code: def get_feature_extractor(self, **kwargs):
      return MCTCTFeatureExtractor.from_pretrained(
          self.tmpdirname, **kwargs
      )
  
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 3 for calling the MCTCTProcessorTest obj's underlying member method code with example usage: obj.get_feature_extractor() and returns: MCTCTFeatureExtractor