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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 as_spinor_array(a):
 """View a quaternion array as spinors in two-complex representation This function is relatively slow and scales poorly, because memory copying is apparently involved -- I think it's due to the "advanced indexing" required to swap the columns. """

    a = np.atleast_1d(a)
    assert a.dtype == np.dtype(np.quaternion)
    # I'm not sure why it has to be so complicated, but all of these steps
    # appear to be necessary in this case.
    return a.view(np.float).reshape(a.shape + (4,))[..., [0, 3, 2, 1]].ravel().view(np.complex).reshape(a.shape + (2,))