def METHOD_NAME() -> None:
    """Test for cepstral_correlation_coef function"""
    np.random.seed(0)
    n_basis = 4
    sig_len = 100
    n_bands = 2
    random_sig1 = 100 * np.random.normal(size=(sig_len, n_bands))
    random_sig2 = 100 * np.random.normal(size=(sig_len, n_bands))
    ref_cep, proc_cep = cepstral_correlation_coef(
        reference_db=random_sig1,
        processed_db=random_sig1 + random_sig2,
        thresh_cep=10.0,
        thresh_nerve=10.0,
        nbasis=n_basis,
    )
    assert ref_cep.shape == (72, n_basis)
    assert proc_cep.shape == (72, n_basis)
    assert np.mean(np.abs(ref_cep)) == pytest.approx(
        82.4395877477838, rel=pytest.rel_tolerance, abs=pytest.abs_tolerance
    )
    assert np.mean(np.abs(proc_cep)) == pytest.approx(
        110.74820232861624, rel=pytest.rel_tolerance, abs=pytest.abs_tolerance
    )