code: def test_erase_objects():
      """Set up a limit on the # of objects and exceed it - erasing objects"""
      maximum_object_count = 3
      pixels = numpy.zeros((20, 21))
      pixels[2:8, 2:8] = 0.5
      pixels[12:18, 2:8] = 0.5
      pixels[2:8, 12:18] = 0.5
      pixels[12:18, 12:18] = 0.5
      image = cellprofiler_core.image.Image(pixels)
      image_set_list = cellprofiler_core.image.ImageSetList()
      image_set = image_set_list.get_image_set(0)
      image_set.add("my_image", image)
      object_set = cellprofiler_core.object.ObjectSet()
  
      x = (
          cellprofiler.modules.identifyprimaryobjects.IdentifyPrimaryObjects()
      )
      x.use_advanced.value = True
      x.y_name.value = "my_object"
      x.x_name.value = "my_image"
      x.exclude_size.value = False
      x.unclump_method.value = (
          cellprofiler.modules.identifyprimaryobjects.UN_NONE
      )
      x.watershed_method.value = (
          cellprofiler.modules.identifyprimaryobjects.WA_NONE
      )
      x.threshold.threshold_scope.value = (
          cellprofiler.modules.threshold.TS_GLOBAL
      )
      x.threshold.global_operation.value = (
          cellprofiler.modules.threshold.TM_MANUAL
      )
      x.threshold.manual_threshold.value = 0.25
      x.threshold.threshold_correction_factor.value = 1
      x.limit_choice.value = (
          cellprofiler.modules.identifyprimaryobjects.LIMIT_ERASE
      )
      x.maximum_object_count.value = maximum_object_count
      x.set_module_num(1)
      pipeline = cellprofiler_core.pipeline.Pipeline()
      pipeline.add_module(x)
      measurements = cellprofiler_core.measurement.Measurements()
      workspace = cellprofiler_core.workspace.Workspace(
          pipeline,
          x,
          image_set,
          object_set,
          measurements,
          image_set_list,
      )
      x.run(workspace)
      assert (
          measurements.get_current_image_measurement("Count_my_object")
          == 0
      )
      my_objects = object_set.get_objects("my_object")
      assert numpy.all(my_objects.segmented == 0)
      assert numpy.max(my_objects.unedited_segmented) == 4
  
imports: import io
  import os
  import centrosome.threshold
  import numpy
  import pytest
  import scipy.ndimage
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  from cellprofiler_core.constants.measurement import FF_COUNT, COLTYPE_INTEGER, FF_FINAL_THRESHOLD, COLTYPE_FLOAT, FF_ORIG_THRESHOLD, M_NUMBER_OBJECT_NUMBER, M_LOCATION_CENTER_X, M_LOCATION_CENTER_Y, M_LOCATION_CENTER_Z, FF_SUM_OF_ENTROPIES, FF_WEIGHTED_VARIANCE
  from cellprofiler_core.constants.module._identify import TS_GLOBAL, TS_ADAPTIVE, O_TWO_CLASS, O_FOREGROUND, O_THREE_CLASS, O_BACKGROUND, RB_MODE, RB_SD, RB_MEAN, RB_MEDIAN, RB_MAD, TS_MANUAL, TS_MEASUREMENT
  from cellprofiler_core.image import VanillaImage
  import cellprofiler.modules.identifyprimaryobjects
  import cellprofiler.modules.threshold
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.setting
  import cellprofiler_core.workspace
  import tests.frontend
  import tests.frontend.modules
label_desc: Use image node_id 34 for calling a global function with example usage: test_erase_objects() without return types