Marco Sulla <launchpad....@marco.sulla.e4ward.com> added the comment:
I commented out sqlalchemy in the requirements.txt in the pyperformance source code, and it worked. I had also to skip tornado: pyperformance run -r -b,-sqlalchemy_declarative,-sqlalchemy_imperative,-tornado_http -o ../perf_master.json This is my result: pyperformance compare perf_master.json perf_dict_init.json -O table | grep Significant | 2to3 | 356 ms | 348 ms | 1.02x faster | Significant (t=7.28) | | fannkuch | 485 ms | 468 ms | 1.04x faster | Significant (t=9.68) | | pathlib | 22.5 ms | 22.1 ms | 1.02x faster | Significant (t=13.02) | | pickle_dict | 29.0 us | 30.3 us | 1.05x slower | Significant (t=-92.36) | | pickle_list | 4.55 us | 4.64 us | 1.02x slower | Significant (t=-10.87) | | pyflate | 735 ms | 702 ms | 1.05x faster | Significant (t=6.67) | | regex_compile | 197 ms | 193 ms | 1.02x faster | Significant (t=2.81) | | regex_v8 | 24.5 ms | 23.9 ms | 1.02x faster | Significant (t=17.63) | | scimark_fft | 376 ms | 386 ms | 1.03x slower | Significant (t=-15.07) | | scimark_lu | 154 ms | 158 ms | 1.03x slower | Significant (t=-12.94) | | sqlite_synth | 3.35 us | 3.21 us | 1.04x faster | Significant (t=17.65) | | telco | 6.54 ms | 7.14 ms | 1.09x slower | Significant (t=-8.51) | | unpack_sequence | 58.8 ns | 61.5 ns | 1.04x slower | Significant (t=-19.66) | It's strange that some benchmarks are slower, since the patch only do two additional checks to dict_vectorcall. Maybe they use many little dicts? @methane: > Would you implement some more optimization based on your PR to demonstrate > your idea? I already done them, I'll do a PR. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue41835> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
