code: def check_tfa_version(tf_version: str) -> str:
      if LooseVersion(tf_version) < "2.2.0":
          return "0.9.1"
      elif LooseVersion(tf_version) < "2.3.0":
          return "0.11.2"
      else:
          return "0.13.0"
  
file_path: Kashgari/kashgari/__init__.py
imports: import os
  from distutils.version import LooseVersion
  from typing import Any, Dict
  from kashgari import corpus, embeddings, layers, macros, processors, tasks, utils
  from kashgari.__version__ import __version__
  from kashgari.macros import config
label_desc: Use image node_id 1 for calling a global function with example usage: check_tfa_version(tf_version) and returns: str, str, str