code: def test_check_params(art_warning, image_dl_estimator_for_attack):
      try:
          classifier = image_dl_estimator_for_attack(
              MomentumIterativeMethod
          )
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(classifier, norm=0)
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(classifier, eps=-1)
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(
                  classifier, eps=1, eps_step=-1
              )
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(classifier, decay=-1)
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(classifier, max_iter=-1)
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(classifier, targeted="true")
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(classifier, batch_size=0)
  
          with pytest.raises(ValueError):
              _ = MomentumIterativeMethod(classifier, verbose="true")
  
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/attacks/evasion/test_momentum_iterative_method.py
imports: import logging
  import numpy
  import pytest
  from art.attacks.evasion import MomentumIterativeMethod
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin
  from tests.attacks.utils import backend_test_classifier_type_check_fail
  from tests.utils import ARTTestException
label_desc: Use image node_id 4 for calling a global function with example usage: test_check_params(art_warning, image_dl_estimator_for_attack) without return types