class_docstr: This tokenizer is a wrapper for Jieba (https://github.com/fxsjy/jieba).
class_docstr_tok: ["This","tokenizer","is","a","wrapper","for","Jieba","(","https",":","\/\/github.com\/fxsjy\/jieba",")","."]
docstr: Persist the custom dictionaries.
docstr_tok: ["Persist","the","custom","dictionaries","."]
code: def persist(self) -> None:
      """Persist the custom dictionaries."""
      dictionary_path = self._config["dictionary_path"]
      if dictionary_path is not None:
          with self._model_storage.write_to(
              self._resource
          ) as resource_directory:
              self._copy_files_dir_to_dir(
                  dictionary_path, str(resource_directory)
              )
  
imports: from __future__ import annotations
  import glob
  import logging
  import os
  import shutil
  from typing import Any, Dict, List, Optional, Text
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.tokenizers.tokenizer import Token, Tokenizer
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
label_desc: Use image node_id 11 for calling the JiebaTokenizer obj's underlying member method code with example usage: obj.persist() without return types