code: def get_metric(self, reset=True):
      res = {}
      f, pre, rec = _compute_f_pre_rec(1, self.tp, self.fn, self.fp)
      res["f"] = round(f, 4) * 100
      res["rec"] = round(rec, 4) * 100
      res["pre"] = round(pre, 4) * 100
      res["em"] = round(self.em / self.total, 4)
      if reset:
          self.total = 0
          self.fp = 0
          self.tp = 0
          self.fn = 0
          self.em = 0
      return res
  
file_path: DeepKE/src/deepke/name_entity_re/few_shot/module/metrics.py
imports: import numpy
label_desc: Use image node_id 3 for calling the Seq2SeqSpanMetric obj's underlying member method code with example usage: obj.get_metric(reset) and returns: res