code: def test_expand_two():
      """Expand two objects once"""
      labels = numpy.zeros((10, 10), int)
      labels[2, 3] = 1
      labels[6, 5] = 2
      i, j = numpy.mgrid[0:10, 0:10]
      expected = ((i - 2) ** 2 + (j - 3) ** 2 <= 1).astype(int) + (
          (i - 6) ** 2 + (j - 5) ** 2 <= 1
      ).astype(int) * 2
      workspace, module = make_workspace(
          labels, cellprofiler.modules.expandorshrinkobjects.O_EXPAND, 1
      )
      module.run(workspace)
      objects = workspace.object_set.get_objects(OUTPUT_NAME)
      assert numpy.all(objects.segmented == expected)
  
imports: import centrosome.cpmorphology
  import centrosome.outline
  import numpy
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler_core.module
  import cellprofiler.modules.expandorshrinkobjects
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.preferences
  import cellprofiler_core.workspace
  import cellprofiler_core.measurement
label_desc: Use image node_id 4 for calling a global function with example usage: test_expand_two() without return types