code: def test_check_params(art_warning, image_dl_estimator_for_attack):
      try:
          classifier = image_dl_estimator_for_attack(
              FeatureAdversariesTensorFlowV2
          )
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1, step_size=0.5
              )
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=-1.0, step_size=0.5
              )
  
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=0.5, lambda_=1
              )
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=0.5, lambda_=-1.0
              )
  
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=0.5, layer=1.0
              )
  
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=0.5, max_iter=1.0
              )
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=0.5, max_iter=-1
              )
  
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=0.5, batch_size=-1
              )
  
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=None, optimizer=None
              )
  
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size="test"
              )
          with pytest.raises(ValueError):
              _ = FeatureAdversariesTensorFlowV2(
                  classifier, delta=1.0, step_size=-1
              )
  
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/attacks/evasion/feature_adversaries/test_feature_adversaries_tensorflow.py
imports: import logging
  import numpy
  import pytest
  from art.attacks.evasion import FeatureAdversariesTensorFlowV2
  from art.estimators.estimator import BaseEstimator, NeuralNetworkMixin
  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