed down by 19% - 437.leslie3d,slowed down by 19% - 437.leslie3d - from 11964 to 14250 perf samples
-437.leslie3d,[.] fluxk_,slowed down by 27% - 437.leslie3d:[.] fluxk_,slowed down by 27% - 437.leslie3d:[.] fluxk_ - from 2454 to 3107 perf samples
-437.leslie3d,[.] fluxj_,slowed down by 31% - 437.leslie3d:[.] fluxj_,slowed down by 31% - 437.leslie3d:[.] fluxj_ - from 2318 to 3033 perf samples
-437.leslie3d,[.] fluxi_,slowed down by 23% - 437.leslie3d:[.] fluxi_,slowed down by 23% - 437.leslie3d:[.] fluxi_ - from 2017 to 2474 perf samples
+471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged,slowed down by 17% - 471.omnetpp:[.] _ZN5cGate7deliverEP8cMessaged,slowed down by 17% - 471.omnetpp:[.] _ZN5cGate7deliverEP8cMessaged - from 530 to 618 perf samples
diff --git a/notify/jira/comment-template.txt b/notify/jira/comment-template.txt
index 2c13ecd1..ad8a478b 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/145/artifact/artifacts/notify/mail-body.txt/*view*/
+Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/146/artifact/artifacts/notify/mail-body.txt/*view*/
diff --git a/notify/mail-body.txt b/notify/mail-body.txt
index 80a7a166..c525c3bb 100644
--- a/notify/mail-body.txt
+++ b/notify/mail-body.txt
@@ -2,18 +2,13 @@ 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:
- | 39 commits in binutils,glibc
- | 1d8f691da90 Automatic date update in version.in
- | 23b5268986d Automatic date update in version.in
- | 4ebfd53de03 Support the NO_COLOR environment variable
- | 2677a57064a tc-microblaze.c - int compare for X_add_number.
- | 54fd15eef72 bfd: microblaze: Fix bug in TLSTPREL Relocation
- | ... and 29 more commits in binutils
- | d90b43a4ed x86: Add support for AVX10 preset and vec size in cpu-features
- | 5f913506f4 resolv: Fix a comment typo in __resolv_conf_load
- | 99b4327a55 Remove unused -DRESOLVER getaddrinfo build flag
- | cdbf8229bb C2x scanf %wN, %wfN support
- | aea4ddb871 test-container: Use nftw instead of rm -rf
+ | 50 commits in gcc
+ | e7a23bbf1f9 Daily bump.
+ | 5f3da480e75 Fix typo in add_options_for_riscv_v, add_options_for_riscv_zfh, add_options_for_riscv_d .
+ | 86b2ffc0b83 rtl-optimization/110939 Really fix narrow comparison of memory and constant
+ | e4a4b8e983b RISC-V:Optimize the MASK opt generation
+ | f416a3fdbee Make riscv_vector::legitimize_move adjust SRC in the caller.
