Chris wrote:

There appears to be a bug in numpy's hypergeometric random number generator. Here is an example -- if I generate 1000 hg samples with 4 draws from a space with 30 successes and 10 failures:

In [39]: x = hg(30, 10, 4, 1000)

I should get a mean value of:

In [40]: 4*30./40 Out[40]: 3.0

But the sample mean is way to small:

In [41]: mean(x) Out[41]: 0.996

Fixed in r4527. My original source for the algorithm was incorrect, it seems. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco