def METHOD_NAME(self):
    np.random.seed(1)
    series = rt(length=50, mean=100)
    theta_param = np.random.randint(1, 5)
    theta = Theta(theta_param)
    fourtheta = FourTheta(theta_param, normalization=False)
    theta.fit(series)
    fourtheta.fit(series)
    forecast_theta = theta.predict(20)
    forecast_fourtheta = fourtheta.predict(20)
    weighted_delta = (forecast_theta - forecast_fourtheta) / forecast_theta
    assert (weighted_delta <= 3e-5).all().item()