code: def whitespace_tokenize(text: str) -> List[str]:
      r"""Runs basic whitespace cleaning and splitting on a piece of text."""
      text = text.strip()
      if not text:
          return []
      tokens: List[str] = text.split()
      return tokens
  
file_path: texar/texar/tf/data/tokenizers/bert_tokenizer_utils.py
imports: from typing import Dict, List, Optional
  import collections
  import unicodedata
label_desc: Use image node_id 2 for calling a global function with example usage: whitespace_tokenize(text) and returns: tokens, list