def METHOD_NAME(
    n_timepoints=50,
    all_positive=True,
    index_type=None,
    make_X=False,
    n_columns=1,
    random_state=None,
):
    """Return test data for forecasting tests.
    Parameters
    ----------
    n_timepoints : int, optional
        Lenght of data, by default 50
    all_positive : bool, optional
        Only positive values or not, by default True
    index_type : e.g. pd.PeriodIndex, optional
        pandas Index type, by default None
    make_X : bool, optional
        Should X data also be returned, by default False
    n_columns : int, optional
        Number of columns of y, by default 1
    random_state : inst, str, float, optional
        Set seed of random state, by default None
    Returns
    -------
    ps.Series, pd.DataFrame
        y, if not make_X
        y, X if make_X
    """
    y = _make_series(
        n_timepoints=n_timepoints,
        n_columns=n_columns,
        all_positive=all_positive,
        index_type=index_type,
        random_state=random_state,
    )
    if not make_X:
        return y
    X = _make_series(
        n_timepoints=n_timepoints,
        n_columns=2,
        all_positive=all_positive,
        index_type=index_type,
        random_state=random_state,
    )
    X.index = y.index
    return y, X