code: def parse_answer(cls, answer):
      # NOTE: Everything is returned as a tuple for uniformity and hashability.
      if answer["number"] != "":
          return (str(answer["number"]),)
      if answer["spans"] != []:
          return tuple(answer["spans"])
      return (
          " ".join(
              [
                  answer["date"]["day"],
                  answer["date"]["month"],
                  answer["date"]["year"],
              ]
          ).strip(),
      )
  
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 8 for calling the DROP obj's underlying member method code with example usage: obj.parse_answer(cls, answer) and returns: str, str, tuple