code: def process_results(self, doc, results):
      gold = self.CHOICES.index(doc["answers"])
      r4_1 = np.argmax(results) == gold  # r4_1 = accuracy
      ranks = sorted(results, reverse=True)
      r4_2 = (ranks.index(results[gold]) == 1) + r4_1
      mrr = 1.0 / (
          ranks.index(results[gold]) + 1
      )  # `+ 1` for index offset
      return {"r@1": r4_1, "r@2": r4_2, "mrr": mrr}
  
imports: import numpy
  import inspect
  import lm_eval.datasets.mutual.mutual
  from lm_eval.base import Task, rf
  from lm_eval.metrics import mean
label_desc: Use image node_id 13 for calling the MuTualBase obj's underlying member method code with example usage: obj.process_results(doc, results) and returns: dict