code: def test_tabular(
      art_warning,
      tabular_dl_estimator,
      framework,
      get_iris_dataset,
      clipped_classifier,
      targeted,
  ):
      try:
          classifier = tabular_dl_estimator(clipped=clipped_classifier)
          attack = BoundaryAttack(
              classifier, targeted=targeted, max_iter=10, verbose=False
          )
          if targeted:
              backend_targeted_tabular(attack, get_iris_dataset)
          else:
              backend_untargeted_tabular(
                  attack, get_iris_dataset, clipped=clipped_classifier
              )
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/attacks/evasion/test_boundary.py
imports: import pytest
  import logging
  from art.attacks.evasion import BoundaryAttack
  from art.estimators.estimator import BaseEstimator
  from art.estimators.classification.classifier import ClassifierMixin
  from tests.attacks.utils import backend_targeted_tabular, backend_untargeted_tabular, backend_targeted_images
  from tests.attacks.utils import back_end_untargeted_images, backend_test_classifier_type_check_fail
  from tests.utils import ARTTestException
label_desc: Use image node_id 2 for calling a global function with example usage: test_tabular(art_warning, tabular_dl_estimator, framework, get_iris_dataset, clipped_classifier, targeted) without return types