code: def __init__(self):
      self.evaluators = [Evaluator(m) for m in (muc, b_cubed, ceafe)]
  
      self.c_tuple = [0, 0, 0]
      self.n_tuple = [0, 0, 0]
  
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 1 to create a new CorefEvaluator object from inherited base classes: object with example: obj = CorefEvaluator()