def METHOD_NAME(self):
    """
    Test for lindblad noise and different tlist
    """
    coeff = np.array([0.1, 0.2, 0.3, 0.4])
    tlist = np.array([0., 1., 2., 3.])
    ham = sigmaz()
    pulse1 = Pulse(ham, 1, tlist, coeff)
    # Add coherent noise and lindblad noise with different tlist
    pulse1.spline_kind = "step_func"
    tlist_noise = np.array([0., 1., 2.5, 3.])
    coeff_noise = np.array([0., 0.5, 0.1, 0.5])
    pulse1.add_coherent_noise(sigmay(), 0, tlist_noise, coeff_noise)
    tlist_noise2 = np.array([0., 0.5, 2, 3.])
    coeff_noise2 = np.array([0., 0.1, 0.2, 0.3])
    pulse1.add_lindblad_noise(sigmax(), 1, coeff=True)
    pulse1.add_lindblad_noise(
        sigmax(), 0, tlist=tlist_noise2, coeff=coeff_noise2)
    assert_allclose(
        pulse1.get_ideal_qobjevo(2)(0).full(),
        tensor(identity(2), sigmaz()).full() * 0.1)
    noise_qu, c_ops = pulse1.get_noisy_qobjevo(2)
    assert_allclose(
        pulse1.get_full_tlist(), np.array([0., 0.5,  1., 2., 2.5, 3.]))
    if parse_version(qutip.__version__) >= parse_version('5.dev'):
        expected = QobjEvo([
                [tensor(identity(2), sigmaz()),
                    np.array([0.1, 0.1, 0.2, 0.3, 0.3, 0.4])],
                [tensor(sigmay(), identity(2)),
                    np.array([0., 0., 0.5, 0.5, 0.1, 0.5])]
            ],
            tlist=np.array([0., 0.5,  1., 2., 2.5, 3.]),
            order=0)
    else:
        expected = QobjEvo([
                [tensor(identity(2), sigmaz()),
                    np.array([0.1, 0.1, 0.2, 0.3, 0.3, 0.4])],
                [tensor(sigmay(), identity(2)),
                    np.array([0., 0., 0.5, 0.5, 0.1, 0.5])]
            ],
            tlist=np.array([0., 0.5,  1., 2., 2.5, 3.]),
            args={"_step_func_coeff": True})
    _compare_qobjevo(noise_qu, expected, 0, 3)
    for c_op in c_ops:
        try:
            isconstant = c_op.isconstant
        except AttributeError:
            isconstant = (len(c_op.ops) == 0)
        if isconstant:
            assert_allclose(c_op(0).full(),
                            tensor(identity(2), sigmax()).full())
        else:
            if parse_version(qutip.__version__) >= parse_version('5.dev'):
                expected = QobjEvo(
                    [tensor(sigmax(), identity(2)),
                        np.array([0., 0.1, 0.1, 0.2, 0.2, 0.3])],
                    tlist=np.array([0., 0.5,  1., 2., 2.5, 3.]),
                    order=0)
            else:
                expected = QobjEvo(
                    [tensor(sigmax(), identity(2)),
                        np.array([0., 0.1, 0.1, 0.2, 0.2, 0.3])],
                    tlist=np.array([0., 0.5,  1., 2., 2.5, 3.]),
                    args={"_step_func_coeff": True})
            _compare_qobjevo(c_op, expected, 0, 3)