code: def test_sink_min(self):
      transform = UltrasoundConfidenceMapTransform(sink_mode="min")
  
      # This should not raise an exception for torch tensor
      result_torch = transform(self.input_img_torch)
      self.assertIsInstance(result_torch, torch.Tensor)
  
      # This should not raise an exception for numpy array
      result_np = transform(self.input_img_np)
      self.assertIsInstance(result_np, np.ndarray)
  
file_path: MONAI/tests/test_ultrasound_confidence_map_transform.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.transforms import UltrasoundConfidenceMapTransform
  from tests.utils import assert_allclose
label_desc: Use image node_id 9 for calling the TestUltrasoundConfidenceMapTransform obj's underlying member method code with example usage: obj.test_sink_min() without return types