code: def test_rule_based_image(
      art_warning,
      get_default_mnist_subset,
      image_dl_estimator_for_attack,
  ):
      try:
          classifier = image_dl_estimator_for_attack(LabelOnlyGapAttack)
          attack = LabelOnlyGapAttack(classifier)
          backend_check_membership_accuracy_no_fit(
              attack, get_default_mnist_subset, 0.8
          )
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/attacks/inference/membership_inference/test_label_only_gap_attack.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import pytest
  from art.attacks.inference.membership_inference.label_only_gap_attack import LabelOnlyGapAttack
  from art.estimators.estimator import BaseEstimator
  from art.estimators.classification.classifier import ClassifierMixin
  from tests.attacks.utils import backend_test_classifier_type_check_fail
  from tests.utils import ARTTestException
label_desc: Use image node_id 1 for calling a global function with example usage: test_rule_based_image(art_warning, get_default_mnist_subset, image_dl_estimator_for_attack) without return types