code: def filter(self, run_counts, criteria):
      
      correctness = criteria['correctness']
      assert correctness.dtype == np.bool
      filtered_counts = deep_copy(run_counts)
      for key in filtered_counts:
        filtered_counts[key] = filtered_counts[key][correctness]
      return filtered_counts
docs: Return run counts only for examples that are still correctly classified