+ | ... and 45 more commits in gcc
No change
@@ -32,6 +27,6 @@ This benchmarking CI is work-in-progress, and we welcome feedback and suggestion
-----------------8<--------------------------8<--------------------------8<--------------------------
The information below can be used to reproduce a debug environment:
-Current build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/145/artifact/artifacts
-Reference build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/143/artifact/artifacts
+Current build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/146/artifact/artifacts
+Reference build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/145/artifact/artifacts
diff --git a/notify/mail-recipients.txt b/notify/mail-recipients.txt
index aa219efd..56b65bbc 100644
--- a/notify/mail-recipients.txt
+++ b/notify/mail-recipients.txt
@@ -1 +1 @@
-bcc:tcwg-validation@linaro.org
+bcc:tcwg-validation@linaro.org,maxim.kuvyrkov@linaro.org
diff --git a/notify/mail-subject.txt b/notify/mail-subject.txt
index d02423b8..1a4ad8a1 100644
--- a/notify/mail-subject.txt
+++ b/notify/mail-subject.txt
@@ -1 +1 @@
-[Linaro-TCWG-CI] 39 commits in binutils,glibc: No change
+[Linaro-TCWG-CI] 50 commits in gcc: No change
diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log
index b848d371..fb9dc60e 100644
--- a/notify/output-bmk-results.log
+++ b/notify/output-bmk-results.log
@@ -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=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:
@@ -228,7 +228,7 @@ 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 : 416.gamess,gamess_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.regression : 416.gamess,gamess_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:
@@ -309,7 +309,7 @@ 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 : 434.zeusmp,zeusmp_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.regression : 434.zeusmp,zeusmp_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=-19% (threshold=9.99%)
+DEBUG: checking exe.regression : 437.leslie3d,leslie3d_base.default : sample=-1% (threshold=10.05%)
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
@@ -474,7 +444,7 @@ 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 : 445.gobmk,gobmk_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.regression : 445.gobmk,gobmk_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:
@@ -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=-1% (threshold=3%)
+DEBUG: checking exe.regression : 447.dealII,dealII_base.default : sample=-3% (threshold=3%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -555,7 +525,7 @@ 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 : 453.povray,povray_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.regression : 453.povray,povray_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:
@@ -609,7 +579,7 @@ 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 : 456.hmmer,hmmer_base.default : sample=0% (threshold=3.9000000000000004%)
+DEBUG: checking exe.regression : 456.hmmer,hmmer_base.default : sample=-3% (threshold=3.9000000000000004%)
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:
@@ -636,7 +606,7 @@ 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 : 458.sjeng,sjeng_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.regression : 458.sjeng,sjeng_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:
@@ -663,7 +633,7 @@ 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 : 459.GemsFDTD,GemsFDTD_base.default : sample=1% (threshold=3%)
+DEBUG: checking exe.regression : 459.GemsFDTD,GemsFDTD_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:
@@ -744,7 +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:
@@ -798,7 +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=0% (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:
@@ -852,7 +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=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:
@@ -879,7 +849,7 @@ 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 : 482.sphinx3,sphinx_livepretend_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.regression : 482.sphinx3,sphinx_livepretend_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:
@@ -978,7 +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=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:
@@ -1059,7 +1029,7 @@ 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 : 416.gamess,gamess_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.improvement : 416.gamess,gamess_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:
@@ -1140,7 +1110,7 @@ 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 : 434.zeusmp,zeusmp_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.improvement : 434.zeusmp,zeusmp_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:
@@ -1221,7 +1191,7 @@ 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 : 437.leslie3d,leslie3d_base.default : sample=-19% (threshold=9.99%)
+DEBUG: checking exe.improvement : 437.leslie3d,leslie3d_base.default : sample=-1% (threshold=10.05%)
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:
@@ -1275,7 +1245,7 @@ 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 : 445.gobmk,gobmk_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.improvement : 445.gobmk,gobmk_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:
@@ -1302,7 +1272,7 @@ 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=-1% (threshold=3%)
+DEBUG: checking exe.improvement : 447.dealII,dealII_base.default : sample=-3% (threshold=3%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -1356,7 +1326,7 @@ 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 : 453.povray,povray_base.default : sample=-1% (threshold=3%)
+DEBUG: checking exe.improvement : 453.povray,povray_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:
@@ -1410,7 +1380,7 @@ 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 : 456.hmmer,hmmer_base.default : sample=0% (threshold=3.9000000000000004%)
+DEBUG: checking exe.improvement : 456.hmmer,hmmer_base.default : sample=-3% (threshold=3.9000000000000004%)
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:
@@ -1437,7 +1407,7 @@ 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 : 458.sjeng,sjeng_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.improvement : 458.sjeng,sjeng_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:
@@ -1464,7 +1434,7 @@ 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 : 459.GemsFDTD,GemsFDTD_base.default : sample=1% (threshold=3%)
