code: def test_script(self):
      net = BasicUNetPlusPlus(
          spatial_dims=2,
          deep_supervision=True,
          in_channels=1,
          out_channels=3,
      )
      test_data = torch.randn(16, 1, 32, 32)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_basic_unetplusplus.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.nets import BasicUNetPlusPlus
  from tests.utils import test_script_save
label_desc: Use image node_id 3 for calling the TestBasicUNETPlusPlus obj's underlying member method code with example usage: obj.test_script() without return types