code: def test_added_token_serializable(self):
      tokenizers = self.get_tokenizers(do_lower_case=False)
      for tokenizer in tokenizers:
          with self.subTest(f"{tokenizer.__class__.__name__}"):
              # a special token for Canine can be defined as follows:
              NEW_TOKEN = 0xE006
              new_token = chr(NEW_TOKEN)
  
              new_token = AddedToken(new_token, lstrip=True)
              tokenizer.add_special_tokens(
                  {"additional_special_tokens": [new_token]}
              )
  
              with tempfile.TemporaryDirectory() as tmp_dir_name:
                  tokenizer.save_pretrained(tmp_dir_name)
                  tokenizer.from_pretrained(tmp_dir_name)
  
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 10 for calling the CanineTokenizationTest obj's underlying member method code with example usage: obj.test_added_token_serializable() without return types