code: def test_load_img_exif_transpose(self):
      # we use revision="refs/pr/1" until the PR is merged
      # https://hf.co/datasets/hf-internal-testing/fixtures_image_utils/discussions/1
      dataset = datasets.load_dataset(
          "hf-internal-testing/fixtures_image_utils",
          split="test",
          revision="refs/pr/1",
      )
  
      img_without_exif_transpose = dataset[3]["image"]
      img_arr_without_exif_transpose = np.array(
          img_without_exif_transpose
      )
  
      self.assertEqual(
          img_arr_without_exif_transpose.shape,
          (333, 500, 3),
      )
  
      img_with_exif_transpose = load_image(dataset[3]["image"])
      img_arr_with_exif_transpose = np.array(img_with_exif_transpose)
  
      self.assertEqual(
          img_arr_with_exif_transpose.shape,
          (500, 333, 3),
      )
  
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 9 for calling the LoadImageTester obj's underlying member method code with example usage: obj.test_load_img_exif_transpose() without return types