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

numpy.random.exponential — NumPy v1.16 Manual

scale : float or array_like of floats

The scale parameter, .

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 scale is a scalar. Otherwise, np.array(scale).size samples are drawn.

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