One thing missing from random is a mechanism to share a single underlying
rng with other code that is not part of numpy.random.
For example, I have code that generates distributions that expect a mersenne
twister (the shared, underlying rng) to be passed in as a constructor
argument.
Neal Becker wrote:
One thing missing from random is a mechanism to share a single underlying
rng with other code that is not part of numpy.random.
For example, I have code that generates distributions that expect a mersenne
twister (the shared, underlying rng) to be passed in as a
