Access method for distribution-sampled random numbers generation in Numpy

I am interested in knowing which method Numpy uses in numpy.random to generate random numbers distributed as beta, lognormal, Weibull distributions, among others. In the documentation they often discuss the shape of the distribution, but how can I access to the method? For example, in numpy.random.chisquare() the method is expained, but not in others.