diff options
author | TCWG BuildSlave <tcwg-buildslave@linaro.org> | 2023-10-07 16:44:19 +0000 |
---|---|---|
committer | TCWG BuildSlave <tcwg-buildslave@linaro.org> | 2023-10-07 16:44:49 +0000 |
commit | 2037ced5cd7e6acaef081761139199105ab56f29 (patch) | |
tree | edd7b90f30a3a92f94ccc5d8cd980c8e76080d9b /notify | |
parent | ccfd7a30fdc51717a90f6ad7df536fac12070d0f (diff) |
onsuccess: #122: 1: [TCWG CI] https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/122/
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.skipped | 8 | ||||
-rw-r--r-- | notify/jira/comment-template.txt | 2 | ||||
-rw-r--r-- | notify/jira/comments.txt | 4 | ||||
-rw-r--r-- | notify/mail-body.txt | 46 | ||||
-rw-r--r-- | notify/mail-subject.txt | 2 | ||||
-rw-r--r-- | notify/output-bmk-results.log | 758 |
6 files changed, 387 insertions, 433 deletions
diff --git a/notify/any.skipped b/notify/any.skipped index d7baa24a..b262200d 100644 --- a/notify/any.skipped +++ b/notify/any.skipped @@ -1,4 +1,4 @@ -437.leslie3d,leslie3d_base.default,sped up by 16% - 437.leslie3d,sped up by 16% - 437.leslie3d - from 14274 to 12036 perf samples
-437.leslie3d,[.] fluxk_,sped up by 19% - 437.leslie3d:[.] fluxk_,sped up by 19% - 437.leslie3d:[.] fluxk_ - from 3119 to 2524 perf samples
-437.leslie3d,[.] fluxj_,sped up by 22% - 437.leslie3d:[.] fluxj_,sped up by 22% - 437.leslie3d:[.] fluxj_ - from 3002 to 2347 perf samples
-437.leslie3d,[.] fluxi_,sped up by 18% - 437.leslie3d:[.] fluxi_,sped up by 18% - 437.leslie3d:[.] fluxi_ - from 2460 to 2023 perf samples
+437.leslie3d,leslie3d_base.default,slowed down by 18% - 437.leslie3d,slowed down by 18% - 437.leslie3d - from 12036 to 14207 perf samples
+437.leslie3d,[.] fluxk_,slowed down by 23% - 437.leslie3d:[.] fluxk_,slowed down by 23% - 437.leslie3d:[.] fluxk_ - from 2524 to 3107 perf samples
+437.leslie3d,[.] fluxj_,slowed down by 28% - 437.leslie3d:[.] fluxj_,slowed down by 28% - 437.leslie3d:[.] fluxj_ - from 2347 to 3009 perf samples
+437.leslie3d,[.] fluxi_,slowed down by 21% - 437.leslie3d:[.] fluxi_,slowed down by 21% - 437.leslie3d:[.] fluxi_ - from 2023 to 2452 perf samples
diff --git a/notify/jira/comment-template.txt b/notify/jira/comment-template.txt index 8b347e75..c03af901 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/121/artifact/artifacts/notify/mail-body.txt/*view*/ +Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/122/artifact/artifacts/notify/mail-body.txt/*view*/ diff --git a/notify/jira/comments.txt b/notify/jira/comments.txt index 99e75303..c03af901 100644 --- a/notify/jira/comments.txt +++ b/notify/jira/comments.txt @@ -1,3 +1,3 @@ [GNU-689] - -Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/121/artifact/artifacts/notify/mail-body.txt/*view*/ +No change +Details: https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/122/artifact/artifacts/notify/mail-body.txt/*view*/ diff --git a/notify/mail-body.txt b/notify/mail-body.txt index ee92dc3d..dcc564ec 100644 --- a/notify/mail-body.txt +++ b/notify/mail-body.txt @@ -2,23 +2,31 @@ 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: - | 153 commits in binutils,gcc,glibc - | dfab07b9ead x86: unindent most of set_cpu_arch() - | d54678ebc02 x86: rename CpuPCLMUL - | e30e9575926 x86: correct source used for two non-AVX512 VEXWIG tests - | e746be98588 x86: drop Size64 from VMOVQ - | f438659a6fb RISC-V: move various alias entries - | ... and 68 more commits in binutils - | c07d82c12f2 libstdc++: Use dg-require-filesystem-ts in link test - | f2eb6132c69 libstdc++: Avoid useless dependency on read_symlink from tzdb - | fcede95472c libstdc++: Make --enable-libstdcxx-backtrace=auto default to yes - | 5f2098cce6c RISC-V: Enable VECT_COMPARE_COSTS by default - | ffbb19c6afc RISC-V: Add vec_extract for BI -> QI. - | ... and 71 more commits in gcc - | d2123d6827 elf: Fix slow tls access after dlopen [BZ #19924] - | 1493622f4f x86: Check the lower byte of EAX of CPUID leaf 2 [BZ #30643] - | e1d3312015 add GB18030-2022 charmap and test the entire GB18030 charmap [BZ #30243] - | d3c34a2dd9 Use GMP 6.3.0, MPFR 4.2.1 in build-many-glibcs.py + | 298 commits in binutils,gcc,linux,glibc + | 83066cb9c7d src-release.sh (SIM_SUPPORT_DIRS): Add libsframe, libctf/swap.h and gnulib + | 84522284a50 Automatic date update in version.in + | a13e4c5c10d Fix 30808 gprofng tests failed + | a006bc9c37e gdb/testsuite: Make hook-stop.exp ignore termination message from GDB stub + | 8de9b683a5f gdb/testsuite: Disable some tests that are broken on remote Windows host + | ... and 28 more commits in binutils + | dbae784d50f c++: [[no_unique_address]] and cv-qualified type + | 254100a9a00 RISC-V: typo: add closing paren to a comment + | ce65641354d RISC-V: Fix Zicond ICE on large constants + | 4388bc8213a Daily bump. + | 102dd3e8067 riscv: Synthesize all 11-bit-rotate constants with rori + | ... and 107 more commits in gcc + | 43379dc94db5 Merge v6.4.14 + | babc8be398c3 Linux 6.4.14 + | 9a3ac3bf4dbf thunderbolt: Fix a backport error for display flickering issue + | bb899e081c6c kallsyms: Fix kallsyms_selftest failure + | ebc51587d0c5 parisc: sys_parisc: parisc_personality() is called from asm code + | ... and 137 more commits in linux + | e7190fc73d linux: Add pidfd_getpid + | 0d6f9f6265 posix: Add pidfd_spawn and pidfd_spawnp (BZ 30349) + | ce2bfb8569 linux: Add posix_spawnattr_{get, set}cgroup_np (BZ 26371) + | ad77b1bcca linux: Define __ASSUME_CLONE3 to 0 for alpha, ia64, nios2, sh, and sparc + | e7d1c58664 mips: Add the clone3 wrapper + | ... and 6 more commits in glibc No change @@ -38,6 +46,6 @@ 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/121/artifact/artifacts -Reference build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/120/artifact/artifacts +Current build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/122/artifact/artifacts +Reference build : https://ci.linaro.org/job/tcwg_bmk-code_speed-spec2k6--gnu-arm-master-O3-build/121/artifact/artifacts diff --git a/notify/mail-subject.txt b/notify/mail-subject.txt index 47bf43c0..5d0e76bf 100644 --- a/notify/mail-subject.txt +++ b/notify/mail-subject.txt @@ -1 +1 @@ -[Linaro-TCWG-CI] 153 commits in binutils,gcc,glibc: No change on arm O3 +[Linaro-TCWG-CI] 