code: def get_f1(self, average="micro"):
      return (
          (2 * self.get_p()[0] * self.get_r()[0])
          / (self.get_p()[0] + self.get_r()[0]),
          (2 * self.get_p()[1] * self.get_r()[1])
          / (self.get_p()[1] + self.get_r()[1]),
          (2 * self.get_p()[2] * self.get_r()[2])
          / (self.get_p()[2] + self.get_r()[2]),
      )
  
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 5 for calling the EREEvaluator obj's underlying member method code with example usage: obj.get_f1(average) and returns: unknown,  unknown,  unknown