code: def get_all(self):
      all_res = {}
      name_dict = {0: "muc", 1: "b_cubed", 2: "ceafe"}
      for i, e in enumerate(self.evaluators):
          all_res[name_dict[i] + "_f1"] = e.get_f1()
          all_res[name_dict[i] + "_p"] = e.get_precision()
          all_res[name_dict[i] + "_r"] = e.get_recall()
  
      return all_res
  
imports: import logging
  import numpy
  from collections import Counter, defaultdict
  from scipy.optimize import linear_sum_assignment
  from .blanc import blanc, tuple_to_metric
label_desc: Use image node_id 3 for calling the CorefEvaluator obj's underlying member method code with example usage: obj.get_all() and returns: all_res