code: def test_load_decoder_tokenizer_mismatch_content(self):
      tokenizer = self.get_tokenizer()
      # add token to trigger raise
      tokenizer.add_tokens(["xx"])
      with self.assertRaisesRegex(ValueError, "include"):
          Wav2Vec2ProcessorWithLM(
              tokenizer=tokenizer,
              feature_extractor=self.get_feature_extractor(),
              decoder=self.get_decoder(),
          )
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from multiprocessing import get_context
  from pathlib import Path
  import datasets
  import numpy
  from datasets import load_dataset
  from parameterized import parameterized
  from transformers import AutoProcessor
  from transformers.models.wav2vec2 import Wav2Vec2CTCTokenizer, Wav2Vec2FeatureExtractor
  from transformers.models.wav2vec2.tokenization_wav2vec2 import VOCAB_FILES_NAMES
  from transformers.testing_utils import require_pyctcdecode, require_torch, require_torchaudio, slow
  from transformers.utils import FEATURE_EXTRACTOR_NAME, is_pyctcdecode_available, is_torch_available
  from ..wav2vec2.test_feature_extraction_wav2vec2 import floats_list
label_desc: Use image node_id 8 for calling the Wav2Vec2ProcessorWithLMTest obj's underlying member method code with example usage: obj.test_load_decoder_tokenizer_mismatch_content() without return types