How to use the ms2pip.feature_names.get_feature_names_new function in ms2pip

if "ce" in data.columns:
        specdict = (
            data[["spec_id", "peptide", "modifications", "ce"]]
            .set_index("spec_id")
            .to_dict()
        )
        ces = specdict["ce"]
    else:
        specdict = (
            data[["spec_id", "peptide", "modifications"]].set_index("spec_id").to_dict()
        )
    peptides = specdict["peptide"]
    modifications = specdict["modifications"]

    # cols contains the names of the computed features
    cols_n = get_feature_names_new()
    if "ce" in data.columns:
        cols_n.append("ce")
    # cols_n = get_feature_names_catboost()

    # SD
    dvectors = []
    dtargets = dict()
    psmids = []

    mz_buf = []
    target_buf = []
    prediction_buf = []
    peplen_buf = []
    charge_buf = []
    pepid_buf = []