How to use the petab.core function in petab

par_opt_ids = self.petab_problem.get_optimization_parameters()
        # take sim parameter vector from model to ensure correct order
        par_sim_ids = list(model.getParameterIds())

        parameter_mapping = \
            petab.core.get_optimization_to_simulation_parameter_mapping(
                condition_df=self.petab_problem.condition_df,
                measurement_df=self.petab_problem.measurement_df,
                parameter_df=self.petab_problem.parameter_df,
                sbml_model=self.petab_problem.sbml_model,
                par_opt_ids=par_opt_ids,
                par_sim_ids=par_sim_ids
            )

        scale_mapping = \
            petab.core.get_optimization_to_simulation_scale_mapping(
                parameter_df=self.petab_problem.parameter_df,
                mapping_par_opt_to_par_sim=parameter_mapping
            )

        # create objective
        obj = PetabAmiciObjective(
            petab_importer=self,
            amici_model=model, amici_solver=solver, edatas=edatas,
            x_ids=par_opt_ids, x_names=par_opt_ids,
            mapping_par_opt_to_par_sim=parameter_mapping,
            mapping_scale_opt_to_scale_sim=scale_mapping
        )

        return obj