code: def test_padding_handles_list_fields_with_padding_values(self):
      array1 = ArrayField(numpy.ones([2, 3]), padding_value=-1)
      array2 = ArrayField(numpy.ones([1, 5]), padding_value=-1)
      empty_array = array1.empty_field()
      list_field = ListField([array1, array2, empty_array])
  
      returned_tensor = (
          list_field.as_tensor(list_field.get_padding_lengths())
          .detach()
          .cpu()
          .numpy()
      )
      correct_tensor = numpy.array(
          [
              [
                  [1.0, 1.0, 1.0, -1.0, -1.0],
                  [1.0, 1.0, 1.0, -1.0, -1.0],
              ],
              [
                  [1.0, 1.0, 1.0, 1.0, 1.0],
                  [-1.0, -1.0, -1.0, -1.0, -1.0],
              ],
              [
                  [-1.0, -1.0, -1.0, -1.0, -1.0],
                  [-1.0, -1.0, -1.0, -1.0, -1.0],
              ],
          ]
      )
      numpy.testing.assert_array_equal(returned_tensor, correct_tensor)
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/data/fields/array_field_test.py
imports: from __future__ import absolute_import
  from __future__ import print_function
  import numpy
  from allennlp.common.testing.test_case import AllenNlpTestCase
  from allennlp.data.fields import ArrayField, ListField
label_desc: Use image node_id 4 for calling the TestArrayField obj's underlying member method code with example usage: obj.test_padding_handles_list_fields_with_padding_values() without return types