class_docstr: A unittest class for testing Spatial attack.
class_docstr_tok: ["A","unittest","class","for","testing","Spatial","attack","."]
code: def test_1_classifier_type_check_fail(self):
      backend_test_classifier_type_check_fail(
          SpatialTransformation, [BaseEstimator, NeuralNetworkMixin]
      )
  
file_path: adversarial-robustness-toolbox/tests/attacks/test_spatial_transformation.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import keras.backend
  import numpy
  from art.attacks.evasion.spatial_transformation import SpatialTransformation
  from art.estimators.estimator import BaseEstimator, NeuralNetworkMixin
  from tests.utils import TestBase
  from tests.utils import get_image_classifier_tf, get_image_classifier_kr
  from tests.utils import get_image_classifier_pt, get_tabular_classifier_kr
  from tests.attacks.utils import backend_test_classifier_type_check_fail
label_desc: Use image node_id 7 for calling the TestSpatialTransformation obj's underlying member method code with example usage: obj.test_1_classifier_type_check_fail() without return types