code: def test_forward_can_handle_a_single_word_as_input(self):
      # A very annoying edge case: the PTB has several single word sentences.
      # when running with a batch size 1, we have to be very careful
      # about how we .squeeze/.unsqueeze things to make sure it still runs.
      text = {"tokens": torch.LongTensor([[1]])}
      pos_tags = torch.LongTensor([[1]])
      spans = torch.LongTensor([[[0, 0]]])
      label = torch.LongTensor([[1]])
      self.model(text, spans, [{"tokens": ["hello"]}], pos_tags, label)
  
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 5 for calling the SpanConstituencyParserTest obj's underlying member method code with example usage: obj.test_forward_can_handle_a_single_word_as_input() without return types