code: def test_conversion_image_to_image(self):
      feature_extractor = ImageFeatureExtractionMixin()
      image = get_random_image(16, 32)
  
      # On an image, `to_pil_image1` is a noop.
      image1 = feature_extractor.to_pil_image(image)
      self.assertTrue(isinstance(image, PIL.Image.Image))
      self.assertTrue(np.array_equal(np.array(image), np.array(image1)))
  
imports: import unittest
  import datasets
  import numpy
  import pytest
  from transformers import is_torch_available, is_vision_available
  from transformers.image_utils import ChannelDimension, get_channel_dimension_axis
  from transformers.testing_utils import require_torch, require_vision
label_desc: Use image node_id 4 for calling the ImageFeatureExtractionTester obj's underlying member method code with example usage: obj.test_conversion_image_to_image() without return types