code: def get_f1(
      self,
  ):
      return (2 * self.get_p() * self.get_r()) / (
          self.get_p() + self.get_r()
      )
  
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 NEREvaluator obj's underlying member method code with example usage: obj.get_f1() and returns: unknown