[Numpy-discussion] random number generation in python compared to gsl

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 ?

Best.

Giovanni