code: def test_tensorflow_1_state(
      art_warning,
      image_dl_estimator,
  ):
      try:
          classifier, _ = image_dl_estimator(from_logits=True)
          state = classifier.__getstate__()
          assert isinstance(state, dict)
          classifier.__setstate__(state=state)
  
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/estimators/classification/test_deeplearning_specific.py
imports: import os
  import logging
  import numpy
  import pytest
  import pickle
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from art.estimators.classification.pytorch import PyTorchClassifier
  from tests.utils import ARTTestException
label_desc: Use image node_id 4 for calling a global function with example usage: test_tensorflow_1_state(art_warning, image_dl_estimator) without return types