STINNER Victor <vstin...@python.org> added the comment:
> ./python -m pyperf timeit "from functools import lru_cache; f = > lru_cache(lambda: 42)" "f()" --compare-to ../3.9/python > /home/pablogsal/github/3.9/python: ..................... 2.60 us +- 0.05 us You misused pyperf timeit: the two statements are run at each iteration of the benchmark. I rerun the benchmark on Linux with PGO+LTO and CPU isolation: Mean +- std dev: [py39] 37.5 ns +- 1.0 ns -> [master] 43.2 ns +- 0.7 ns: 1.15x slower I understand that adding get_functools_state_by_type() has a cost of +5.7 ns on the performance of functions decorated with @lru_cache. I used the commands: ./configure --enable-optimizations --with-lto make ./python -m venv env env/bin/python -m pip install pyperf ./env/bin/python -m pyperf timeit -s "from functools import lru_cache; f = lru_cache(lambda: 42)" "f()" -o master.json -v --duplicate=4096 ---------- stage: patch review -> resolved _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue40137> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
