code: def test_evalb_correctly_calculates_bracketing_metrics_over_multiple_trees(
      self,
  ):
      tree1 = Tree.fromstring(
          "(S (VP (D the) (NP dog)) (VP (V chased) (NP (D the) (N cat))))"
      )
      tree2 = Tree.fromstring(
          "(S (NP (D the) (N dog)) (VP (V chased) (NP (D the) (N cat))))"
      )
      evalb_scorer = EvalbBracketingScorer()
      evalb_scorer([tree1, tree2], [tree2, tree2])
      metrics = evalb_scorer.get_metric()
      assert metrics["evalb_recall"] == 0.875
      assert metrics["evalb_precision"] == 0.875
      assert metrics["evalb_f1_measure"] == 0.875
  
file_path: allennlp/tests/training/metrics/evalb_bracketing_scorer_test.py
imports: from typing import Any, Dict, List, Tuple, Union
  import torch
  from nltk import Tree
  from allennlp.common.testing import AllenNlpTestCase, global_distributed_metric, run_distributed_test
  from allennlp.training.metrics import EvalbBracketingScorer
label_desc: Use image node_id 5 for calling the EvalbBracketingScorerTest obj's underlying member method code with example usage: obj.test_evalb_correctly_calculates_bracketing_metrics_over_multiple_trees() without return types