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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 get_stabilized_reciprocal_mesh(mesh, rotations, is_shift=None, is_time_reversal=True, qpoints=None, is_dense=False):
 """Return k-point map to the irreducible k-points and k-point grid points. The symmetry is searched from the input rotation matrices in real space. Parameters mesh : array_like Uniform sampling mesh numbers. dtype='intc', shape=(3,) rotations : array_like Rotation matrices with respect to real space basis vectors. dtype='intc', shape=(rotations, 3) is_shift : array_like [0, 0, 0] gives Gamma center mesh and value 1 gives half mesh shift. dtype='intc', shape=(3,) is_time_reversal : bool Time reversal symmetry is included or not. qpoints : array_like q-points used as stabilizer(s) given in reciprocal space with respect to reciprocal basis vectors. dtype='double', shape=(qpoints ,3) or (3,) is_dense : bool, optional grid_mapping_table is returned with dtype='uintp' if True. Otherwise its dtype='intc'. Default is False. Returns ------- grid_mapping_table : ndarray Grid point mapping table to ir-gird-points. dtype='intc', shape=(prod(mesh),) grid_address : ndarray Address of all grid points. Each address is given by three unsigned integers. dtype='intc', shape=(prod(mesh), 3) """

    _set_no_error()

    if is_dense:
        dtype = 'uintp'
    else:
        dtype = 'intc'
    mapping_table = np.zeros(np.prod(mesh), dtype=dtype)
    grid_address = np.zeros((np.prod(mesh), 3), dtype='intc')
    if is_shift is None:
        is_shift = [0, 0, 0]
    if qpoints is None:
        qpoints = np.array([[0, 0, 0]], dtype='double', order='C')
    else:
        qpoints = np.array(qpoints, dtype='double', order='C')
        if qpoints.shape == (3,):
            qpoints = np.array([qpoints], dtype='double', order='C')

    if spg.stabilized_reciprocal_mesh(
            grid_address,
            mapping_table,
            np.array(mesh, dtype='intc'),
            np.array(is_shift, dtype='intc'),
            is_time_reversal * 1,
            np.array(rotations, dtype='intc', order='C'),
            qpoints) > 0:
        return mapping_table, grid_address
    else:
        return None