298 commits in binutils,gcc,linux,glibc: No change on arm O3 diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log index e8708217..9233364f 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=0% (threshold=3%) +DEBUG: checking exe.regression : 401.bzip2,bzip2_base.default : sample=1% (threshold=3%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -390,12 +390,42 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.regression : 437.leslie3d,leslie3d_base.default : sample=16% (threshold=9.600000000000001%) +DEBUG: checking exe.regression : 437.leslie3d,leslie3d_base.default : sample=-18% (threshold=9.600000000000001%) 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(162): item=bmk +output-bmk-results.py(164): short_diag = "{1} {2}% - {0}".format(item, locals()["prefix_" + change_kind], abs(rel_value - 100)) +output-bmk-results.py(165): long_diag = "{0} - from {1} to {2} {3}".format(short_diag, prev_value, curr_value, suffix) +output-bmk-results.py(166): return abs(rel_value - 100), short_diag, long_diag +output-bmk-results.py(231): if metric == "sample" \ +output-bmk-results.py(232): and row['symbol_md5sum_x'] == row['symbol_md5sum_y'] \ +output-bmk-results.py(233): and row['symbol_md5sum_x'] != "-1" \ +output-bmk-results.py(234): and row['symbol_md5sum_x'] != "d41d8cd98f00b204e9800998ecf8427e": +output-bmk-results.py(235): f_skip.write_csv((row["benchmark"], row["symbol"], short_diag, long_diag)) + --- modulename: output-bmk-results, funcname: write_csv +output-bmk-results.py(41): if not self.predicate or not self.csvwriter: +output-bmk-results.py(43): self.csvwriter.writerow(arr) +output-bmk-results.py(236): continue output-bmk-results.py(216): for index, row in out_df.iterrows(): output-bmk-results.py(218): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"]) --- modulename: output-bmk-results, funcname: get_threshold @@ -471,7 +501,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=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: @@ -525,7 +555,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=0% (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: @@ -579,7 +609,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=-3% (threshold=3.81%) +DEBUG: checking exe.regression : 456.hmmer,hmmer_base.default : sample=0% (threshold=3.81%) 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: @@ -633,7 +663,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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: @@ -687,7 +717,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.regression : 464.h264ref,h264ref_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.regression : 464.h264ref,h264ref_base.default : sample=1% (threshold=3%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -714,7 +744,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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: @@ -768,7 +798,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.regression : 471.omnetpp,omnetpp_base.default : sample=-1% (threshold=3%) +DEBUG: checking exe.regression : 471.omnetpp,omnetpp_base.default : sample=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: @@ -822,7 +852,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=0% (threshold=3%) +DEBUG: checking exe.regression : 481.wrf,wrf_base.default : sample=2% (threshold=3%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -876,7 +906,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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 : 483.xalancbmk,Xalan_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.regression : 483.xalancbmk,Xalan_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: @@ -948,7 +978,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=0% (threshold=3%) +DEBUG: checking exe.improvement : 401.bzip2,bzip2_base.default : sample=1% (threshold=3%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -1191,42 +1221,12 @@ 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.improvement : 437.leslie3d,leslie3d_base.default : sample=16% (threshold=9.600000000000001%) +DEBUG: checking exe.improvement : 437.leslie3d,leslie3d_base.default : sample=-18% (threshold=9.600000000000001%) 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(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 @@ -1302,7 +1302,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.improvement : 447.dealII,dealII_base.default : sample=-1% (threshold=3%) +DEBUG: checking exe.improvement : 447.dealII,dealII_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: @@ -1356,7 +1356,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=0% (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 +1410,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=-3% (threshold=3.81%) +DEBUG: checking exe.improvement : 456.hmmer,hmmer_base.default : sample=0% (threshold=3.81%) 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 +1464,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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: @@ -1518,7 +1518,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.improvement : 464.h264ref,h264ref_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.improvement : 464.h264ref,h264ref_base.default : sample=1% (threshold=3%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -1545,7 +1545,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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 +1599,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking exe.improvement : 471.omnetpp,omnetpp_base.default : sample=-1% (threshold=3%) +DEBUG: checking exe.improvement : 471.omnetpp,omnetpp_base.default : sample=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: @@ -1653,7 +1653,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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=0% (threshold=3%) +DEBUG: checking exe.improvement : 481.wrf,wrf_base.default : sample=2% (threshold=3%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -1707,7 +1707,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], 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 : 483.xalancbmk,Xalan_base.default : sample=0% (threshold=3%) +DEBUG: checking exe.improvement : 