How to use the tweakwcs.tpwcs.JWSTgWCS function in tweakwcs

self._partial_tpcorr = JWSTgWCS._v2v3_to_tpcorr_from_full(self._tpcorr)

            idx_v2v3 = frms.index(self._v23name)
            pipeline = deepcopy(self._wcs.pipeline)
            pf, pt = pipeline[idx_v2v3]
            pipeline[idx_v2v3] = (pf, deepcopy(self._tpcorr))
            frm_v2v3corr = deepcopy(pf)
            frm_v2v3corr.name = 'v2v3corr'
            pipeline.insert(idx_v2v3 + 1, (frm_v2v3corr, pt))
            self._wcs = gwcs.WCS(pipeline, name=self._owcs.name)
            self._v23name = 'v2v3corr'

        else:
            # combine old and new corrections into a single one and replace
            # old transformation with the combined correction transformation:
            JWSTgWCS._tpcorr_combine_affines(
                self._tpcorr,
                matrix,
                _ARCSEC2RAD * np.asarray(shift)
            )

            self._partial_tpcorr = JWSTgWCS._v2v3_to_tpcorr_from_full(self._tpcorr)

            idx_v2v3 = frms.index(self._v23name)
            pipeline = deepcopy(self._wcs.pipeline)
            pipeline[idx_v2v3 - 1] = (pipeline[idx_v2v3 - 1][0],
                                      deepcopy(self._tpcorr))
            self._wcs = gwcs.WCS(pipeline, name=self._owcs.name)

        # reset definitions of the transformations from detector/world
        # coordinates to the tangent plane:
        self._update_transformations()

frm_v2v3corr = deepcopy(pf)
            frm_v2v3corr.name = 'v2v3corr'
            pipeline.insert(idx_v2v3 + 1, (frm_v2v3corr, pt))
            self._wcs = gwcs.WCS(pipeline, name=self._owcs.name)
            self._v23name = 'v2v3corr'

        else:
            # combine old and new corrections into a single one and replace
            # old transformation with the combined correction transformation:
            JWSTgWCS._tpcorr_combine_affines(
                self._tpcorr,
                matrix,
                _ARCSEC2RAD * np.asarray(shift)
            )

            self._partial_tpcorr = JWSTgWCS._v2v3_to_tpcorr_from_full(self._tpcorr)

            idx_v2v3 = frms.index(self._v23name)
            pipeline = deepcopy(self._wcs.pipeline)
            pipeline[idx_v2v3 - 1] = (pipeline[idx_v2v3 - 1][0],
                                      deepcopy(self._tpcorr))
            self._wcs = gwcs.WCS(pipeline, name=self._owcs.name)

        # reset definitions of the transformations from detector/world
        # coordinates to the tangent plane:
        self._update_transformations()

        # save linear transformation info to the meta attribute:
        super().set_correction(matrix=matrix, shift=shift, meta=meta, **kwargs)