class_docstr: Normalize and tokenize texts by converting all characters to the lower case and
  splitting on whitespaces and punctuations.
code: def __init__(self):
      super().__init__()
      self.r = re.compile(r"[\s{}]+".format(re.escape(punctuation)))
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/contamination/light_tokenizer.py
imports: import re
  from typing import List
  from string import punctuation
label_desc: Use image node_id 1 to create a new DefaultTokenizer object from inherited base classes: LightTokenizer with example: obj = DefaultTokenizer()