def METHOD_NAME(packages_path, skip_not_installed,
                                      info_theory=info_camb):
    like = "des_y1.clustering"
    info_likelihood = {like: {}}
    best_fit_clustering = deepcopy(best_fit)
    best_fit_clustering.update(test_params_clustering)
    body_of_test(packages_path, best_fit_clustering, info_likelihood, info_theory,
                 {like: ref_chi2["clustering"], "tolerance": tolerance},
                 skip_not_installed=skip_not_installed)