+DEBUG: checking exe.improvement : 459.GemsFDTD,GemsFDTD_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:
@@ -1545,7 +1515,7 @@ 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:
@@ -1599,7 +1569,7 @@ 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=0% (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:
@@ -1653,7 +1623,7 @@ 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=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:
@@ -1680,7 +1650,7 @@ 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 : 482.sphinx3,sphinx_livepretend_base.default : sample=0% (threshold=3%)
+DEBUG: checking exe.improvement : 482.sphinx3,sphinx_livepretend_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:
@@ -1774,7 +1744,7 @@ 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=-15% (threshold=15%)
+DEBUG: checking symbol.regression : 400.perlbench,libc.so.6 : sample=13% (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:
@@ -1855,7 +1825,7 @@ 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=1% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] fallbackSort : 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:
@@ -1882,7 +1852,7 @@ 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=2% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] BZ2_compressBlock : 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:
@@ -1909,7 +1879,7 @@ 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=-3% (threshold=15%)
+DEBUG: checking symbol.regression : 401.bzip2,[.] BZ2_decompress : 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:
@@ -1936,7 +1906,7 @@ 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=-2% (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:
@@ -1963,7 +1933,7 @@ 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=3% (threshold=15%)
+DEBUG: checking symbol.regression : 403.gcc,[.] reg_is_remote_constant_p : 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:
@@ -1990,7 +1960,7 @@ 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=-3% (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:
@@ -2044,7 +2014,7 @@ 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=1% (threshold=15%)
+DEBUG: checking symbol.regression : 410.bwaves,[.] bi_cgstab_block_ : 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:
@@ -2071,7 +2041,7 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 416.gamess,[.] forms_ : 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:
@@ -2098,7 +2068,7 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 416.gamess,[.] twotff_ : 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:
@@ -2125,7 +2095,7 @@ 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,[.] dirfck_ : sample=4% (threshold=15%)
+DEBUG: checking symbol.regression : 416.gamess,[.] dirfck_ : 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:
@@ -2152,7 +2122,7 @@ 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=-4% (threshold=15%)
+DEBUG: checking symbol.regression : 416.gamess,[.] xyzint_ : 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:
@@ -2233,7 +2203,7 @@ 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_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:
@@ -2260,7 +2230,7 @@ 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=4% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] mult_su3_nn : 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:
@@ -2287,7 +2257,7 @@ 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=-2% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] mult_su3_mat_vec : 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:
@@ -2314,7 +2284,7 @@ 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,[.] mult_adj_su3_mat_vec : 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:
@@ -2341,7 +2311,7 @@ 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=4% (threshold=15%)
+DEBUG: checking symbol.regression : 433.milc,[.] uncompress_anti_hermitian : 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:
@@ -2368,7 +2338,7 @@ 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,[.] hsmoc_ : 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:
@@ -2395,7 +2365,7 @@ 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=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:
@@ -2422,7 +2392,7 @@ 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,[.] inl1130_ : 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:
@@ -2449,7 +2419,7 @@ 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=-7% (threshold=15%)
+DEBUG: checking symbol.regression : 435.gromacs,[.] search_neighbours : 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:
@@ -2503,42 +2473,12 @@ 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=-27% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxk_ : 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:
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
@@ -2560,42 +2500,12 @@ 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=-31% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxj_ : 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:
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
@@ -2617,42 +2527,12 @@ 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=-23% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxi_ : 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(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
@@ -2674,7 +2554,7 @@ 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=-8% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] extrapi_ : 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:
@@ -2701,7 +2581,7 @@ 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=-4% (threshold=15%)
+DEBUG: checking symbol.regression : 437.leslie3d,[.] extrapj_ : 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:
@@ -2890,7 +2770,7 @@ 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=4% (threshold=15%)
+DEBUG: checking symbol.regression : 445.gobmk,[.] do_play_move : sample=-10% (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:
@@ -2917,7 +2797,7 @@ 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,[.] fastlib : sample=0% (threshold=15.03%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : sample=-11% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -2944,7 +2824,7 @@ 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=-6% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZNK12SparseMatrixIdE5vmultI6VectorIdES3_EEvRT_RKT0_ : 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:
@@ -2971,7 +2851,7 @@ 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,libstdc++.so.6.0.33 : 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:
