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from benchmarker import Benchmarker | |
from itertools import ifilter | |
f = lambda x: x % 2 | |
with Benchmarker(width=40, loop=1000) as bm: | |
for _ in bm('filter'): | |
list(filter(f, xrange(10000))) | |
for _ in bm('ifilter'): | |
list(ifilter(f, xrange(10000))) | |
for _ in bm('list comp'): | |
[x for x in xrange(10000) if f(x)] | |
for _ in bm('generator exp'): | |
list((x for x in xrange(10000) if f(x))) | |
""" | |
## benchmarker: release 3.0.1 (for python) | |
## python platform: linux2 [GCC 4.6.3] | |
## python version: 2.7.3 | |
## user sys total real | |
filter 1.0200 0.0000 1.0200 1.0633 | |
ifilter 1.3800 0.0100 1.3900 1.4401 | |
list comp 1.6700 0.0100 1.6800 1.7635 | |
generator exp 1.2800 0.0100 1.2900 1.3989 | |
## Ranking real | |
filter 1.0633 (100.0%) ************************* | |
generator exp 1.3989 ( 76.0%) ******************* | |
ifilter 1.4401 ( 73.8%) ****************** | |
list comp 1.7635 ( 60.3%) *************** | |
## Ratio Matrix real [01] [02] [03] [04] | |
[01] filter 1.0633 100.0% 131.6% 135.4% 165.9% | |
[02] generator exp 1.3989 76.0% 100.0% 103.0% 126.1% | |
[03] ifilter 1.4401 73.8% 97.1% 100.0% 122.5% | |
[04] list comp 1.7635 60.3% 79.3% 81.7% 100.0% | |
""" | |
""" | |
## benchmarker: release 3.0.1 (for python) | |
## python platform: linux2 [PyPy 2.5.1 with GCC 4.6.3] | |
## python version: 2.7.9 | |
## python executable: /home/nn/pypy/bin/python | |
## user sys total real | |
filter 0.2100 0.0000 0.2100 0.4034 | |
ifilter 2.3800 0.0200 2.4000 2.4312 | |
list comp 0.2500 0.0000 0.2500 0.2558 | |
generator exp 0.4900 0.0000 0.4900 0.4964 | |
## Ranking real | |
list comp 0.2558 (100.0%) ************************* | |
filter 0.4034 ( 63.4%) **************** | |
generator exp 0.4964 ( 51.5%) ************* | |
ifilter 2.4312 ( 10.5%) *** | |
## Ratio Matrix real [01] [02] [03] [04] | |
[01] list comp 0.2558 100.0% 157.7% 194.1% 950.6% | |
[02] filter 0.4034 63.4% 100.0% 123.0% 602.6% | |
[03] generator exp 0.4964 51.5% 81.3% 100.0% 489.8% | |
[04] ifilter 2.4312 10.5% 16.6% 20.4% 100.0% | |
""" |
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