code: def test_get_classifier(art_warning, image_dl_estimator):
      classifier, _ = image_dl_estimator()
  
      adv_trainer = AdversarialTrainerMadryPGD(
          classifier, nb_epochs=1, batch_size=128
      )
      _ = adv_trainer.get_classifier()
  
file_path: adversarial-robustness-toolbox/tests/defences/trainer/test_adversarial_trainer_madry_pgd.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  import pytest
  from art.defences.trainer.adversarial_trainer_madry_pgd import AdversarialTrainerMadryPGD
label_desc: Use image node_id 3 for calling a global function with example usage: test_get_classifier(art_warning, image_dl_estimator) without return types