code: def test_tokenize_special_tokens(self):
      tokenizers = self.get_tokenizers(do_lower_case=True)
      for tokenizer in tokenizers:
          with self.subTest(f"{tokenizer.__class__.__name__}"):
              SPECIAL_TOKEN_1 = chr(0xE005)
              SPECIAL_TOKEN_2 = chr(0xE006)
              tokenizer.add_tokens(
                  [SPECIAL_TOKEN_1], special_tokens=True
              )
              tokenizer.add_special_tokens(
                  {"additional_special_tokens": [SPECIAL_TOKEN_2]}
              )
  
              token_1 = tokenizer.tokenize(SPECIAL_TOKEN_1)
              token_2 = tokenizer.tokenize(SPECIAL_TOKEN_2)
  
              self.assertEqual(len(token_1), 1)
              self.assertEqual(len(token_2), 1)
              self.assertEqual(token_1[0], SPECIAL_TOKEN_1)
              self.assertEqual(token_2[0], SPECIAL_TOKEN_2)
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from transformers import BatchEncoding, CanineTokenizer
  from transformers.testing_utils import require_tokenizers, require_torch
  from transformers.tokenization_utils import AddedToken
  from transformers.utils import cached_property
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 9 for calling the CanineTokenizationTest obj's underlying member method code with example usage: obj.test_tokenize_special_tokens() without return types