code: def create_whitespace_tokenizer(
      config: Optional[Dict[Text, Any]] = None
  ) -> WhitespaceTokenizer:
      return WhitespaceTokenizer(
          {
              **WhitespaceTokenizer.get_default_config(),
              **(config if config else {}),
          }
      )
  
imports: from typing import Any, Dict, Optional, Tuple, Text, List
  import pytest
  from rasa.nlu.tokenizers.tokenizer import Token
  from rasa.nlu.constants import TOKENS_NAMES
  from rasa.shared.nlu.constants import TEXT, INTENT, RESPONSE, INTENT_RESPONSE_KEY, 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 1 for calling a global function with example usage: create_whitespace_tokenizer(config) and returns: WhitespaceTokenizer