code: def test_token_embedder_returns_dict(self):
      field = TextField(
          [Token(t) for t in ["A", "sentence"]],
          token_indexers={
              "field_with_dict": DictReturningTokenIndexer(),
              "words": SingleIdTokenIndexer("words"),
              "characters": TokenCharactersIndexer("characters"),
          },
      )
      field.index(self.vocab)
      padding_lengths = field.get_padding_lengths()
      assert padding_lengths == {
          "token_ids": 5,
          "additional_key": 2,
          "words": 2,
          "characters": 2,
          "num_token_characters": 8,
      }
      padding_lengths["token_ids"] = 7
      padding_lengths["additional_key"] = 3
      padding_lengths["words"] = 4
      padding_lengths["characters"] = 4
      tensors = field.as_tensor(padding_lengths)
      assert list(tensors["token_ids"].shape) == [7]
      assert list(tensors["additional_key"].shape) == [3]
      assert list(tensors["words"].shape) == [4]
      assert list(tensors["characters"].shape) == [4, 8]
  
imports: from __future__ import with_statement
  from __future__ import absolute_import
  from __future__ import print_function
  from collections import defaultdict
  import pytest
  import numpy
  from allennlp.data import Token, Vocabulary
  from allennlp.data.fields import TextField
  from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenCharactersIndexer, TokenIndexer
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.util import pad_sequence_to_length
label_desc: Use image node_id 11 for calling the TestTextField obj's underlying member method code with example usage: obj.test_token_embedder_returns_dict() without return types