code: def test_special_tokens_initialization(self):
      # Whisper relies on specific additional special tokens, so we skip this
      # general test. In particular, this test loads fast tokenizer from slow
      # tokenizer, and the conversion uses prefix_tokens, where we reference
      # additional special tokens by specific indices, hence overriding the
      # list with less tokens leads to out of index error
      pass
  
imports: import unittest
  from transformers.models.whisper import WhisperTokenizer, WhisperTokenizerFast
  from transformers.models.whisper.tokenization_whisper import _combine_tokens_into_words, _find_longest_common_sequence
  from transformers.testing_utils import require_jinja, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 8 for calling the WhisperTokenizerTest obj's underlying member method code with example usage: obj.test_special_tokens_initialization() without return types