code: def _normalize(self, answer):
      tokens = [
          self._white_space_fix(
              self._remove_articles(
                  self._fix_number(self._remove_punc(token.lower()))
              )
          )
          for token in self._tokenize(answer)
      ]
      tokens = [token for token in tokens if token.strip()]
      normalized = " ".join(tokens).strip()
      return normalized
  
imports: import inspect
  import numpy
  import re
  import string
  import lm_eval.datasets.drop.drop
  from scipy.optimize import linear_sum_assignment
  from lm_eval.base import Task, rf
  from lm_eval.metrics import mean
label_desc: Use image node_id 26 for calling the DROP obj's underlying member method code with example usage: obj._normalize(answer) and returns: normalized