483.xalancbmk,Xalan_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: @@ -1752,7 +1752,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 400.perlbench,[.] S_regmatch : sample=-1% (threshold=15%) +DEBUG: checking symbol.regression : 400.perlbench,[.] S_regmatch : 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: @@ -1774,7 +1774,7 @@ 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=0% (threshold=15%) +DEBUG: checking symbol.regression : 400.perlbench,libc.so.6 : sample=-6% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -1828,7 +1828,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 401.bzip2,[.] mainGtU.part.0 : sample=-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: @@ -1855,7 +1855,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 401.bzip2,[.] fallbackSort : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 401.bzip2,[.] mainGtU.part.0 : sample=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: @@ -1882,7 +1882,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.regression : 401.bzip2,[.] BZ2_decompress : 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: @@ -1909,7 +1909,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.regression : 401.bzip2,[.] BZ2_compressBlock : 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 +1936,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.regression : 403.gcc,[.] reg_is_remote_constant_p : sample=1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -1963,7 +1963,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=3% (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: @@ -1990,7 +1990,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=4% (threshold=15%) +DEBUG: checking symbol.regression : 403.gcc,[.] memset : 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: @@ -2044,7 +2044,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 +2071,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=3% (threshold=15%) +DEBUG: checking symbol.regression : 416.gamess,[.] forms_ : sample=2% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2098,7 +2098,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=3% (threshold=15%) +DEBUG: checking symbol.regression : 416.gamess,[.] twotff_ : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2152,7 +2152,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-9% (threshold=16.049999999999997%) +DEBUG: checking symbol.regression : 416.gamess,[.] xyzint_ : sample=3% (threshold=15.78%) 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: @@ -2179,7 +2179,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 429.mcf,[.] primal_bea_mpp : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 429.mcf,[.] primal_bea_mpp : sample=-1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2206,7 +2206,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 429.mcf,[.] refresh_potential : sample=-3% (threshold=15%) +DEBUG: checking symbol.regression : 429.mcf,[.] refresh_potential : 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 +2233,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (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 +2260,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 +2287,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (threshold=15%) +DEBUG: checking symbol.regression : 433.milc,[.] mult_su3_mat_vec : sample=-4% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2314,7 +2314,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.regression : 433.milc,[.] mult_adj_su3_mat_vec : 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: @@ -2341,7 +2341,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=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: @@ -2368,7 +2368,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-1% (threshold=15%) +DEBUG: checking symbol.regression : 434.zeusmp,[.] hsmoc_ : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2422,7 +2422,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (threshold=15%) +DEBUG: checking symbol.regression : 435.gromacs,[.] inl1130_ : sample=1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2449,7 +2449,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-3% (threshold=15%) +DEBUG: checking symbol.regression : 435.gromacs,[.] search_neighbours : 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: @@ -2503,12 +2503,42 @@ 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 : 437.leslie3d,[.] fluxk_ : sample=19% (threshold=15%) +DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxk_ : sample=-23% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(176): return (result - 100 > threshold) -output-bmk-results.py(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 @@ -2530,12 +2560,42 @@ 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 : 437.leslie3d,[.] fluxj_ : sample=22% (threshold=15%) +DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxj_ : sample=-28% (threshold=15%) 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 @@ -2557,12 +2617,42 @@ 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 : 437.leslie3d,[.] fluxi_ : sample=18% (threshold=15%) +DEBUG: checking symbol.regression : 437.leslie3d,[.] fluxi_ : sample=-21% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: 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 @@ -2584,7 +2674,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-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: @@ -2611,7 +2701,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=5% (threshold=15%) +DEBUG: checking symbol.regression : 437.leslie3d,[.] extrapj_ : sample=-5% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2638,7 +2728,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] extrapk_ : sample=5% (threshold=15%) +DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil26calc_pair_energy_fullelectEP9nonbonded : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2665,7 +2755,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil26calc_pair_energy_fullelectEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil19calc_pair_fullelectEP9nonbonded : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2692,7 +2782,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil19calc_pair_fullelectEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : 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: @@ -2719,7 +2809,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : 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: @@ -2746,7 +2836,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2773,7 +2863,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : sample=1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2800,7 +2890,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 445.gobmk,[.] do_play_move : 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: @@ -2827,7 +2917,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.regression : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : 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: @@ -2854,7 +2944,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=1% (threshold=15.0%) +DEBUG: checking symbol.regression : 447.dealII,libstdc++.so.6.0.33 : 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: @@ -2881,7 +2971,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-3% (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: @@ -2908,7 +2998,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=4% (threshold=15%) +DEBUG: checking symbol.regression : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : 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: @@ -2935,7 +3025,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=1% (threshold=15%) +DEBUG: checking symbol.regression : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : sample=-3% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2962,7 +3052,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : sample=-1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -2989,7 +3079,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : sample=5% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3016,7 +3106,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : 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: @@ -3043,7 +3133,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=-1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3070,7 +3160,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : sample=3% (threshold=15%) +DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=7% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3097,7 +3187,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=5% (threshold=15%) +DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL24All_Sphere_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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: @@ -3124,7 +3214,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-5% (threshold=15%) +DEBUG: checking symbol.regression : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=-15% (threshold=15.450000000000001%) 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: @@ -3151,7 +3241,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=6% (threshold=15%) +DEBUG: checking symbol.regression : 454.calculix,[.] e_c3d_ : 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: @@ -3178,7 +3268,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=7% (threshold=15.450000000000001%) +DEBUG: checking symbol.regression : 454.calculix,[.] DVdot33 : 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: @@ -3205,7 +3295,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] e_c3d_ : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 456.hmmer,[.] P7Viterbi : 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: @@ -3232,7 +3322,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 458.sjeng,[.] std_eval : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3259,7 +3349,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-3% (threshold=15%) +DEBUG: checking symbol.regression : 458.sjeng,[.] gen : 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: @@ -3286,7 +3376,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.regression : 458.sjeng,[.] setup_attackers : 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: @@ -3313,7 +3403,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 458.sjeng,[.] gen : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : 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: @@ -3340,7 +3430,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __nft_mod_MOD_nft_store : 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: @@ -3367,7 +3457,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : sample=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: @@ -3394,7 +3484,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] __update_mod_MOD_updateh_homo : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3421,7 +3511,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] __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: @@ -3448,7 +3538,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 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: @@ -3475,7 +3565,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (threshold=15%) +DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : 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: @@ -3502,7 +3592,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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_cnot : 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: @@ -3529,7 +3619,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 464.h264ref,[.] SetupFastFullPelSearch : sample=2% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3556,7 +3646,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 464.h264ref,libc.so.6 : sample=6% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3583,7 +3673,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] __memcpy_neon : 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: @@ -3610,7 +3700,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 464.h264ref,libc.so.6 : sample=-5% (threshold=15%) +DEBUG: checking symbol.regression : 464.h264ref,[.] FastFullPelBlockMotionSearch : 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: @@ -3625,19 +3715,14 @@ 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 : 464.h264ref,[.] __memcpy_neon : sample=-5% (threshold=15%) +DEBUG: checking