[Speed] Should we change what benchmarks we have?

[Yury Selivanov]

On 2016-02-11 6:06 PM, Antoine Pitrou wrote:
> On Thu, 11 Feb 2016 17:50:05 -0500
> Yury Selivanov <yselivanov.ml at gmail.com>
> wrote:
>> Right now, spectral_norm is 50% faster on python 2 (when compared to 3.5).
> spectral_norm is really a horrid benchmark.
>
>> Yes, spectral_norm is micro-benchmark, but still, there is a lot of
>> python code out there that does some calculation in pure Python not
>> involving numpy or pypy.
> Can you clarify "a lot"?

Any code that occasionally uses "int [op] int" code.  That code becomes 
faster (especially if it's small ints).  In tight loops significantly 
faster (that's what spectral_norm is doing).

Look at the pillow package, for instance [1] -- just one of the first 
packages I thought of -- something non-scientific that happens to do 
some calculations here and there.

Unless 21955 makes numpy code slower, I'm not sure why we're discussing 
this.

Yury

[1] https://github.com/python-pillow/Pillow