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Thu Jun 8 14:54:36 CEST 2006 · https://mail.python.org/pipermail/python-dev/2006-June/065696.html

Fredrik Lundh wrote:
> M.-A. Lemburg wrote:
> 
>> The pybench results match those of timeit.py on my test machine
>> in both cases.
> 
> but they don't match the timeit results on similar machines, nor do they 
> reflect what was done at the sprint.

Huh ? They do show the speedups you achieved at the sprint.

>> Tools/pybench> ~/projects/Python/Installation/bin/python Calls.py
>> 10 loops, best of 3: 21.8 msec per loop
> 
> 10 loops ?
> 
> what happens if you run the actual test code (the stuff inside the for 
> loop) inside timeit, instead of running your test loop inside timeit?

More or less the same results:

Python 2.4:

Tools/pybench> python Calls.py
100000 loops, best of 3: 18.9 usec per loop
Tools/pybench> python Calls.py
100000 loops, best of 3: 18.8 usec per loop
Tools/pybench> python Calls.py
100000 loops, best of 3: 18.7 usec per loop

Python 2.5 (trunk as-of 2006-06-08):

Tools/pybench> ~/projects/Python/Installation/bin/python Calls.py
10000 loops, best of 3: 22.9 usec per loop
Tools/pybench> ~/projects/Python/Installation/bin/python Calls.py
10000 loops, best of 3: 23.7 usec per loop
Tools/pybench> ~/projects/Python/Installation/bin/python Calls.py
10000 loops, best of 3: 23.4 usec per loop

I've attached the modified Call.py below so that you can
run it as well.

All this on AMD64, Linux2.6, gcc3.3.

-- 
Marc-Andre Lemburg
eGenix.com

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