code: def register_evaluation(
      cls, *names
  ) -> _typing.Callable[
      [_typing.Type[Evaluation]], _typing.Type[Evaluation]
  ]:
      def _register_evaluation(
          _class: _typing.Type[Evaluation],
      ) -> _typing.Type[Evaluation]:
          for n in names:
              if n in EVALUATE_DICT:
                  raise ValueError(
                      "Cannot register duplicate evaluator ({})".format(
                          n
                      )
                  )
              if not issubclass(_class, Evaluation):
                  raise ValueError(
                      "Evaluator ({}: {}) must extend Evaluation".format(
                          n, cls.__name__
                      )
                  )
              EVALUATE_DICT[n] = _class
          return _class
  
      return _register_evaluation
  
imports: import numpy
  import typing
  from sklearn.metrics import f1_score, log_loss, accuracy_score, roc_auc_score, label_ranking_average_precision_score
label_desc: Use image node_id 1 for calling the EvaluationUniversalRegistry obj's underlying member method code with example usage: obj.register_evaluation(cls) and returns: _register_evaluation, _class