code: def prepare_images():
      dataset = load_dataset(
          "hf-internal-testing/fixtures_image_utils", split="test"
      )
  
      image1 = Image.open(dataset[4]["file"])
      image2 = Image.open(dataset[5]["file"])
  
      images = [image1, image2]
  
      return images
  
imports: import json
  import os
  import tempfile
  import unittest
  import numpy
  from datasets import load_dataset
  from transformers.testing_utils import require_torch, require_vision, slow
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_feature_extraction_common import FeatureExtractionSavingTestMixin
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_images() and returns: images