[Python-bugs-list] [ python-Bugs-474992 ] python version benchmark (original) (raw)
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Sat, 27 Oct 2001 20:25:46 -0700
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Bugs item #474992, was opened at 2001-10-25 11:43 You can respond by visiting: http://sourceforge.net/tracker/?func=detail&atid=105470&aid=474992&group_id=5470
Category: None Group: None Status: Open Resolution: None Priority: 5 Submitted By: Frederic Giacometti (giacometti) Assigned to: Nobody/Anonymous (nobody) Summary: python version benchmark
Initial Comment:
This is not a bug per se, but following instructions by Tim Peters the One :), I'm submitting here the benchmark script.
I'm getting currently the following final output (bench.txt):
version bench1 nogc bench2 1.5.2 0 % 2.0 48 % 33 % 21 % 2.1.1 53 % 35 % 25 % 2.2 51 % 35 % 23 %
where:
bench1 = original python 1.5.2 script nogc = bench1 when disabling gc bench2 = bench1 script 'rewritten' for python 2.0 and latter (string methods, sre -> pre...)
These numbers are high...
Frederic Giacometti
Comment By: Tim Peters (timone) Date: 2001-10-27 20:25
Message: Logged In: YES user_id=31435
And more from effbot:
""" doh. forgot to disable GC for 2.0 and later. with GC switched off, the difference is a bit smaller.
python 1.5: 1.02 seconds python 2.0: 1.30 seconds python 2.1: 1.20 seconds python 2.2: 1.05 seconds
now replace [None, None, None] with [item, item, item]:
python 1.5: 0.58 seconds python 2.0: 0.85 seconds python 2.1: 0.69 seconds python 2.2: 0.71 seconds
playing with other dosomething bodies (and with GC switched off), I've noticed that the following things has gotten slower from 1.5.2 to 2.2:
- concatenating strings (item+item+item is 20% slower)
- calling the float builtin using global lookup (20% slower)
- list and tuple forming using locals (10-20% slower) """
Comment By: Tim Peters (tim_one) Date: 2001-10-27 20:24
Message: Logged In: YES user_id=31435
Useful info from the effbot:
""" fwiw, here's the timings I get on a slow windows box (using PythonWare builds, and time.clock() instead of os.times()):
python 1.5: 2.01 python 2.0: 3.02 python 2.1: 3.00 python 2.2: 3.04
after playing some more, I ended up with this little benchmark:
def dosomething(item): return [None, None, None]
data = [None] * 100000
import time t1 = time.clock(); x = map(dosomething, data) t2 = time.clock() print t2 - t1
python 1.5: 1.02 seconds python 2.0: 1.95 seconds python 2.1: 1.85 seconds python 2.2: 1.90 seconds """
You can respond by visiting: http://sourceforge.net/tracker/?func=detail&atid=105470&aid=474992&group_id=5470
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