On Wed, Nov 5, 2008 at 11:30 AM, Giovanni Samaey email@example.com wrote:
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
Hi, how about other seed values ? I thought seed=0, is (often) used to mean a "random", i.e. current time or alike, seed value ... !?