[Numpy-discussion] random number generation in python compared to gsl
Wed Nov 5 05:28:05 CST 2008
On Wed, Nov 5, 2008 at 11:30 AM, Giovanni Samaey
> Hi all,
> I have a question concerning the Mersenne Twister random number generation
> in numpy: when I seed it with 0, I get a different sequence of numbers in
> numpy, compared to GSL.
> In numpy:
> r = numpy.Random.RandomState(seed=0)
> r.uniform(size=5) ----> array([ 0.5488135 , 0.71518937, 0.60276338,
> 0.54488318, 0.4236548 ])
> whereas in GSL the first numbers are
> 0.99974 0.16291 0.2826 0.94720 0.23166
> Matlab gives the same result as numpy...
> I have translated some python code to c, and would like to debug it --
> therefore, I would like to have exactly the same set of random numbers...
> How can I provoke this ?
how about other seed values ? I thought seed=0, is (often) used to
mean a "random", i.e. current time or alike, seed value ... !?
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