class_docstr: A unittest class for testing the Simple Black-box Adversarial Attacks (SimBA).
  
  This module tests SimBA.
  
  | Paper link: https://arxiv.org/abs/1905.07121
docstr: Test with the KerasClassifier. (Targeted Attack)
  :return:
docstr_tok: ["Test","with","the","KerasClassifier",".","(","Targeted","Attack",")",":","return",":"]
code: def test_6_keras_mnist_targeted(self):
      """
      Test with the KerasClassifier. (Targeted Attack)
      :return:
      """
      classifier = get_image_classifier_kr()
      self._test_attack(
          classifier, self.x_test_mnist, self.y_test_mnist, True
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  from art.attacks.evasion.simba import SimBA
  from art.estimators.estimator import BaseEstimator, NeuralNetworkMixin
  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.attacks.utils import backend_test_classifier_type_check_fail
label_desc: Use image node_id 5 for calling the TestSimBA obj's underlying member method code with example usage: obj.test_6_keras_mnist_targeted() without return types