code: def test_standardisation_mean_std(art_warning, image_batch):
      try:
          x, x_expected, mean, std = image_batch
          standard = StandardisationMeanStd(mean=mean, std=std)
  
          x_preprocessed, _ = standard(x=x, y=None)
          np.testing.assert_array_equal(x_preprocessed, x_expected)
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/preprocessing/test_standardisation_mean_std.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  import pytest
  from art.preprocessing.standardisation_mean_std import StandardisationMeanStd, StandardisationMeanStdPyTorch, StandardisationMeanStdTensorFlow
  from art.preprocessing.standardisation_mean_std.utils import broadcastable_mean_std
  from tests.utils import ARTTestException
label_desc: Use image node_id 3 for calling a global function with example usage: test_standardisation_mean_std(art_warning, image_batch) without return types