def METHOD_NAME(
    info,
    what="Height",
    below=None,
    above=None,
    relative_mean=False,
    relative_median=False,
    relative_max=False,
):
    if below is None and above is None:
        return info
    keep = np.full(len(info["Peaks"]), True)
    if relative_max is True:
        what = info[what] / np.max(info[what])
    elif relative_median is True:
        what = standardize(info[what], robust=True)
    elif relative_mean is True:
        what = standardize(info[what])
    else:
        what = info[what]
    if below is not None:
        keep[what > below] = False
    if above is not None:
        keep[what < above] = False
    info = _signal_findpeaks_filter(info, keep)
    return info