code: def test_save_load_pretrained_additional_features(self):
      processor = BarkProcessor.from_pretrained(
          pretrained_processor_name_or_path=self.checkpoint,
          speaker_embeddings_dict_path=self.speaker_embeddings_dict_path,
      )
      processor.save_pretrained(
          self.tmpdirname,
          speaker_embeddings_dict_path=self.speaker_embeddings_dict_path,
          speaker_embeddings_directory=self.speaker_embeddings_directory,
      )
  
      tokenizer_add_kwargs = self.get_tokenizer(
          bos_token="(BOS)", eos_token="(EOS)"
      )
  
      processor = BarkProcessor.from_pretrained(
          self.tmpdirname,
          self.speaker_embeddings_dict_path,
          bos_token="(BOS)",
          eos_token="(EOS)",
      )
  
      self.assertEqual(
          processor.tokenizer.get_vocab(),
          tokenizer_add_kwargs.get_vocab(),
      )
  
file_path: transformers/tests/models/bark/test_processor_bark.py
imports: import os
  import shutil
  import tempfile
  import unittest
  import numpy
  from transformers import AutoTokenizer, BarkProcessor
  from transformers.testing_utils import require_torch, slow
label_desc: Use image node_id 5 for calling the BarkProcessorTest obj's underlying member method code with example usage: obj.test_save_load_pretrained_additional_features() without return types