code: def tabular_dl_estimator_for_attack(framework, tabular_dl_estimator):
      def _tabular_dl_estimator_for_attack(attack, clipped=True):
          classifier = tabular_dl_estimator(clipped)
          classifier_list = [classifier]
  
          classifier_tested = [
              potential_classifier
              for potential_classifier in classifier_list
              if attack.is_estimator_valid(
                  estimator=potential_classifier,
                  estimator_requirements=attack._estimator_requirements,
              )
          ]
  
          if len(classifier_tested) == 0:
              raise ValueError(
                  "No classifier found in tabular_dl_estimator_for_attack."
              )
          return classifier_tested[0]
  
      return _tabular_dl_estimator_for_attack
  
label_desc: Use image node_id 1 for calling a global function with example usage: tabular_dl_estimator_for_attack(framework, tabular_dl_estimator) and returns: _tabular_dl_estimator_for_attack, classifier_tested