code: def display(self, workspace, figure):
      input_objects_segmented = (
          workspace.display_data.input_objects_segmented
      )
  
      output_objects_segmented = (
          workspace.display_data.output_objects_segmented
      )
  
      figure.set_subplots((2, 1))
      cmap = figure.return_cmap(numpy.max(input_objects_segmented))
  
      figure.subplot_imshow_labels(
          0,
          0,
          input_objects_segmented,
          self.object_name.value,
          colormap=cmap,
      )
  
      figure.subplot_imshow_labels(
          1,
          0,
          output_objects_segmented,
          self.output_object_name.value,
          sharexy=figure.subplot(0, 0),
          colormap=cmap,
      )
  
imports: from cellprofiler_core.module import Module
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.subscriber import LabelSubscriber
  from cellprofiler_core.setting.text import LabelName, Integer
  from cellprofiler_core.setting import Measurement
  from cellprofiler_core.utilities.core.module.identify import add_object_location_measurements, add_object_count_measurements, get_object_measurement_columns
  from cellprofiler_library.modules import expand_or_shrink_objects
  from cellprofiler.modules import _help
  import centrosome.cpmorphology
  import numpy
  import scipy.ndimage
  import cellprofiler_core.object
label_desc: Use image node_id 5 for calling the ExpandOrShrinkObjects obj's underlying member method code with example usage: obj.display(workspace, figure) without return types