code: def __normalize_option(self, doc, option):
      # Append `'s` to possessive determiner based options.
      if doc["pronoun"].lower() in ["my", "his", "her", "our", "their"]:
          option += "'s"
      # Appropriately lowercase the pronoun in the option.
      pronoun = option.split()[0]
      start_of_sentence = doc["text"][doc["pronoun_loc"] - 2] == "."
      if not start_of_sentence and pronoun in self.upper_pronouns:
          return option.replace(pronoun, pronoun.lower())
      return option
  
imports: import numpy
  from lm_eval.base import rf, Task
  from lm_eval.metrics import mean
label_desc: Use image node_id 6 for calling the WinogradSchemaChallenge273 obj's underlying member method code with example usage: obj.__normalize_option(doc, option) and returns: option, option