code: def test_cannot_decode_16_bit_images_with_pil(self, dtypes, channels):
      dtype, np_dtype = dtypes
      # PIL is used when OpenCV fails.
      with make_cv2_fail():
          self.assertFeature(
              feature=features_lib.Image(
                  shape=(128, 128, channels), dtype=dtype
              ),
              shape=(128, 128, channels),
              dtype=dtype,
              tests=[
                  testing.FeatureExpectationItem(
                      value=randint(
                          256, size=(128, 128, channels), dtype=np_dtype
                      ),
                      raise_cls_np=ValueError,
                      raise_msg="PIL does not handle",
                  )
              ],
          )
  
imports: import contextlib
  import enum
  import os
  import pathlib
  from typing import Optional, Type
  from absl.testing import parameterized
  import numpy
  import PIL
  import pytest
  import tensorflow
  import tensorflow_datasets
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import features
label_desc: Use image node_id 5 for calling the ImageFeatureTest obj's underlying member method code with example usage: obj.test_cannot_decode_16_bit_images_with_pil(dtypes, channels) without return types