code: def test_value2(
      self, arguments, image, expected_shape, expected_value
  ):
      result = GenerateWatershedMaskd(**arguments)({"img": image})
      self.assertEqual(result["mask"].shape, expected_shape)
  
      if isinstance(result["mask"], torch.Tensor):
          result["mask"] = result["mask"].cpu().numpy()
      self.assertEqual(
          np.unique(result["mask"]).tolist(), expected_value
      )
  
file_path: MONAI/tests/test_generate_watershed_maskd.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.apps.pathology.transforms.post.dictionary import GenerateWatershedMaskd
  from monai.utils import min_version, optional_import
  from tests.utils import TEST_NDARRAYS
label_desc: Use image node_id 2 for calling the TestGenerateWatershedMaskd obj's underlying member method code with example usage: obj.test_value2(arguments, image, expected_shape, expected_value) without return types