code: def test_as_tensor_handles_larger_padding_dimensions(self):
      shape = [3, 4]
      array = numpy.ones(shape)
      array_field = ArrayField(array)
  
      padded_tensor = (
          array_field.as_tensor({"dimension_0": 5, "dimension_1": 6})
          .detach()
          .cpu()
          .numpy()
      )
      numpy.testing.assert_array_equal(padded_tensor[:3, :4], array)
      numpy.testing.assert_array_equal(padded_tensor[3:, 4:], 0.0)
  
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 2 for calling the TestArrayField obj's underlying member method code with example usage: obj.test_as_tensor_handles_larger_padding_dimensions() without return types