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 ... !?
Not in this case: I always get the same sequence with seed=0 (different for both implementation, but the same each time I run it.) I got around it by installing pygsl and taking random numbers from there instead of from numpy.
But I still find it strange to get two different sequences from two implementation that claim to be the same algorithm...
-Sebastian Haase _______________________________________________ Numpy-discussion mailing list Numpyfirstname.lastname@example.org http://projects.scipy.org/mailman/listinfo/numpy-discussion