code: def register_evaluate(*name):
      def register_evaluate_cls(cls):
          for n in name:
              if n in EVALUATE_DICT:
                  raise ValueError(
                      "Cannot register duplicate evaluator ({})".format(
                          n
                      )
                  )
              if not issubclass(cls, Evaluation):
                  raise ValueError(
                      "Evaluator ({}: {}) must extend Evaluation".format(
                          n, cls.__name__
                      )
                  )
              EVALUATE_DICT[n] = cls
          return cls
  
      return register_evaluate_cls
  
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 a global function with example usage: register_evaluate() and returns: register_evaluate_cls, cls