code: def test_decoder_download_ignores_files(self):
      processor = Wav2Vec2ProcessorWithLM.from_pretrained(
          "hf-internal-testing/processor_with_lm"
      )
  
      language_model = processor.decoder.model_container[
          processor.decoder._model_key
      ]
      path_to_cached_dir = Path(
          language_model._kenlm_model.path.decode("utf-8")
      ).parent.parent.absolute()
  
      downloaded_decoder_files = os.listdir(path_to_cached_dir)
      expected_decoder_files = ["alphabet.json", "language_model"]
  
      downloaded_decoder_files.sort()
      expected_decoder_files.sort()
  
      # test that only decoder relevant files from
      # https://huggingface.co/hf-internal-testing/processor_with_lm/tree/main
      # are downloaded and none of the rest (e.g. README.md, ...)
      self.assertListEqual(
          downloaded_decoder_files, expected_decoder_files
      )
  
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 16 for calling the Wav2Vec2ProcessorWithLMTest obj's underlying member method code with example usage: obj.test_decoder_download_ignores_files() without return types