symbol.regression : 465.tonto,libm.so.6 : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3664,7 +3749,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-6% (threshold=15%) +DEBUG: checking symbol.regression : 465.tonto,[.] __shell2_module_MOD_make_ft_1 : 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: @@ -3686,7 +3771,7 @@ 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,[.] __sincosl : 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: @@ -3713,7 +3798,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.regression : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.0 : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_regression output-bmk-results.py(175): if metric in metric_utils.higher_regress_metrics: @@ -3735,7 +3820,7 @@ 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,[.] __sincosl : sample=-6% (threshold=15%) +DEBUG: checking symbol.regression : 465.tonto,[.] __cexpl : 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: @@ -3762,29 +3847,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-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: -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(62): return np.nan -output-bmk-results.py(100): if not np.isnan(spec_thr): -output-bmk-results.py(107): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(110): return default_threshold[(change_kind,metric,mode)] -output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) -output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 465.tonto,[.] __cexpl : sample=10% (threshold=15%) +DEBUG: checking symbol.regression : 470.lbm,[.] LBM_performStreamCollide : 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: @@ -3811,7 +3874,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 470.lbm,[.] LBM_performStreamCollide : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 471.omnetpp,[.] _ZN12cMessageHeap7shiftupEi : 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: @@ -3826,19 +3889,14 @@ 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 : 471.omnetpp,[.] _ZN12cMessageHeap7shiftupEi : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 471.omnetpp,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: @@ -3853,14 +3911,19 @@ 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 : 471.omnetpp,libc.so.6 : sample=3% (threshold=15%) +DEBUG: checking symbol.regression : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : 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: @@ -3887,7 +3950,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : sample=2% (threshold=15%) +DEBUG: checking symbol.regression : 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: @@ -3914,7 +3977,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=1% (threshold=15%) +DEBUG: checking symbol.regression : 473.astar,[.] _ZN7way2obj12releasepointEii : 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: @@ -3941,7 +4004,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] _ZN7way2obj12releasepointEii : sample=-1% (threshold=15%) +DEBUG: checking symbol.regression : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : 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: @@ -3968,7 +4031,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : sample=-1% (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: @@ -3995,7 +4058,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 481.wrf,[.] __module_small_step_em_MOD_advance_w : 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: @@ -4022,7 +4085,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,libm.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: @@ -4049,7 +4112,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.regression : 481.wrf,libm.so.6 : sample=2% (threshold=15%) +DEBUG: checking symbol.regression : 481.wrf,[.] powf@@GLIBC_2.27 : 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: @@ -4076,7 +4139,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (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: @@ -4103,7 +4166,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-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: @@ -4130,7 +4193,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore8containsEPKNS_13FieldValueMapE : sample=-2% (threshold=15%) +DEBUG: checking symbol.regression : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore8containsEPKNS_13FieldValueMapE : 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: @@ -4152,7 +4215,7 @@ 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 : 483.xalancbmk,libc.so.6 : sample=0% (threshold=15%) +DEBUG: checking symbol.regression : 483.xalancbmk,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: @@ -4179,7 +4242,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 483.xalancbmk,[.] _ZN10xalanc_1_819XalanDOMStringCache7releaseERNS_14XalanDOMStringE : sample=2% (threshold=15%) +DEBUG: checking symbol.regression : 483.xalancbmk,[.] _ZN10xalanc_1_819XalanDOMStringCache7releaseERNS_14XalanDOMStringE : 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: @@ -4206,7 +4269,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : sample=1% (threshold=15%) +DEBUG: checking symbol.regression : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : 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: @@ -4251,7 +4314,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 400.perlbench,[.] S_regmatch : sample=-1% (threshold=15%) +DEBUG: checking symbol.improvement : 400.perlbench,[.] S_regmatch : 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: @@ -4273,7 +4336,7 @@ 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=0% (threshold=15%) +DEBUG: checking symbol.improvement : 400.perlbench,libc.so.6 : sample=-6% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4327,7 +4390,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 401.bzip2,[.] mainGtU.part.0 : sample=-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: @@ -4354,7 +4417,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 401.bzip2,[.] fallbackSort : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 401.bzip2,[.] mainGtU.part.0 : sample=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: @@ -4381,7 +4444,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 