code: def test_2_tensorflow_iris(self):
      classifier, _ = get_tabular_classifier_tf()
  
      attack = VirtualAdversarialMethod(
          classifier, eps=0.1, verbose=False
      )
  
      with self.assertRaises(TypeError) as context:
          _ = attack.generate(self.x_test_iris)
  
      self.assertIn(
          "This attack requires a classifier predicting probabilities in the range [0, 1] as output."
          "Values smaller than 0.0 or larger than 1.0 have been detected.",
          str(context.exception),
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  from art.attacks.evasion.virtual_adversarial import VirtualAdversarialMethod
  from art.estimators.classification.keras import KerasClassifier
  from art.estimators.estimator import BaseEstimator
  from art.estimators.classification.classifier import ClassifierMixin
  from art.utils import get_labels_np_array
  from tests.utils import TestBase
  from tests.utils import get_image_classifier_tf, get_image_classifier_kr, get_image_classifier_pt
  from tests.utils import get_tabular_classifier_tf, get_tabular_classifier_kr, get_tabular_classifier_pt
  from tests.attacks.utils import backend_test_classifier_type_check_fail
label_desc: Use image node_id 8 for calling the TestVirtualAdversarial obj's underlying member method code with example usage: obj.test_2_tensorflow_iris() without return types