def METHOD_NAME(self):
    a = ma.Conditional_Oscillation_Analysis(
        t_start="20181126_131143", cal_points="gef"
    )
    qoi = a.proc_data_dict["quantities_of_interest"]
    print(qoi)
    extracted = np.array(
        [
            qoi["phi_cond"].nominal_value,
            qoi["phi_cond"].std_dev,
            qoi["phi_0"].nominal_value,
            qoi["phi_0"].std_dev,
            qoi["phi_1"].nominal_value,
            qoi["phi_1"].std_dev,
            qoi["osc_amp_0"].nominal_value,
            qoi["osc_amp_0"].std_dev,
            qoi["osc_amp_1"].nominal_value,
            qoi["osc_amp_1"].std_dev,
            qoi["offs_diff"].nominal_value,
            qoi["offs_diff"].std_dev,
            qoi["osc_offs_0"].nominal_value,
            qoi["osc_offs_0"].std_dev,
            qoi["osc_offs_1"].nominal_value,
            qoi["osc_offs_1"].std_dev,
        ]
    )
    expected = np.array(
        [
            7.139e01,
            1.077e00,
            8.753e01,
            5.926e-01,
            1.614e01,
            8.990e-01,
            4.859e-01,
            5.026e-03,
            4.792e-01,
            7.518e-03,
            1.225e-02,
            6.395e-03,
            4.869e-01,
            3.554e-03,
            4.992e-01,
            5.316e-03,
        ]
    )
    np.testing.assert_almost_equal(extracted, expected, decimal=2)