code: def prepare_settings(self, setting_values):
      objects_count, bin_counts_count, heatmap_count = [
          int(x) for x in setting_values[1:4]
      ]
  
      for sequence, add_fn, count in (
          (self.objects, self.add_object, objects_count),
          (self.bin_counts, self.add_bin_count, bin_counts_count),
          (self.heatmaps, self.add_heatmap, heatmap_count),
      ):
          while len(sequence) > count:
              del sequence[-1]
  
          while len(sequence) < count:
              add_fn()
  
imports: import centrosome.cpmorphology
  import centrosome.propagate
  import centrosome.zernike
  import matplotlib.cm
  import numpy
  import numpy.ma
  import scipy.ndimage
  import scipy.sparse
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import Module
  from cellprofiler_core.preferences import get_default_colormap
  from cellprofiler_core.setting import HiddenCount, Divider, SettingsGroup, Binary, ValidationError
  from cellprofiler_core.setting.choice import Choice, Colormap
  from cellprofiler_core.setting.do_something import DoSomething, RemoveSettingButton
  from cellprofiler_core.setting.subscriber import LabelSubscriber, ImageListSubscriber, ImageSubscriber
  from cellprofiler_core.setting.text import Integer, ImageName
  from cellprofiler_core.utilities.core.object import crop_labels_and_image, size_similarly
  import cellprofiler.gui.help.content
label_desc: Use image node_id 9 for calling the MeasureObjectIntensityDistribution obj's underlying member method code with example usage: obj.prepare_settings(setting_values) without return types