Hello, and thanks for all your work on the amazing numpy.
I'm using np.memmap() with great success for memory mapping WAV audio
files, with one tiny blemish - the WAV spec wants me to sometimes put one
byte after the list of samples that I'm memory mapping, which I can't do
easily when writing a n
I'm just a lurker, but I spent a minute or two to look at that commit,
which looks to be high quality. While I personally have not used this
distribution, people I know use it all the time (for ML).
A quibble:
#define NPY_PI 3.141592653589793238462643383279502884 /* pi */
and the following def
Well, I can tell you why it needs to be backward compatible! I use random
numbers fairly frequently, and to unit test them I set a specific seed and
then make sure I get the same answers.
If your change went in (and I were using numpy normal distributions, which
I am not) then my tests would brea