401.bzip2,[.] BZ2_decompress : 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: @@ -4408,7 +4471,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.improvement : 401.bzip2,[.] BZ2_compressBlock : 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: @@ -4435,7 +4498,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 403.gcc,[.] reg_is_remote_constant_p : sample=1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4462,7 +4525,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=3% (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: @@ -4489,7 +4552,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=4% (threshold=15%) +DEBUG: checking symbol.improvement : 403.gcc,[.] memset : 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: @@ -4543,7 +4606,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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: @@ -4570,7 +4633,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=3% (threshold=15%) +DEBUG: checking symbol.improvement : 416.gamess,[.] forms_ : sample=2% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4597,7 +4660,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=3% (threshold=15%) +DEBUG: checking symbol.improvement : 416.gamess,[.] twotff_ : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4651,7 +4714,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-9% (threshold=16.049999999999997%) +DEBUG: checking symbol.improvement : 416.gamess,[.] xyzint_ : sample=3% (threshold=15.78%) 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: @@ -4678,7 +4741,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 429.mcf,[.] primal_bea_mpp : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 429.mcf,[.] primal_bea_mpp : sample=-1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4705,7 +4768,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 429.mcf,[.] refresh_potential : sample=-3% (threshold=15%) +DEBUG: checking symbol.improvement : 429.mcf,[.] refresh_potential : 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: @@ -4732,7 +4795,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (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: @@ -4759,7 +4822,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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: @@ -4786,7 +4849,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (threshold=15%) +DEBUG: checking symbol.improvement : 433.milc,[.] mult_su3_mat_vec : sample=-4% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4813,7 +4876,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 433.milc,[.] mult_adj_su3_mat_vec : 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: @@ -4840,7 +4903,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=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: @@ -4867,7 +4930,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-1% (threshold=15%) +DEBUG: checking symbol.improvement : 434.zeusmp,[.] hsmoc_ : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4921,7 +4984,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (threshold=15%) +DEBUG: checking symbol.improvement : 435.gromacs,[.] inl1130_ : sample=1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -4948,7 +5011,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-3% (threshold=15%) +DEBUG: checking symbol.improvement : 435.gromacs,[.] search_neighbours : 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: @@ -5002,42 +5065,12 @@ 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.improvement : 437.leslie3d,[.] fluxk_ : sample=19% (threshold=15%) +DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxk_ : sample=-23% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(185): return (100 - result > threshold) -output-bmk-results.py(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 @@ -5059,42 +5092,12 @@ 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.improvement : 437.leslie3d,[.] fluxj_ : sample=22% (threshold=15%) +DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxj_ : sample=-28% (threshold=15%) 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(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 @@ -5116,42 +5119,12 @@ 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.improvement : 437.leslie3d,[.] fluxi_ : sample=18% (threshold=15%) +DEBUG: checking symbol.improvement : 437.leslie3d,[.] fluxi_ : sample=-21% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: output-bmk-results.py(185): return (100 - result > threshold) -output-bmk-results.py(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 @@ -5173,7 +5146,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-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: @@ -5200,7 +5173,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=5% (threshold=15%) +DEBUG: checking symbol.improvement : 437.leslie3d,[.] extrapj_ : sample=-5% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5227,7 +5200,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] extrapk_ : sample=5% (threshold=15%) +DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil26calc_pair_energy_fullelectEP9nonbonded : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5254,7 +5227,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil26calc_pair_energy_fullelectEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil19calc_pair_fullelectEP9nonbonded : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5281,7 +5254,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil19calc_pair_fullelectEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : 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: @@ -5308,7 +5281,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : 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: @@ -5335,7 +5308,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil16calc_pair_energyEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5362,7 +5335,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : sample=1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5389,7 +5362,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil9calc_pairEP9nonbonded : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 