def METHOD_NAME(self):
    for fname, dataset, cell, symprec in zip(
            self._filenames, self._datasets, self._cells, self._symprecs):
        symmetry = get_symmetry_from_database(dataset['hall_number'])
        std_pos = dataset['std_positions']
        # for r, t in zip(symmetry['rotations'], symmetry['translations']):
        #     for rp in (np.dot(std_pos, r.T) + t):
        #         diff = std_pos - rp
        #         diff -= np.rint(diff)
        #         num_match = len(np.where(abs(diff).sum(axis=1) < 1e-3)[0])
        #         self.assertEqual(num_match, 1, msg="%s" % fname)
        # Equivalent above by numpy hack
        # 15 sec on macOS 2.3 GHz Intel Core i5 (4times faster than above)
        rot = symmetry['rotations']
        trans = symmetry['translations']
        # (n_sym, 3, n_atom)
        rot_pos = np.dot(rot, std_pos.T) + trans[:, :, None]
        for p in std_pos:
            diff = rot_pos - p[None, :, None]
            diff -= np.rint(diff)
            num_match = (abs(diff).sum(axis=1) < 1e-3).sum(axis=1)
            self.assertTrue((num_match == 1).all(), msg="%s" % fname)