code: def test_construct_tree_from_spans_handles_nested_labels(self):
      # The tree construction should split the "S-NP" into (S (NP ...)).
      tree_spans = [((0, 1), "D"), ((1, 2), "N"), ((0, 2), "S-NP")]
      sentence = ["the", "dog"]
      tree = self.model.construct_tree_from_spans(
          dict((x, y) for x, y in tree_spans), sentence
      )
      correct_tree = Tree.fromstring("(S (NP (D the) (N dog)))")
      assert tree == correct_tree
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/models/constituency_parser_test.py
imports: from __future__ import division
  from __future__ import absolute_import
  from nltk import Tree
  import torch
  from allennlp.common.testing.model_test_case import ModelTestCase
  from allennlp.models.constituency_parser import SpanInformation
  from allennlp.training.metrics import EvalbBracketingScorer
label_desc: Use image node_id 9 for calling the SpanConstituencyParserTest obj's underlying member method code with example usage: obj.test_construct_tree_from_spans_handles_nested_labels() without return types