code: def test_distributed_evalb(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))))"
      )
      predicted_trees = [[tree1], [tree2]]
      gold_trees = [[tree2], [tree2]]
      metric_kwargs = {
          "predicted_trees": predicted_trees,
          "gold_trees": gold_trees,
      }
      desired_values = {
          "evalb_recall": 0.875,
          "evalb_precision": 0.875,
          "evalb_f1_measure": 0.875,
      }
      run_distributed_test(
          [-1, -1],
          global_distributed_metric,
          EvalbBracketingScorer(),
          metric_kwargs,
          desired_values,
          exact=True,
      )
  
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 7 for calling the EvalbBracketingScorerTest obj's underlying member method code with example usage: obj.test_distributed_evalb() without return types