code: def test_make_list_of_images_numpy(self):
      # Test a single image is converted to a list of 1 image
      images = np.random.randint(0, 256, (16, 32, 3))
      images_list = make_list_of_images(images)
      self.assertEqual(len(images_list), 1)
      self.assertTrue(np.array_equal(images_list[0], images))
      self.assertIsInstance(images_list, list)
  
      # Test a batch of images is converted to a list of images
      images = np.random.randint(0, 256, (4, 16, 32, 3))
      images_list = make_list_of_images(images)
      self.assertEqual(len(images_list), 4)
      self.assertTrue(np.array_equal(images_list[0], images[0]))
      self.assertIsInstance(images_list, list)
  
      # Test a list of images is not modified
      images = [
          np.random.randint(0, 256, (16, 32, 3)) for _ in range(4)
      ]
      images_list = make_list_of_images(images)
      self.assertEqual(len(images_list), 4)
      self.assertTrue(np.array_equal(images_list[0], images[0]))
      self.assertIsInstance(images_list, list)
  
      # Test batched masks with no channel dimension are converted to a list of masks
      masks = np.random.randint(0, 2, (4, 16, 32))
      masks_list = make_list_of_images(masks, expected_ndims=2)
      self.assertEqual(len(masks_list), 4)
      self.assertTrue(np.array_equal(masks_list[0], masks[0]))
      self.assertIsInstance(masks_list, list)
  
imports: import os
  import tempfile
  import unittest
  import datasets
  import numpy
  import pytest
  from huggingface_hub.file_download import http_get
  from requests import ConnectTimeout, ReadTimeout
  from tests.pipelines.test_pipelines_document_question_answering import INVOICE_URL
  from transformers import is_torch_available, is_vision_available
  from transformers.image_utils import ChannelDimension, get_channel_dimension_axis, make_list_of_images
  from transformers.testing_utils import is_flaky, require_torch, require_vision
label_desc: Use image node_id 3 for calling the ImageFeatureExtractionTester obj's underlying member method code with example usage: obj.test_make_list_of_images_numpy() without return types