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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:
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.)