def METHOD_NAME(self):
    a = ma.Single_Qubit_RoundsToEvent_Analysis(
        t_start=self.start_timestamps[0],
        t_stop=self.stop_timestamps[0],
        options_dict={'typ_data_idx': 2})
    self.assertEqual(a.raw_data_dict['net_gate'][0], 'pi')
    self.assertEqual(a.raw_data_dict['sequence_type'][0], 'echo')
    self.assertEqual(a.raw_data_dict['feedback'][0], False)
    self.assertEqual(a.raw_data_dict['depletion_time'],
                     [1500, 1600, 1700, 1800])
    self.assertEqual(a.proc_data_dict['exp_pattern'], 'flipping')
    # Testing the data processing
    single_err_frac = np.array([0.55387247,  0.34473491,  0.30222331,
                                0.26948449])
    np.testing.assert_array_almost_equal(
        single_err_frac, a.proc_data_dict['frac_single'])
    double_err_frac = np.array([0.36339198,  0.18963832,  0.18035191,
                                0.15786901])
    np.testing.assert_array_almost_equal(
        double_err_frac, a.proc_data_dict['frac_double'])
    zero_err_frac = np.array([0.26868588,  0.41866146,  0.40937958,
                              0.42476795])
    np.testing.assert_array_almost_equal(
        zero_err_frac, a.proc_data_dict['frac_zero'])