code: def test_fields_can_pad_to_greater_than_max_length(self):
      list_field = ListField([self.field1, self.field2, self.field3])
      list_field.index(self.vocab)
      padding_lengths = list_field.get_padding_lengths()
      padding_lengths["list_num_tokens"] = 7
      padding_lengths["num_fields"] = 5
      tensor_dict = list_field.as_tensor(padding_lengths)
      numpy.testing.assert_array_almost_equal(
          tensor_dict["words"][0].detach().cpu().numpy(),
          numpy.array([2, 3, 4, 5, 0, 0, 0]),
      )
      numpy.testing.assert_array_almost_equal(
          tensor_dict["words"][1].detach().cpu().numpy(),
          numpy.array([2, 3, 4, 1, 5, 0, 0]),
      )
      numpy.testing.assert_array_almost_equal(
          tensor_dict["words"][2].detach().cpu().numpy(),
          numpy.array([2, 3, 1, 5, 0, 0, 0]),
      )
      numpy.testing.assert_array_almost_equal(
          tensor_dict["words"][3].detach().cpu().numpy(),
          numpy.array([0, 0, 0, 0, 0, 0, 0]),
      )
      numpy.testing.assert_array_almost_equal(
          tensor_dict["words"][4].detach().cpu().numpy(),
          numpy.array([0, 0, 0, 0, 0, 0, 0]),
      )
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/data/fields/list_field_test.py
imports: from __future__ import absolute_import
  from __future__ import print_function
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token, Vocabulary
  from allennlp.data.fields import TextField, LabelField, ListField, IndexField, SequenceLabelField
  from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenCharactersIndexer
label_desc: Use image node_id 8 for calling the TestListField obj's underlying member method code with example usage: obj.test_fields_can_pad_to_greater_than_max_length() without return types