def METHOD_NAME(self):
    # Run full analysis to produce the plots
    # Commented out cause it takes a lot of time to generate plots
    # Here for debugging reference
    # ma.RandomizedBenchmarking_TwoQubit_Analysis(
    #     t_start="20200720_215813",
    #     rates_I_quad_ch_idxs=[0, 2],
    # )
    # ma.RandomizedBenchmarking_TwoQubit_Analysis(
    #     t_start="20200720_223359",
    #     rates_I_quad_ch_idxs=[0, 2],
    # )
    # ma.RandomizedBenchmarking_TwoQubit_Analysis(
    #     t_start="20200720_230928",
    #     rates_I_quad_ch_idxs=[0, 2],
    # )
    a = ma.InterleavedRandomizedBenchmarkingAnalysis(
        ts_base="20200720_215813",
        ts_int="20200720_223359",
        ts_int_idle="20200720_230928",
        rates_I_quad_ch_idxs=[0, 2],
    )
    qois = a.proc_data_dict["quantities_of_interest"]
    qois_values = {
        'eps_simple_2Q_ref': 0.04607,
        'eps_X1_2Q_ref': 0.05743,
        'L1_2Q_ref': 0.008230,
        'L2_2Q_ref': 0.0041501,
        'eps_simple_2Q_int': 0.058965,
        'eps_X1_2Q_int': 0.0784,
        'L1_2Q_int': 0.015203,
        'L2_2Q_int': 0.005343,
        'eps_CZ_X1': 0.02223,
        'eps_CZ_simple': 0.013515,
        'L1_CZ': 0.007031,
        'eps_simple_2Q_int_idle': 0.07064,
        'eps_X1_2Q_int_idle': 0.08811,
        'L1_2Q_int_idle': 0.006986,
        'L2_2Q_int_idle': 0.005116,
        'eps_idle_X1': 0.03254,
        'eps_idle_simple': 0.0257,
        'L1_idle': -0.0012543,
        'L1_CZ_naive': 0.005494,
        'eps_CZ_simple_naive': 0.030955,
        'eps_CZ_X1_naive': 0.03866,
    }
    for val_name, val in qois_values.items():
        self.assertAlmostEqual(qois[val_name].n, val, places=3)