code: def test_run(image, module, image_set, workspace):
      module.x_name.value = "example"
  
      module.y_name.value = "ReduceNoise"
  
      module.size.value = 7
  
      module.distance.value = 11
  
      module.cutoff_distance.value = 0.1
  
      module.run(workspace)
  
      actual = image_set.get_image("ReduceNoise")
  
      desired = skimage.restoration.denoise_nl_means(
          fast_mode=True,
          h=0.1,
          image=image.pixel_data,
          channel_axis=2 if image.multichannel else None,
          patch_distance=11,
          patch_size=7,
      )
  
      numpy.testing.assert_array_almost_equal(
          actual.pixel_data, desired
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_run(image, module, image_set, workspace) without return types