On Thu, 2021-03-04 at 16:54 -0800, Stephan Hoyer wrote:
> I love your mittens!
>
> NumPy really should be in the NumFOCUS store, but it currently isn't:
> https://shop.spreadshirt.com/numfocus/all
>
Various items with the NumPy logo (text below cube) are now available
here from the NumFOCUS spre
What do you think is the explanation for that? I had assumed that using a
lookup table would be faster considering that the loggam implementation has
loops and makes calls to elementary functions in it.
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I did a quick test and using random_loggam was about 6% faster than using
logfactorial (on Windows).
Kevin
On Sun, Mar 7, 2021 at 2:40 AM Robert Kern wrote:
> On Sat, Mar 6, 2021 at 1:45 PM Warren Weckesser <
> warren.weckes...@gmail.com> wrote:
>
>> At the time, making that change was not a h
Thanks for the suggestion. However I was able to solve the issue I had by
just creating inline wrapper functions in cython for the C functions so I
dont have to link them when importing in other 3rd party cython modules.
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