code: def ner_f1__f1_macro__f1(
      ner_true, ner_pred, macro_true, macro_pred, f1_true, f1_pred
  ):
      ner_f1_res = ner_f1(ner_true, ner_pred) / 100
      f1_macro_res = round_f1_macro(macro_true, macro_pred)
      f1_res = round_f1(f1_true, f1_pred)
      return (ner_f1_res + f1_macro_res + f1_res) / 3
  
file_path: DeepPavlov/deeppavlov/metrics/fmeasure.py
imports: import itertools
  from collections import OrderedDict
  from itertools import chain
  from logging import getLogger
  import numpy
  from sklearn.metrics import f1_score
  from deeppavlov.core.common.metrics_registry import register_metric
label_desc: Use image node_id 10 for calling a global function with example usage: ner_f1__f1_macro__f1(ner_true, ner_pred, macro_true, macro_pred, f1_true, f1_pred) and returns: unknown