@@ -2998,7 +2878,7 @@ 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=7% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : 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:
@@ -3025,34 +2905,7 @@ 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%)
-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 : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : sample=5% (threshold=15%)
+DEBUG: checking symbol.regression : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : 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:
@@ -3106,7 +2959,7 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : 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:
@@ -3133,7 +2986,7 @@ 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=6% (threshold=15%)
+DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : 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:
@@ -3160,7 +3013,7 @@ 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=-9% (threshold=15%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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:
@@ -3187,7 +3040,7 @@ 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=0% (threshold=15%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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:
@@ -3214,7 +3067,7 @@ 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=10% (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:
@@ -3241,7 +3094,7 @@ 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=4% (threshold=15.39%)
+DEBUG: checking symbol.regression : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=-7% (threshold=15.39%)
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:
@@ -3295,7 +3148,7 @@ 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=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:
@@ -3322,7 +3175,7 @@ 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=0% (threshold=15%)
+DEBUG: checking symbol.regression : 456.hmmer,[.] P7Viterbi : 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:
@@ -3349,7 +3202,7 @@ 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:
@@ -3403,7 +3256,7 @@ 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=-3% (threshold=15%)
+DEBUG: checking symbol.regression : 458.sjeng,[.] setup_attackers : 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:
@@ -3457,7 +3310,7 @@ 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,[.] __nft_mod_MOD_nft_store : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __nft_mod_MOD_nft_store : 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:
@@ -3484,7 +3337,7 @@ 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_upmlupdateh : sample=1% (threshold=15%)
+DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdateh : 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:
@@ -3511,7 +3364,7 @@ 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=-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:
@@ -3538,7 +3391,7 @@ 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:
@@ -3565,7 +3418,7 @@ 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:
@@ -3592,7 +3445,7 @@ 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=-3% (threshold=15%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : 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:
@@ -3619,7 +3472,7 @@ 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_cnot : sample=-3% (threshold=15%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_cnot : 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:
@@ -3646,7 +3499,7 @@ 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=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:
@@ -3727,7 +3580,7 @@ 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,[.] FastFullPelBlockMotionSearch : sample=11% (threshold=15%)
+DEBUG: checking symbol.regression : 464.h264ref,[.] FastFullPelBlockMotionSearch : 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:
@@ -3749,7 +3602,7 @@ 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=0% (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:
@@ -3776,7 +3629,7 @@ 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=-1% (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:
@@ -3791,19 +3644,14 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,[.] __sincosl : 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:
@@ -3818,14 +3666,19 @@ 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=1% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.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:
@@ -3847,7 +3700,7 @@ 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=-4% (threshold=15%)
+DEBUG: checking symbol.regression : 465.tonto,[.] __cexpl : sample=11% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics:
@@ -3901,7 +3754,7 @@ 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:
@@ -3923,7 +3776,7 @@ 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=3% (threshold=15%)
+DEBUG: checking symbol.regression : 471.omnetpp,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:
@@ -3950,12 +3803,42 @@ 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.regression : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : sample=8% (threshold=15%)
+DEBUG: checking symbol.regression : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : sample=-17% (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(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
@@ -3977,7 +3860,7 @@ 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,[.] _ZN6wayobj10makebound2EPiiS0_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.regression : 473.astar,[.] _ZN6wayobj10makebound2EPiiS0_ : 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:
@@ -4058,7 +3941,7 @@ 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=3% (threshold=15%)
+DEBUG: checking symbol.regression : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : 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:
@@ -4085,7 +3968,7 @@ 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=2% (threshold=15%)
+DEBUG: checking symbol.regression : 481.wrf,[.] __module_small_step_em_MOD_advance_w : 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:
@@ -4100,19 +3983,14 @@ 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 : 481.wrf,libm.so.6 : sample=-5% (threshold=15%)
+DEBUG: checking symbol.regression : 481.wrf,libc.so.6 : 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:
