code: def get_p(self, average="micro"):
      return (
          self.ent_tp / (self.ent_fp + self.ent_tp),
          self.rel_tp / (self.rel_fp + self.rel_tp),
          self.rel_p_tp / (self.rel_p_fp + self.rel_p_tp),
      )
  
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 EREEvaluator obj's underlying member method code with example usage: obj.get_p(average) and returns: unknown,  unknown,  unknown