def METHOD_NAME():
    """Test for initialise parameters."""
    model = Hidalgo(K=2, n_iter=10, burn_in=0.5, sampling_rate=2, seed=1)
    N = 10
    mu = np.array(
        [
            1.464722,
            5.40974013,
            2.464722,
            4.78175011,
            1.17460641,
            1.95890874,
            1.05863706,
            1.06313386,
            1.85040636,
            1.28065266,
        ]
    )
    Iin = np.array(
        [
            2,
            4,
            7,
            3,
            9,
            4,
            0,
            4,
            7,
            1,
            4,
            9,
            0,
            9,
            3,
            8,
            6,
            9,
            8,
            5,
            9,
            5,
            8,
            9,
            5,
            6,
            7,
            5,
            7,
            4,
        ]
    )
    _rng = check_random_state(model.seed)
    (
        V_actual,
        NN_actual,
        a1_actual,
        b1_actual,
        c1_actual,
        Z_actual,
        f1_actual,
        N_in_actual,
    ) = model._initialise_params(N, mu, Iin, _rng)
    V_expected = [2.7142554736925324, 3.6367957651001124]
    NN_expected = [3, 7]
    a1_expected = np.array([4.0, 8.0])
    b1_expected = np.array([3.71425547, 4.63679577])
    c1_expected = np.array([4.0, 8.0])
    Z_expected = np.array([1, 1, 0, 0, 1, 1, 1, 1, 1, 0])
    f1_expected = np.array([15.0, 17.0])
    N_in_expected = 14
    assert np.allclose(V_actual, V_expected)
    assert np.allclose(NN_actual, NN_expected)
    assert np.allclose(a1_actual, a1_expected)
    assert np.allclose(b1_actual, b1_expected)
    assert np.allclose(c1_actual, c1_expected)
    assert np.allclose(Z_actual, Z_expected)
    assert np.allclose(f1_actual, f1_expected)
    assert N_in_actual == N_in_expected