code: def test_add_special_tokens(self):
      tokenizers = self.get_tokenizers(do_lower_case=False)
      for tokenizer in tokenizers:
          with self.subTest(f"{tokenizer.__class__.__name__}"):
              input_text, ids = self.get_clean_sequence(tokenizer)
  
              # a special token for Canine can be defined as follows:
              SPECIAL_TOKEN = 0xE005
              special_token = chr(SPECIAL_TOKEN)
  
              tokenizer.add_special_tokens({"cls_token": special_token})
              encoded_special_token = tokenizer.encode(
                  special_token, add_special_tokens=False
              )
              self.assertEqual(len(encoded_special_token), 1)
  
              text = tokenizer.decode(
                  ids + encoded_special_token,
                  clean_up_tokenization_spaces=False,
              )
              encoded = tokenizer.encode(text, add_special_tokens=False)
  
              input_encoded = tokenizer.encode(
                  input_text, add_special_tokens=False
              )
              special_token_id = tokenizer.encode(
                  special_token, add_special_tokens=False
              )
              self.assertEqual(
                  encoded, input_encoded + special_token_id
              )
  
              decoded = tokenizer.decode(
                  encoded, skip_special_tokens=True
              )
              self.assertTrue(special_token not in decoded)
  
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 8 for calling the CanineTokenizationTest obj's underlying member method code with example usage: obj.test_add_special_tokens() without return types