code: def test_whitespace_language_support(language, is_not_supported):
      assert (
          language in WhitespaceTokenizer.not_supported_languages()
      ) == is_not_supported
  
file_path: rasa/tests/nlu/tokenizers/test_whitespace_tokenizer.py
imports: import pytest
  from typing import Dict, Optional
  import rasa.shared.utils.io
  from rasa.nlu.constants import TOKENS_NAMES
  from rasa.shared.nlu.constants import TEXT, INTENT, ACTION_TEXT, ACTION_NAME
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
label_desc: Use image node_id 6 for calling a global function with example usage: test_whitespace_language_support(language, is_not_supported) without return types