What is the maximum number of pseudo-random numbers that can be generated with numpy.random before the sequence begins to repeat?

I need to generate many hundreds of millions of random numbers for a clustering analysis. I am using numpy.random and was wondering if anyone knows the maximum number of pseudo-randoms that can be generated with numpy.random before the sequence begins to repeat? A quick look in the numpy documentation didn't help.

I know I can generate numbers in chunks using different seeds, but I'm curious as to the maxmium number.

Thanks!