Well, I tried it. The result is interesting: https://github.com/Marco-Sulla/cpython/blob/master/frozendict/test/bench_pyperf.txt
The main speedups are confirmed, and maybe also accentuated. But some others are diminished or vanished. The most notable is pickle.dumps(). I have to say I did not really know why pickle.dumps() is faster on my pc in "normal" conditions. I wrote the implementation of pickle.dumps() in _pickle.c doing a quick copy/pasting of the dict and frozenset implementations. Indeed pickle.loads() is really slow. Furthermore, it seems that pyperf has not disabled ASLR. After `sudo python -m pyperf system tune`, ASRL continues to be in "Full randomization" mode. On Wed, 22 Jul 2020 at 07:48, Inada Naoki <songofaca...@gmail.com> wrote: > On Wed, Jul 22, 2020 at 7:31 AM Marco Sulla > <marco.sulla.pyt...@gmail.com> wrote: > > > > For benchmarks, I used simply timeit, with autorange and repeat and, as > suggested in the module documentation, I got the minimum of the results. > Here is the code: > > > > > https://github.com/Marco-Sulla/cpython/blob/master/frozendict/test/bench.py > > > > I strongly recommend to use pyperf for benchmarking. > Otherwise, you will see random performance changes caused by random > reasons including ASLR. > > https://pypi.org/project/pyperf/ > https://pyperf.readthedocs.io/en/latest/ > > Regards, > -- > Inada Naoki <songofaca...@gmail.com> >
_______________________________________________ Python-ideas mailing list -- python-ideas@python.org To unsubscribe send an email to python-ideas-le...@python.org https://mail.python.org/mailman3/lists/python-ideas.python.org/ Message archived at https://mail.python.org/archives/list/python-ideas@python.org/message/OBZLFK2EB2GTITNJYHHZBQU2VSHYWRY5/ Code of Conduct: http://python.org/psf/codeofconduct/
