code: def test_as_tensor_can_handle_multiple_token_indexers(self):
      self.field1._token_indexers = self.words_and_characters_indexers
      self.field2._token_indexers = self.words_and_characters_indexers
      self.field3._token_indexers = self.words_and_characters_indexers
  
      list_field = ListField([self.field1, self.field2, self.field3])
      list_field.index(self.vocab)
      padding_lengths = list_field.get_padding_lengths()
      tensor_dict = list_field.as_tensor(padding_lengths)
      words = tensor_dict["words"]["tokens"].detach().cpu().numpy()
      characters = (
          tensor_dict["characters"]["token_characters"]
          .detach()
          .cpu()
          .numpy()
      )
      numpy.testing.assert_array_almost_equal(
          words,
          numpy.array(
              [[2, 3, 4, 5, 0], [2, 3, 4, 1, 5], [2, 3, 1, 5, 0]]
          ),
      )
  
      numpy.testing.assert_array_almost_equal(
          characters[0],
          numpy.array(
              [
                  [5, 1, 1, 2, 0, 0, 0, 0, 0],
                  [1, 2, 0, 0, 0, 0, 0, 0, 0],
                  [1, 0, 0, 0, 0, 0, 0, 0, 0],
                  [2, 3, 4, 5, 3, 4, 6, 3, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          ),
      )
  
      numpy.testing.assert_array_almost_equal(
          characters[1],
          numpy.array(
              [
                  [5, 1, 1, 2, 0, 0, 0, 0, 0],
                  [1, 2, 0, 0, 0, 0, 0, 0, 0],
                  [1, 0, 0, 0, 0, 0, 0, 0, 0],
                  [1, 1, 1, 1, 3, 1, 3, 4, 5],
                  [2, 3, 4, 5, 3, 4, 6, 3, 0],
              ]
          ),
      )
  
      numpy.testing.assert_array_almost_equal(
          characters[2],
          numpy.array(
              [
                  [5, 1, 1, 2, 0, 0, 0, 0, 0],
                  [1, 2, 0, 0, 0, 0, 0, 0, 0],
                  [1, 4, 1, 5, 1, 3, 1, 0, 0],
                  [2, 3, 4, 5, 3, 4, 6, 3, 0],
                  [0, 0, 0, 0, 0, 0, 0, 0, 0],
              ]
          ),
      )
  
imports: from typing import Dict
  import numpy
  import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token, Vocabulary, Instance
  from allennlp.data.fields import TextField, LabelField, ListField, IndexField, SequenceLabelField
  from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenCharactersIndexer
  from allennlp.data.data_loaders import SimpleDataLoader
  from allennlp.data.tokenizers import SpacyTokenizer
  from allennlp.models import Model
  from allennlp.modules import Embedding
  from allennlp.modules.text_field_embedders import BasicTextFieldEmbedder
label_desc: Use image node_id 9 for calling the TestListField obj's underlying member method code with example usage: obj.test_as_tensor_can_handle_multiple_token_indexers() without return types