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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def rand(self, n=1):
 """ Generate random samples from the distribution Parameters n : int, optional(default=1) The number of samples to generate Returns ------- out : array_like The generated samples """

        if n == 1:
            return self._rand1()
        else:
            out = np.empty((n, self._p, self._p))
            for i in range(n):
                out[i] = self._rand1()

            return out