code: def test_padding_handles_list_fields(self):
      array1 = TensorField(numpy.ones([2, 3]))
      array2 = TensorField(numpy.ones([1, 5]))
      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, 0.0, 0.0], [1.0, 1.0, 1.0, 0.0, 0.0]],
              [[1.0, 1.0, 1.0, 1.0, 1.0], [0.0, 0.0, 0.0, 0.0, 0.0]],
              [[0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0]],
          ]
      )
      numpy.testing.assert_array_equal(returned_tensor, correct_tensor)
  
file_path: allennlp/tests/data/fields/tensor_field_test.py
imports: import numpy
  import torch
  from allennlp.common.testing.test_case import AllenNlpTestCase
  from allennlp.data.fields import TensorField, ListField
label_desc: Use image node_id 3 for calling the TestTensorField obj's underlying member method code with example usage: obj.test_padding_handles_list_fields() without return types