code: def test_repr(self):
      classifier = ClassifierInstance()
  
      repr_ = repr(classifier)
      self.assertIn("ClassifierInstance", repr_)
      self.assertIn("clip_values=None", repr_)
      self.assertIn("defences=None", repr_)
      self.assertIn(
          "preprocessing=StandardisationMeanStd(mean=0.0, std=1.0, apply_fit=True, apply_predict=True)",
          repr_,
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  from art.estimators.classification.classifier import ClassGradientsMixin, ClassifierMixin
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin, NeuralNetworkMixin
  from tests.utils import TestBase, master_seed
label_desc: Use image node_id 4 for calling the TestClassifier obj's underlying member method code with example usage: obj.test_repr() without return types