code: def create_jieba(config: Optional[Dict] = None) -> JiebaTokenizer:
      config = config if config else {}
      return JiebaTokenizer.create(
          {**JiebaTokenizer.get_default_config(), **config},
          None,
          None,
          None,
      )
  
file_path: rasa/tests/nlu/tokenizers/test_jieba_tokenizer.py
imports: import logging
  from typing import Dict, Optional
  from _pytest.logging import LogCaptureFixture
  from _pytest.tmpdir import TempPathFactory
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.tokenizers.jieba_tokenizer import JiebaTokenizer
  import pytest
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.constants import TOKENS_NAMES
  from rasa.shared.nlu.constants import TEXT, INTENT
label_desc: Use image node_id 1 for calling a global function with example usage: create_jieba(config) and returns: JiebaTokenizer