def METHOD_NAME(self):
    a = ma.Single_Qubit_RoundsToEvent_Analysis(
        t_start=self.start_timestamps[2],
        t_stop=self.stop_timestamps[2],
        options_dict={'typ_data_idx': 2})
    self.assertEqual(a.raw_data_dict['net_gate'][0], 'i')
    self.assertEqual(a.raw_data_dict['feedback'][0], False)
    self.assertEqual(a.raw_data_dict['sequence_type'][0], 'echo')
    self.assertEqual(a.raw_data_dict['depletion_time'],
                     [1500, 1600, 1700, 1800])
    self.assertEqual(a.proc_data_dict['exp_pattern'], 'constant')
    # Testing the data processing
    single_err_frac = np.array([0.26459809,  0.24383093,  0.23039335,
                                0.18983631])
    np.testing.assert_array_almost_equal(
        single_err_frac, a.proc_data_dict['frac_single'])
    double_err_frac = np.array([0.11852395,  0.10215054,  0.10166178,
                                0.07917889])
    np.testing.assert_array_almost_equal(
        double_err_frac, a.proc_data_dict['frac_double'])
    zero_err_frac = np.array([0.6802638,  0.60820713,  0.5456766,
                              0.52149487])
    np.testing.assert_array_almost_equal(
        zero_err_frac, a.proc_data_dict['frac_zero'])