code: def test_tokenizer_decode(self):
      feature_extractor = self.get_feature_extractor()
      tokenizer = self.get_tokenizer()
  
      processor = MCTCTProcessor(
          tokenizer=tokenizer, feature_extractor=feature_extractor
      )
  
      predicted_ids = [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]
  
      decoded_processor = processor.batch_decode(predicted_ids)
      decoded_tok = tokenizer.batch_decode(predicted_ids)
  
      self.assertListEqual(decoded_tok, decoded_processor)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/mctct/test_processor_mctct.py
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from transformers import MCTCTProcessor, is_speech_available, is_torch_available
  from transformers.file_utils import FEATURE_EXTRACTOR_NAME
  from transformers.models.wav2vec2.tokenization_wav2vec2 import VOCAB_FILES_NAMES, Wav2Vec2CTCTokenizer
  from transformers.testing_utils import require_torch, require_torchaudio
label_desc: Use image node_id 9 for calling the MCTCTProcessorTest obj's underlying member method code with example usage: obj.test_tokenizer_decode() without return types