code: def run_inverse_test(self, is_array, layer_param, expected_shape):
      if is_array:
          x = self.get_3d_input()
      else:
          x = self.get_3d_input_dict()
      padding_layer = PadLayer(**layer_param)
      out_acti, _ = padding_layer.inverse_op(x)
      print(padding_layer)
      if is_array:
          self.assertAllClose(out_acti.shape, expected_shape)
      else:
          self.assertAllClose(out_acti["image"].shape, expected_shape)
  
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 4 for calling the PaddingTest obj's underlying member method code with example usage: obj.run_inverse_test(is_array, layer_param, expected_shape) without return types