New submission from Brian Kearns <[email protected]>:
for list, performance looks not that different:
$ ./pypy/goal/pypy-c -m timeit -s "a = 'abc'" "'abc' in ('123', '456', 'abc',
'def')"
1000000000 loops, best of 3: 0.00107 usec per loop
$ ./pypy/goal/pypy-c -m timeit -s "a = 'abc'" "a in ('123', '456', 'abc',
'def')"
100000000 loops, best of 3: 0.00292 usec per loop
for set:
$ ./pypy/goal/pypy-c -m timeit -s "a = 'abc'" "'abc' in {'123', '456', 'abc',
'def'}"
1000000000 loops, best of 3: 0.00107 usec per loop
$ ./pypy/goal/pypy-c -m timeit -s "a = 'abc'" "a in {'123', '456', 'abc',
'def'}"
10000000 loops, best of 3: 0.025 usec per loop
looks like in the last case an optimization that is applied to list is not
applied to set?
----------
messages: 5521
nosy: bdk, pypy-issue
priority: performance bug
status: unread
title: missed optimization on set contains
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PyPy bug tracker <[email protected]>
<https://bugs.pypy.org/issue1436>
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