code: def test_run(image, module, image_set, workspace):
      module.x_name.value = "example"
  
      module.y_name.value = "MedialAxis"
  
      module.run(workspace)
  
      actual = image_set.get_image("MedialAxis")
  
      data = image.pixel_data
  
      if image.multichannel:
          data = skimage.color.rgb2gray(data)
  
      if image.dimensions == 3:
          expected_data = numpy.zeros_like(data)
  
          for z, img in enumerate(data):
              expected_data[z] = skimage.morphology.medial_axis(img)
      else:
          expected_data = skimage.morphology.medial_axis(data)
  
      expected = cellprofiler_core.image.Image(
          image=expected_data, dimensions=image.dimensions
      )
  
      numpy.testing.assert_array_equal(
          actual.pixel_data, expected.pixel_data
      )
  
imports: import numpy.testing
  import skimage.color
  import skimage.morphology
  import cellprofiler_core.image
  import cellprofiler.modules.medialaxis
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