> > > So on my laptop try:except: function loses about 5% to regex - probably
> > > it depends on hardware/OS.
>
> > Interesting, which python/platform are you using ?
>
> Python 2.5.2 (r252:60911, Jul 31 2008, 17:28:52)
> [GCC 4.2.3 (Ubuntu 4.2.3-2ubuntu7)] on linux2
Hm, is it perhaps 32bit ? That could be related to int performance...
> > b...@black:/tmp$ python -m timeit "s=[str(i) for i in range(10000)]"
> > "import re" "integer_pat=re.compile('[+-]?[0-9]{1,15}$')"
> > "is_integer=integer_pat.match"
> > 100 loops, best of 3: 3.64 msec per loop
>
> Hmm? No loop...
Timeit loops, it is looping over your code. So, the above means timeit
ran the code 100 times.
> I'm sorry, how do you get 6.2x?
> 9.87/ 4.63 =2.13 here...
Subtract the init (3.6msec) time from both. just wanted to avoid the
extra cost of the import. However, even when doing it 'more right' I'm
getting a significantly larger number (although unlike my firrst
example this does not take into account the varying length of
strings).
blinky:~# python -m timeit -s "import re" -s "integer_pat=re.compile
('[0-9]+$')" -s "is_integer=integer_pat.match" "is_integer('123')"
1000000 loops, best of 3: 0.574 usec per loop
blinky:~# python -m timeit "'123'.isdigit()"
10000000 loops, best of 3: 0.141 usec per loop
The problem of your methodology (timing a total run) is that you're
averaging out results and polluting the results with load noise from
the OS and other apps. Timeit (among other neat tricks) counts the
timing of the *BEST* iterations. If one was slower than the other,
that means that the other got interrupted somewhere (disk, app,
multitaskting, etc).
See http://docs.python.org/library/timeit.html , it's quite useful.
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