I wonder if there is an efficient way to draw multinomial random samples. For

univariate sampling, we can do that for different parameters and desired

shape, but neither of rng nor multinomial function in numpy.random is able

to achieve that. To be specific, can we draw multinomial samples for

different probabilities and different n?

I asked the question on Stackoverflow here:

https://stackoverflow.com/questions/64529620/is-there-an-efficient-way-to-generate-multinomial-random-variables-in-parallel.

Seems like there isn't a function to do that.

Thank you and appreciate numpy,

Daniel

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