code: def test_dp_instahide_multiple_aug(
      art_warning,
      get_mnist_classifier,
      get_default_mnist_subset,
      get_default_cifar10_subset,
      noise,
      framework,
  ):
      classifier = get_mnist_classifier()
  
      (x_train, y_train), (_, _) = get_default_mnist_subset
  
      mixup = Mixup(num_classes=10)
      cutout = Cutout(length=8, channels_first=False)
  
      try:
          trainer = DPInstaHideTrainer(
              classifier,
              augmentations=[mixup, cutout],
              noise=noise,
              loc=0,
              scale=0.1,
          )
          trainer.fit(x_train, y_train, nb_epochs=1)
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/defences/trainer/test_dp_instahide_trainer.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import pytest
  import logging
  from art.defences.preprocessor import Mixup, Cutout
  from art.defences.trainer import DPInstaHideTrainer
  from art.estimators.classification import PyTorchClassifier, TensorFlowV2Classifier, KerasClassifier
  from tests.utils import ARTTestException
  from tests.utils import get_image_classifier_hf
label_desc: Use image node_id 3 for calling a global function with example usage: test_dp_instahide_multiple_aug(art_warning, get_mnist_classifier, get_default_mnist_subset, get_default_cifar10_subset, noise, framework) without return types