445.gobmk,[.] do_play_move : 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: @@ -5416,7 +5389,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 447.dealII,[.] _ZNK9MappingQ1ILi3EE12compute_fillERK12TriaIteratorILi3E15DoFCellAccessorILi3EEEjN10QProjectorILi3EE17DataSetDescriptorERNS0_12InternalDataERSt6vectorI5PointILi3EESaISE_EE : 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: @@ -5443,7 +5416,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=1% (threshold=15.0%) +DEBUG: checking symbol.improvement : 447.dealII,libstdc++.so.6.0.33 : 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: @@ -5470,7 +5443,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-3% (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: @@ -5497,7 +5470,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=4% (threshold=15%) +DEBUG: checking symbol.improvement : 447.dealII,[.] _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base : 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: @@ -5524,7 +5497,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=1% (threshold=15%) +DEBUG: checking symbol.improvement : 447.dealII,[.] _ZN13LaplaceSolver6SolverILi3EE22assemble_linear_systemERNS1_12LinearSystemE : sample=-3% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5551,7 +5524,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : sample=-1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5578,7 +5551,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex8SSVector18assign2productFullERKNS_5SVSetERKS0_ : sample=5% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5605,7 +5578,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex10SPxSteepPR8entered4ENS_5SPxIdEi : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : 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: @@ -5632,7 +5605,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=-1% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5659,7 +5632,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : sample=3% (threshold=15%) +DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL31All_CSG_Intersect_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : sample=7% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5686,7 +5659,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=5% (threshold=15%) +DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL24All_Sphere_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : 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: @@ -5713,7 +5686,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-5% (threshold=15%) +DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3pov17Check_And_EnqueueEPNS_21Priority_Queue_StructEPNS_16BBox_Tree_StructEPNS_19Bounding_Box_StructEPNS_14Rayinfo_StructE : sample=-15% (threshold=15.450000000000001%) 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 +5713,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=6% (threshold=15%) +DEBUG: checking symbol.improvement : 454.calculix,[.] e_c3d_ : 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: @@ -5767,7 +5740,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=7% (threshold=15.450000000000001%) +DEBUG: checking symbol.improvement : 454.calculix,[.] DVdot33 : 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 +5767,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] e_c3d_ : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 456.hmmer,[.] P7Viterbi : 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: @@ -5821,7 +5794,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 458.sjeng,[.] std_eval : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -5848,7 +5821,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-3% (threshold=15%) +DEBUG: checking symbol.improvement : 458.sjeng,[.] gen : 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: @@ -5875,7 +5848,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.improvement : 458.sjeng,[.] setup_attackers : 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 +5875,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 458.sjeng,[.] gen : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : 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: @@ -5929,7 +5902,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __nft_mod_MOD_nft_store : 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 +5929,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 459.GemsFDTD,[.] __upml_mod_MOD_upmlupdatee : sample=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: @@ -5983,7 +5956,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] __update_mod_MOD_updateh_homo : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -6010,7 +5983,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] __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: @@ -6037,7 +6010,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 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: @@ -6064,7 +6037,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=0% (threshold=15%) +DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : 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: @@ -6091,7 +6064,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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_cnot : 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: @@ -6118,7 +6091,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 464.h264ref,[.] SetupFastFullPelSearch : sample=2% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -6145,7 +6118,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 464.h264ref,libc.so.6 : sample=6% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -6172,7 +6145,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] __memcpy_neon : 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: @@ -6199,7 +6172,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 464.h264ref,libc.so.6 : sample=-5% (threshold=15%) +DEBUG: checking symbol.improvement : 464.h264ref,[.] FastFullPelBlockMotionSearch : 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: @@ -6214,19 +6187,14 @@ 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 : 464.h264ref,[.] __memcpy_neon : sample=-5% (threshold=15%) +DEBUG: checking symbol.improvement : 465.tonto,libm.so.6 : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -6253,7 +6221,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-6% (threshold=15%) +DEBUG: checking symbol.improvement : 465.tonto,[.] __shell2_module_MOD_make_ft_1 : 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: @@ -6275,7 +6243,7 @@ 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,[.] __sincosl : 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: @@ -6302,7 +6270,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-4% (threshold=15%) +DEBUG: checking symbol.improvement : 465.tonto,[.] __shell1quartet_module_MOD_make_esfs.isra.0 : sample=0% (threshold=15%) output-bmk-results.py(224): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold): --- modulename: output-bmk-results, funcname: is_entry_improvement output-bmk-results.py(184): if metric in metric_utils.higher_regress_metrics: @@ -6324,7 +6292,7 @@ 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,[.] __sincosl : sample=-6% (threshold=15%) +DEBUG: checking symbol.improvement : 465.tonto,[.] __cexpl : 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: @@ -6351,29 +6319,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-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: -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(62): return np.nan -output-bmk-results.py(100): if not np.isnan(spec_thr): -output-bmk-results.py(107): if metric == "num_vect_loops" or metric == "num_sve_loops": -output-bmk-results.py(110): return default_threshold[(change_kind,metric,mode)] -output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) -output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 465.tonto,[.] __cexpl : sample=10% (threshold=15%) +DEBUG: checking symbol.improvement : 470.lbm,[.] LBM_performStreamCollide : 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: @@ -6400,7 +6346,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 470.lbm,[.] LBM_performStreamCollide : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 471.omnetpp,[.] _ZN12cMessageHeap7shiftupEi : 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: @@ -6415,19 +6361,14 @@ 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 : 471.omnetpp,[.] _ZN12cMessageHeap7shiftupEi : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 471.omnetpp,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: @@ -6442,14 +6383,19 @@ 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 : 471.omnetpp,libc.so.6 : sample=3% (threshold=15%) +DEBUG: checking symbol.improvement : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : 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: @@ -6476,7 +6422,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 471.omnetpp,[.] _ZN5cGate7deliverEP8cMessaged : sample=2% (threshold=15%) +DEBUG: checking symbol.improvement : 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: @@ -6503,7 +6449,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=1% (threshold=15%) +DEBUG: checking symbol.improvement : 473.astar,[.] _ZN7way2obj12releasepointEii : 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: @@ -6530,7 +6476,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,[.] _ZN7way2obj12releasepointEii : sample=-1% (threshold=15%) +DEBUG: checking symbol.improvement : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : 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: @@ -6557,7 +6503,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 473.astar,[.] _ZN9regwayobj10makebound2ER9flexarrayIP6regobjES4_ : sample=-1% (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: @@ -6584,7 +6530,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 481.wrf,[.] __module_advect_em_MOD_advect_scalar : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 481.wrf,[.] __module_small_step_em_MOD_advance_w : 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: @@ -6611,7 +6557,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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,libm.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: @@ -6638,7 +6584,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold)) output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ -DEBUG: checking symbol.improvement : 481.wrf,libm.so.6 : sample=2% (threshold=15%) +DEBUG: checking symbol.improvement : 481.wrf,[.] powf@@GLIBC_2.27 : 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: @@ -6665,7 +6611,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-2% (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: @@ -6692,7 +6638,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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=-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: @@ -6719,7 +6665,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore8containsEPKNS_13FieldValueMapE : sample=-2% (threshold=15%) +DEBUG: checking symbol.improvement : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore8containsEPKNS_13FieldValueMapE : 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: @@ -6741,7 +6687,7 @@ 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 : 483.xalancbmk,libc.so.6 : sample=0% (threshold=15%) +DEBUG: checking symbol.improvement : 483.xalancbmk,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: @@ -6768,7 +6714,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 483.xalancbmk,[.] _ZN10xalanc_1_819XalanDOMStringCache7releaseERNS_14XalanDOMStringE : sample=2% (threshold=15%) +DEBUG: checking symbol.improvement : 483.xalancbmk,[.] _ZN10xalanc_1_819XalanDOMStringCache7releaseERNS_14XalanDOMStringE : 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: @@ -6795,7 +6741,7 @@ output-bmk-results.py(105): return spec_thr output-bmk-results.py(220): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\ output-bmk-results.py(221): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 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 : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : sample=1% (threshold=15%) +DEBUG: checking symbol.improvement : 483.xalancbmk,[.] _ZN11xercesc_2_510ValueStore13isDuplicateOfEPNS_17DatatypeValidatorEPKtS2_S4_ : 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: |