@@ -4127,14 +4005,19 @@ 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,libm.so.6 : 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:
@@ -4161,7 +4044,7 @@ 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=0% (threshold=15%)
+DEBUG: checking symbol.regression : 482.sphinx3,[.] vector_gautbl_eval_logs3 : 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:
@@ -4188,7 +4071,7 @@ 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=-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:
@@ -4255,7 +4138,7 @@ 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=-15% (threshold=15%)
+DEBUG: checking symbol.improvement : 400.perlbench,libc.so.6 : sample=13% (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:
@@ -4336,7 +4219,7 @@ 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=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] fallbackSort : 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:
@@ -4363,7 +4246,7 @@ 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=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] BZ2_compressBlock : 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:
@@ -4390,7 +4273,7 @@ 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=-3% (threshold=15%)
+DEBUG: checking symbol.improvement : 401.bzip2,[.] BZ2_decompress : 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:
@@ -4417,7 +4300,7 @@ 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=-2% (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:
@@ -4444,7 +4327,7 @@ 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=3% (threshold=15%)
+DEBUG: checking symbol.improvement : 403.gcc,[.] reg_is_remote_constant_p : 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:
@@ -4471,7 +4354,7 @@ 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=-3% (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:
@@ -4525,7 +4408,7 @@ 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=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 410.bwaves,[.] bi_cgstab_block_ : 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:
@@ -4552,7 +4435,7 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 416.gamess,[.] forms_ : 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:
@@ -4579,7 +4462,7 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 416.gamess,[.] twotff_ : 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:
@@ -4606,7 +4489,7 @@ 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,[.] dirfck_ : sample=4% (threshold=15%)
+DEBUG: checking symbol.improvement : 416.gamess,[.] dirfck_ : 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:
@@ -4633,7 +4516,7 @@ 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=-4% (threshold=15%)
+DEBUG: checking symbol.improvement : 416.gamess,[.] xyzint_ : 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:
@@ -4714,7 +4597,7 @@ 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_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:
@@ -4741,7 +4624,7 @@ 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=4% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] mult_su3_nn : 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:
@@ -4768,7 +4651,7 @@ 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=-2% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] mult_su3_mat_vec : 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:
@@ -4795,7 +4678,7 @@ 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,[.] mult_adj_su3_mat_vec : 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:
@@ -4822,7 +4705,7 @@ 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=4% (threshold=15%)
+DEBUG: checking symbol.improvement : 433.milc,[.] uncompress_anti_hermitian : 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:
@@ -4849,7 +4732,7 @@ 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,[.] hsmoc_ : 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:
@@ -4876,7 +4759,7 @@ 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=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:
@@ -4903,7 +4786,7 @@ 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,[.] inl1130_ : 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:
@@ -4930,7 +4813,7 @@ 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=-7% (threshold=15%)
+DEBUG: checking symbol.improvement : 435.gromacs,[.] search_neighbours : 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:
@@ -4984,7 +4867,7 @@ 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,[.] fluxk_ : sample=-27% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxk_ : 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:
@@ -5011,7 +4894,7 @@ 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,[.] fluxj_ : sample=-31% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxj_ : 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:
@@ -5038,7 +4921,7 @@ 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=-23% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxi_ : 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:
@@ -5065,7 +4948,7 @@ 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=-8% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] extrapi_ : 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:
@@ -5092,7 +4975,7 @@ 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=-4% (threshold=15%)
+DEBUG: checking symbol.improvement : 437.leslie3d,[.] extrapj_ : 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:
@@ -5281,7 +5164,7 @@ 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=4% (threshold=15%)
+DEBUG: checking symbol.improvement : 445.gobmk,[.] do_play_move : sample=-10% (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:
@@ -5308,7 +5191,7 @@ 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,[.] fastlib : sample=0% (threshold=15.03%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : sample=-11% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -5335,7 +5218,7 @@ 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=-6% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZNK12SparseMatrixIdE5vmultI6VectorIdES3_EEvRT_RKT0_ : 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:
@@ -5362,7 +5245,7 @@ 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,libstdc++.so.6.0.33 : 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:
@@ -5389,7 +5272,7 @@ 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=7% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : 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:
@@ -5416,34 +5299,7 @@ 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%)
