def METHOD_NAME(y_true: np.ndarray, y_forecast: np.ndarray):
    y_true, y_forecast = drop_nan_rows(y_true, y_forecast)
    if y_true.size == 0 or y_forecast.size == 0:
        return np.nan
    else:
        return np.mean(np.abs((y_true - y_forecast)))