code: def whitespace_tokenize(text):
      """Runs basic whitespace cleaning and splitting on a piece of text."""
      text = text.strip()
      if not text:
          return []
      tokens = text.split()
      return tokens
  
imports: import collections
  import os
  import unicodedata
  from typing import List, Optional, Tuple
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
  from ...utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: whitespace_tokenize(text) and returns: tokens, list