-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 : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : sample=5% (threshold=15%)
+DEBUG: checking symbol.improvement : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : 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:
@@ -5497,7 +5353,7 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : 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:
@@ -5524,7 +5380,7 @@ 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=6% (threshold=15%)
+DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : 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:
@@ -5551,7 +5407,7 @@ 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=-9% (threshold=15%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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:
@@ -5578,7 +5434,7 @@ 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=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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:
@@ -5605,7 +5461,7 @@ 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=10% (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:
@@ -5632,7 +5488,7 @@ 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=4% (threshold=15.39%)
+DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=-7% (threshold=15.39%)
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:
@@ -5686,7 +5542,7 @@ 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=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:
@@ -5713,7 +5569,7 @@ 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=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 456.hmmer,[.] P7Viterbi : 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:
@@ -5740,7 +5596,7 @@ 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:
@@ -5794,7 +5650,7 @@ 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=-3% (threshold=15%)
+DEBUG: checking symbol.improvement : 458.sjeng,[.] setup_attackers : 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:
@@ -5848,7 +5704,7 @@ 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,[.] __nft_mod_MOD_nft_store : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __nft_mod_MOD_nft_store : 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:
@@ -5875,7 +5731,7 @@ 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_upmlupdateh : sample=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdateh : 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:
@@ -5902,7 +5758,7 @@ 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=-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:
@@ -5929,7 +5785,7 @@ 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:
@@ -5956,7 +5812,7 @@ 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:
@@ -5983,7 +5839,7 @@ 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=-3% (threshold=15%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : 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:
@@ -6010,7 +5866,7 @@ 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_cnot : sample=-3% (threshold=15%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_cnot : 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:
@@ -6037,7 +5893,7 @@ 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=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:
@@ -6118,7 +5974,7 @@ 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,[.] FastFullPelBlockMotionSearch : sample=11% (threshold=15%)
+DEBUG: checking symbol.improvement : 464.h264ref,[.] FastFullPelBlockMotionSearch : 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:
@@ -6140,7 +5996,7 @@ 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=0% (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:
@@ -6167,7 +6023,7 @@ 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=-1% (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:
@@ -6182,19 +6038,14 @@ 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=-1% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,[.] __sincosl : 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:
@@ -6209,14 +6060,19 @@ 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=1% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.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:
@@ -6238,7 +6094,7 @@ 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=-4% (threshold=15%)
+DEBUG: checking symbol.improvement : 465.tonto,[.] __cexpl : sample=11% (threshold=15%)
output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics:
@@ -6292,7 +6148,7 @@ 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:
@@ -6314,7 +6170,7 @@ 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=3% (threshold=15%)
+DEBUG: checking symbol.improvement : 471.omnetpp,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:
@@ -6341,7 +6197,7 @@ 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=8% (threshold=15%)
+DEBUG: checking symbol.improvement : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : sample=-17% (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:
@@ -6368,7 +6224,7 @@ 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,[.] _ZN6wayobj10makebound2EPiiS0_ : sample=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 473.astar,[.] _ZN6wayobj10makebound2EPiiS0_ : 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:
@@ -6449,7 +6305,7 @@ 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=3% (threshold=15%)
+DEBUG: checking symbol.improvement : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : 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:
@@ -6476,7 +6332,7 @@ 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=2% (threshold=15%)
+DEBUG: checking symbol.improvement : 481.wrf,[.] __module_small_step_em_MOD_advance_w : 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:
@@ -6491,19 +6347,14 @@ 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 : 481.wrf,libm.so.6 : sample=-5% (threshold=15%)
+DEBUG: checking symbol.improvement : 481.wrf,libc.so.6 : 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:
@@ -6518,14 +6369,19 @@ 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,libm.so.6 : 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:
@@ -6552,7 +6408,7 @@ 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=0% (threshold=15%)
+DEBUG: checking symbol.improvement : 482.sphinx3,[.] vector_gautbl_eval_logs3 : 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:
@@ -6579,7 +6435,7 @@ 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=-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: