code: def test_pad_to_smaller_window_than_input(self):
      rand_image = np.random.random([10, 10, 2, 1])
      data_dict = {"image": rand_image}
      tst = PadLayer(("image",), (0,), pad_to=(5, 5, 10))
      # test straightforward pad_to
      padded = tst.layer_op(data_dict)
      self.assertTrue(padded[0]["image"].shape == (10, 10, 10, 1))
      depadded = tst.inverse_op(padded[0])
      self.assertTrue(np.all(depadded[0]["image"] == rand_image))
  
imports: from __future__ import absolute_import, print_function
  import numpy
  import tensorflow
  from niftynet.layer.pad import PadLayer
  from tests.niftynet_testcase import NiftyNetTestCase
label_desc: Use image node_id 14 for calling the PaddingTest obj's underlying member method code with example usage: obj.test_pad_to_smaller_window_than_input() without return types