0780f7ce1d347c7f20591865451aa5583d5dfcb6,src/crosscat.py,CrosscatMetamodel,row_column_predictive_probability,#CrosscatMetamodel#Any#Any#Any#Any#Any#,744

Before Change

        r = self._crosscat.simple_predictive_probability_multistate(
            M_c=M_c,
            X_L_list=self._crosscat_latent_state(bdb, generator_id, modelno),
            X_D_list=self._crosscat_latent_data(bdb, generator_id, modelno),
            Y=[],
            Q=[(crosscat_row_id(rowid), cc_colno, code)],
        )

After Change

            return None
        code = crosscat_value_to_code(bdb, generator_id, M_c, colno, value)
        cc_colno = crosscat_cc_colno(bdb, generator_id, colno)
        X_L_list = self._crosscat_latent_state(bdb, generator_id, modelno)
        X_D_list = self._crosscat_latent_data(bdb, generator_id, modelno)
        row_id, X_L_list, X_D_list = \
            self._crosscat_get_row(bdb, generator_id, rowid, X_L_list,
                X_D_list)
        r = self._crosscat.simple_predictive_probability_multistate(
            M_c=M_c,
            X_L_list=X_L_list,
            X_D_list=X_D_list,

Instances