On Thu, Jun 27, 2019 at 12:23:24PM -0400, nate lust wrote: > If you have a > bench mark you prefer I would be happy to run it against my changes and > mainline python 3.7 to see how they compare.
Ultimately it will probably need to run against this: https://github.com/python/pyperformance for 3.8 and 3.9 alpha but we can start with some quick and dirty tests using timeit. Let's say: def test(): n = 0 def inner(): global g nonlocal n n = g x = n g = x y = x z = y return x for i in range(100): a = inner() from timeit import Timer t = Timer("test()", setup="from __main__ import test; g=0") t.repeat(repeat=5) I'm not speaking officially, but I would say that if this slows down regular assignments by more than 5%, the idea is dead in the water; if it slows it down by less than 1%, the performance objection is satisfied; between 1 and 5 means we get to argue cost versus benefit. (The above is just my opinion. Others may disagree.) -- Steven _______________________________________________ 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/SJBOCUI22E36XSIDQBD5GYLATBJRVLIX/ Code of Conduct: http://python.org/psf/codeofconduct/
