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

shape : float or array_like of floats: The shape of the gamma distribution. Should be greater than zero.
scale : float or array_like of floats, optional: The scale of the gamma distribution. Should be greater than zero. Default is equal to 1.
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 shape and scale are both scalars. Otherwise, np.broadcast(shape, scale).size samples are drawn.

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