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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_symmetry(cell, symprec=1e-5, angle_tolerance=-1.0):
 """This gives crystal symmetry operations from a crystal structure. Args: cell: Crystal structrue given either in Atoms object or tuple. In the case given by a tuple, it has to follow the form below, (Lattice parameters in a 3x3 array (see the detail below), Fractional atomic positions in an Nx3 array, Integer numbers to distinguish species in a length N array, (optional) Collinear magnetic moments in a length N array), where N is the number of atoms. Lattice parameters are given in the form: [[a_x, a_y, a_z], [b_x, b_y, b_z], [c_x, c_y, c_z]] symprec: float: Symmetry search tolerance in the unit of length. angle_tolerance: float: Symmetry search tolerance in the unit of angle deg. If the value is negative, an internally optimized routine is used to judge symmetry. Return: A dictionary: Rotation parts and translation parts. Dictionary keys: 'rotations': Gives the numpy 'intc' array of the rotation matrices. 'translations': Gives the numpy 'double' array of fractional translations with respect to a, b, c axes. """

    _set_no_error()

    lattice, positions, numbers, magmoms = _expand_cell(cell)
    if lattice is None:
        return None

    multi = 48 * len(positions)
    rotation = np.zeros((multi, 3, 3), dtype='intc')
    translation = np.zeros((multi, 3), dtype='double')

    # Get symmetry operations
    if magmoms is None:
        dataset = get_symmetry_dataset(cell,
                                       symprec=symprec,
                                       angle_tolerance=angle_tolerance)
        if dataset is None:
            return None
        else:
            return {'rotations': dataset['rotations'],
                    'translations': dataset['translations'],
                    'equivalent_atoms': dataset['equivalent_atoms']}
    else:
        equivalent_atoms = np.zeros(len(magmoms), dtype='intc')
        num_sym = spg.symmetry_with_collinear_spin(rotation,
                                                   translation,
                                                   equivalent_atoms,
                                                   lattice,
                                                   positions,
                                                   numbers,
                                                   magmoms,
                                                   symprec,
                                                   angle_tolerance)
        _set_error_message()
        if num_sym == 0:
            return None
        else:
            return {'rotations': np.array(rotation[:num_sym],
                                          dtype='intc', order='C'),
                    'translations': np.array(translation[:num_sym],
                                             dtype='double', order='C'),
                    'equivalent_atoms': equivalent_atoms}