Hi,
On 2/26/12 12:35 PM, Serhiy Storchaka wrote:
> Some microbenchmarks:
>
> $ python -m timeit -n 10000 -r 100 -s "x = 123" "'foobarbaz_%d' % x"
> 10000 loops, best of 100: 1.24 usec per loop
> $ python -m timeit -n 10000 -r 100 -s "x = 123" "str('foobarbaz_%d') % x"
> 10000 loops, best of 100: 1.59 usec per loop
> $ python -m timeit -n 10000 -r 100 -s "x = 123" "str(u'foobarbaz_%d') % x"
> 10000 loops, best of 100: 1.58 usec per loop
> $ python -m timeit -n 10000 -r 100 -s "x = 123; n = lambda s: s"
"n('foobarbaz_%d') % x"
> 10000 loops, best of 100: 1.41 usec per loop
> $ python -m timeit -n 10000 -r 100 -s "x = 123; s = 'foobarbaz_%d'" "s
% x"
> 10000 loops, best of 100: 1.22 usec per loop
>
> There are no significant overhead to use converters.
That's because what you're benchmarking here more than anything is the
overhead of eval() :-) See the benchmark linked in the PEP for one that
measures the actual performance of the string literal / wrapper.
Regards,
Armin
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