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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 mri_head_reco_op_32_channel():
 """Reconstruction operator for 32 channel MRI of a head. This is a T2 weighted TSE scan of a healthy volunteer. The reconstruction operator is the sum of the modulus of each channel. See the data source with DOI `10.5281/zenodo.800527`_ or the `project webpage`_ for further information. See Also -------- mri_head_data_32_channel References .. _10.5281/zenodo.800529: https://zenodo.org/record/800527 .. _project webpage: http://imsc.uni-graz.at/mobis/internal/\ platform_aktuell.html """

    # To get the same rotation as in the reference article
    space = odl.uniform_discr(min_pt=[-115.2, -115.2],
                              max_pt=[115.2, 115.2],
                              shape=[256, 256],
                              dtype=complex)

    trafo = odl.trafos.FourierTransform(space)

    return odl.ReductionOperator(odl.ComplexModulus(space) * trafo.inverse, 32)