def METHOD_NAME():
    labels = numpy.zeros((5, 10, 10), dtype=numpy.uint8)
    labels[:2, :2, :2] = 1
    labels[3:, 8:, 8:] = 2
    expected_area = 16
    expected_perimeter = 16
    expected_total_area = 500
    workspace = make_workspace(labels)
    workspace.pipeline.set_volumetric(True)
    module = workspace.module
    module.operand_choice.value = "Objects"
    module.run(workspace)
    def mn(x):
        return "AreaOccupied_%s_%s" % (x, module.objects_list.value[0])
    numpy.testing.assert_array_equal(
        workspace.measurements.get_current_measurement("Image", mn("VolumeOccupied")),
        expected_area,
    )
    numpy.testing.assert_array_almost_equal(
        workspace.measurements.get_current_measurement("Image", mn("SurfaceArea")),
        expected_perimeter,
        decimal=0,
    )
    numpy.testing.assert_array_equal(
        workspace.measurements.get_current_measurement("Image", mn("TotalVolume")),
        expected_total_area,
    )