Performance of int/long in Python 3

[Chris Angelico]

On Tue, Apr 2, 2013 at 6:15 AM, jmfauth <wxjmfauth at gmail.com> wrote:
> Py32
>>>> import timeit
>>>> timeit.repeat("'a' * 1000 + 'ẞ'")
> [0.7005365263669056, 0.6810694766790423, 0.6811978680727229]
>>>> timeit.repeat("'a' * 1000 + 'z'")
> [0.7105829560031083, 0.6904999426964764, 0.6938637184431968]
>
> Py33
> import timeit
> timeit.repeat("'a' * 1000 + 'ẞ'")
> [1.1484035160337613, 1.1233738895227505, 1.1215708962703874]
> timeit.repeat("'a' * 1000 + 'z'")
> [0.6640958193635527, 0.6469043692851528, 0.6458961423900007]

This is what's called a microbenchmark. Can you show me any instance
in production code where an operation like this is done repeatedly, in
a time-critical place? It's a contrived example, and it's usually
possible to find regressions in any system if you fiddle enough with
the example. Do you have, for instance, a web server that can handle
1000 tps on 3.2 and only 600 tps on 3.3, all other things being equal?

ChrisA