code: def test_load_img_base64_prefix(self):
      try:
          tmp_file = tempfile.mktemp()
          with open(tmp_file, "wb") as f:
              http_get(
                  "https://huggingface.co/datasets/hf-internal-testing/dummy-base64-images/raw/main/image_0.txt",
                  f,
              )
  
          with open(tmp_file, encoding="utf-8") as b64:
              img = load_image(b64.read())
              img_arr = np.array(img)
  
      finally:
          os.remove(tmp_file)
  
      self.assertEqual(img_arr.shape, (64, 32, 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 4 for calling the LoadImageTester obj's underlying member method code with example usage: obj.test_load_img_base64_prefix() without return types