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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 produce_fake_hash(x):
 """ Produce random, binary features, totally irrespective of the content of x, but in the same shape as x. """

    h = np.random.binomial(1, 0.5, (x.shape[0], 1024))
    packed = np.packbits(h, axis=-1).view(np.uint64)
    return zounds.ArrayWithUnits(
        packed, [x.dimensions[0], zounds.IdentityDimension()])