def METHOD_NAME(trivariate_data, config):
    y, x = trivariate_data
    leads, lags = config[0]
    expected = np.array(config[1])
    params = expected[:, 0]
    se = expected[:, 1]
    res = DynamicOLS(y, x).fit(bandwidth=1, df_adjust=True)
    assert res.leads == leads
    assert res.lags == lags
    assert_allclose(res.params, params, rtol=1e-4)
    assert_allclose(res.std_errors, se, rtol=1e-4)