code: def get_token_list(text: str) -> List[str]:
      """Returns a list of tokens.
  
      This function expects that the tokens in the text are separated by space
      character(s). Example: "ca n't , touch". This is the case at least for the
      public DiscoFuse and WikiSplit datasets.
  
      Args:
          text: String to be split into tokens.
      """
      return text.split()
  
file_path: NeMo/nemo/collections/nlp/data/text_normalization_as_tagging/utils.py
imports: import re
  from itertools import groupby
  from typing import Dict, List, Tuple
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: get_token_list(text) and returns: text