I'm suspicious of pyperformance testing for this reason: The point of Python is operating OK despite GIL because "most of the time is spent in 'external' libraries."
Pyperformance tests "typical" python performance where supposedly most tests are "ok" despite GIL. You need multithreading in atypical situations which may involve a lot of raw-python-object "thrashing," with high ref-counting, locks, etc. How do we know that pyperformance actually tests these cases well? _______________________________________________ Python-Dev mailing list -- python-dev@python.org To unsubscribe send an email to python-dev-le...@python.org https://mail.python.org/mailman3/lists/python-dev.python.org/ Message archived at https://mail.python.org/archives/list/python-dev@python.org/message/UA4VX3JFRRHI6TXPEBCZRWSPDOWQWM2G/ Code of Conduct: http://python.org/psf/codeofconduct/
