On 12/20/2010 10:49 PM, josef.p...@gmail.com wrote:
> What's the difference between a numpy Random and a python
> random.Random instance of separate states of the random number
> generators?

Sorry, I don't understand the question.  The difference
for my use is that a np.RandomState instance provides
access to a different set of methods, which unfortunately
does not include an equivalent to random.Random's sample
method but which does include others I need.

Would it be appropriate to request that an analog
to random.sample be added to numpy.random?
(It might sample only a range, since producing indexes
would provide the base functionality.)
Or is this functionality absent intentionally?


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