code: def get_num_vocabulary_size(self) -> int:
      if self.model_type == "whisper_en":
          return (
              self.tokenizer.tokenizer.vocab_size
              + len(self.tokenizer.tokenizer.get_added_vocab())
              - 1
          )
      return self.tokenizer.tokenizer.vocab_size + len(
          self.tokenizer.tokenizer.get_added_vocab()
      )
  
file_path: espnet/espnet2/text/whisper_token_id_converter.py
imports: import copy
  import os
  from typing import Iterable, List, Union
  import numpy
  from typeguard import check_argument_types
  from espnet2.text.whisper_tokenizer import LANGUAGES_CODE_MAPPING
label_desc: Use image node_id 2 for calling the OpenAIWhisperTokenIDConverter obj's underlying member method code with example usage: obj.get_num_vocabulary_size() and returns: unknown, unknown