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",")","."]
code: def _copy_files_dir_to_dir(input_dir: Text, output_dir: Text) -> None:
      # make sure target path exists
      if not os.path.exists(output_dir):
          os.makedirs(output_dir)
  
      target_file_list = glob.glob(f"{input_dir}/*")
      for target_file in target_file_list:
          shutil.copy2(target_file, output_dir)
  
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 10 for calling the JiebaTokenizer obj's underlying member method code with example usage: obj._copy_files_dir_to_dir(input_dir, output_dir) without return types