code: def normalize_answer(s):
      """Lower text and remove punctuation, articles and extra whitespace.
      This is from the official evaluate-v2.0.py in SQuAD.
      """
  
      def remove_articles(text):
          regex = re.compile(r"\b(a|an|the)\b", re.UNICODE)
          return re.sub(regex, " ", text)
  
      def white_space_fix(text):
          return " ".join(text.split())
  
      def remove_punc(text):
          exclude = set(string.punctuation)
          return "".join(ch for ch in text if ch not in exclude)
  
      def lower(text):
          return text.lower()
  
      return white_space_fix(remove_articles(remove_punc(lower(s))))
  
imports: from typing import Optional, List, Tuple
  from collections import namedtuple
  import dataclasses
  from dataclasses import dataclass
  import re
  import numpy
  import warnings
  import os
  from tqdm.auto import tqdm
  import json
  import string
  from gluonnlp.data.tokenizers import BaseTokenizerWithVocab
  from gluonnlp.utils.preprocessing import match_tokens_with_char_spans
  from mxnet.gluon.utils import download
  import mxnet
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_answer(s) and returns: white_space_fix, re, str, str, text