code: def test_scriptability(self):
      def func(x):
          boxes = Boxes(x)
          test = boxes.to(torch.device("cpu")).tensor
          return boxes.area(), test
  
      f = torch.jit.script(func)
      f = reload_script_model(f)
      f(torch.rand((3, 4)))
  
      data = torch.rand((3, 4))
  
      def func_cat(x: torch.Tensor):
          boxes1 = Boxes(x)
          boxes2 = Boxes(x)
          # boxes3 = Boxes.cat([boxes1, boxes2])  # this is not supported by torchsript for now.
          boxes3 = boxes1.cat([boxes1, boxes2])
          return boxes3
  
      f = torch.jit.script(func_cat)
      script_box = f(data)
      self.assertTrue(
          torch.equal(torch.cat([data, data]), script_box.tensor)
      )
  
imports: import json
  import math
  import numpy
  import unittest
  import torch
  from detectron2.structures import Boxes, BoxMode, pairwise_ioa, pairwise_iou
  from detectron2.utils.testing import reload_script_model
label_desc: Use image node_id 3 for calling the TestBoxes obj's underlying member method code with example usage: obj.test_scriptability() and returns: boxes,  test, boxes3