code: def test_feature_extractor(self):
      feature_extractor = self.get_feature_extractor()
      tokenizer = self.get_tokenizer()
  
      processor = MCTCTProcessor(
          tokenizer=tokenizer, feature_extractor=feature_extractor
      )
  
      raw_speech = floats_list((3, 1000))
  
      input_feat_extract = feature_extractor(
          raw_speech, return_tensors="np"
      )
      input_processor = processor(raw_speech, return_tensors="np")
  
      for key in input_feat_extract.keys():
          self.assertAlmostEqual(
              input_feat_extract[key].sum(),
              input_processor[key].sum(),
              delta=1e-2,
          )
  
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 7 for calling the MCTCTProcessorTest obj's underlying member method code with example usage: obj.test_feature_extractor() without return types