How to use the ms2pip.cython_modules.ms2pip_pyx.get_vector_ce function in ms2pip

try:
                        colen = int(float(ces[title]))
                    except:
                        sys.stderr.write("Could not parse collision energy!\n")
                        continue

                if vector_file:
                    # get targets
                    targets = ms2pip_pyx.get_targets(
                        modpeptide, msms, peaks, float(fragerror), peaks_version
                    )
                    psmids.extend([title] * (len(targets[0])))
                    if "ce" in data.columns:
                        dvectors.append(
                            np.array(
                                ms2pip_pyx.get_vector_ce(
                                    peptide, modpeptide, charge, colen
                                ),
                                dtype=np.uint16,
                            )
                        )  # SD: added collision energy
                    else:
                        dvectors.append(
                            np.array(
                                ms2pip_pyx.get_vector(peptide, modpeptide, charge),
                                dtype=np.uint16,
                            )
                        )

                    # Collecting targets to dict; works for variable number of ion types
                    # For C-term ion types (y, y++, z), flip the order of targets,
                    # for correct order in vectors DataFrame