code: def run(self, workspace):
      for object_name in (self.objects_x.value, self.objects_y.value):
          if object_name not in workspace.object_set.object_names:
              raise ValueError(
                  "The %s objects are missing from the pipeline."
                  % object_name
              )
      objects_x = workspace.object_set.get_objects(self.objects_x.value)
  
      objects_y = workspace.object_set.get_objects(self.objects_y.value)
  
      dimensions = objects_x.dimensions
  
      assert (
          objects_x.shape == objects_y.shape
      ), "Objects sets must have the same dimensions"
  
      labels_x = objects_x.segmented.copy().astype("uint16")
      labels_y = objects_y.segmented.copy().astype("uint16")
  
      output = combineobjects(
          self.merge_method.value, labels_x, labels_y, dimensions
      )
      output_labels = skimage.morphology.label(output)
      output_objects = Objects()
      output_objects.segmented = output_labels
  
      workspace.object_set.add_objects(
          output_objects, self.output_object.value
      )
  
      m = workspace.measurements
      object_count = numpy.max(output_labels)
      add_object_count_measurements(
          m, self.output_object.value, object_count
      )
      add_object_location_measurements(
          m, self.output_object.value, output_labels
      )
  
      if self.show_window:
          workspace.display_data.input_object_x_name = (
              self.objects_x.value
          )
          workspace.display_data.input_object_x = objects_x.segmented
          workspace.display_data.input_object_y_name = (
              self.objects_y.value
          )
          workspace.display_data.input_object_y = objects_y.segmented
          workspace.display_data.output_object_name = (
              self.output_object.value
          )
          workspace.display_data.output_object = (
              output_objects.segmented
          )
          workspace.display_data.dimensions = dimensions
  
imports: import numpy
  import scipy.ndimage
  import skimage.morphology
  import skimage.segmentation
  from cellprofiler_core.module import Identify
  from cellprofiler_core.object import Objects
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.subscriber import LabelSubscriber
  from cellprofiler_core.setting.text import LabelName
  from cellprofiler_core.utilities.core.module.identify import add_object_count_measurements
  from cellprofiler_core.utilities.core.module.identify import get_object_measurement_columns
  from cellprofiler_core.utilities.core.module.identify import add_object_location_measurements
  from cellprofiler_library.modules import combineobjects
label_desc: Use image node_id 4 for calling the CombineObjects obj's underlying member method code with example usage: obj.run(workspace) without return types