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Showing content from https://docs.scipy.org/doc/numpy-1.16.0/reference/generated/numpy.random.beta.html below:

numpy.random.beta — NumPy v1.16 Manual

a : float or array_like of floats

Alpha, positive (>0).

b : float or array_like of floats

Beta, positive (>0).

size : int or tuple of ints, optional

Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. If size is None (default), a single value is returned if a and b are both scalars. Otherwise, np.broadcast(a, b).size samples are drawn.

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