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: Returns default config (see parent class for full docstring).
docstr_tok: ["Returns","default","config","(","see","parent","class","for","full","docstring",")","."]
code: def get_default_config() -> Dict[Text, Any]:
      """Returns default config (see parent class for full docstring)."""
      return {
          # default don't load custom dictionary
          "dictionary_path": None,
          # Flag to check whether to split intents
          "intent_tokenization_flag": False,
          # Symbol on which intent should be split
          "intent_split_symbol": "_",
          # Regular expression to detect tokens
          "token_pattern": None,
          # Symbol on which prefix should be split
          "prefix_separator_symbol": None,
      }
  
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 2 for calling the JiebaTokenizer obj's underlying member method code with example usage: obj.get_default_config() and returns: dict