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POtimeit versus timing decorator
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copied!<p>I'm trying to time some code. First I used a timing decorator:</p> <pre><code>#!/usr/bin/env python import time from itertools import izip from random import shuffle def timing_val(func): def wrapper(*arg, **kw): '''source: http://www.daniweb.com/code/snippet368.html''' t1 = time.time() res = func(*arg, **kw) t2 = time.time() return (t2 - t1), res, func.__name__ return wrapper @timing_val def time_izip(alist, n): i = iter(alist) return [x for x in izip(*[i] * n)] @timing_val def time_indexing(alist, n): return [alist[i:i + n] for i in range(0, len(alist), n)] func_list = [locals()[key] for key in locals().keys() if callable(locals()[key]) and key.startswith('time')] shuffle(func_list) # Shuffle, just in case the order matters alist = range(1000000) times = [] for f in func_list: times.append(f(alist, 31)) times.sort(key=lambda x: x[0]) for (time, result, func_name) in times: print '%s took %0.3fms.' % (func_name, time * 1000.) </code></pre> <p>yields</p> <pre><code>% test.py time_indexing took 73.230ms. time_izip took 122.057ms. </code></pre> <p>And here I use timeit:</p> <pre><code>% python - m timeit - s '' 'alist=range(1000000);[alist[i:i+31] for i in range(0, len(alist), 31)]' 10 loops, best of 3: 64 msec per loop % python - m timeit - s 'from itertools import izip' 'alist=range(1000000);i=iter(alist);[x for x in izip(*[i]*31)]' 10 loops, best of 3: 66.5 msec per loop </code></pre> <p>Using timeit the results are virtually the same, but using the timing decorator it appears <code>time_indexing</code> is faster than <code>time_izip</code>.</p> <p>What accounts for this difference?</p> <p>Should either method be believed?</p> <p>If so, which?</p>

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