code: def test_damaged_corrupt_images(img_path):
      # Truncated images should raise an exception
      data = read_file(img_path)
      if "corrupt34" in img_path:
          match_message = "Image is incomplete or truncated"
      else:
          match_message = "Unsupported marker type"
      with pytest.raises(RuntimeError, match=match_message):
          decode_jpeg(data)
  
imports: import glob
  import io
  import os
  import sys
  from pathlib import Path
  import numpy
  import pytest
  import torch
  import torchvision.transforms.functional
  from common_utils import assert_equal, needs_cuda
  from PIL import __version__, Image
  from torchvision.io.image import _read_png_16, decode_image, decode_jpeg, decode_png, encode_jpeg, encode_png, ImageReadMode, read_file, read_image, write_file, write_jpeg, write_png
label_desc: Use image node_id 8 for calling a global function with example usage: test_damaged_corrupt_images(img_path) without return types