docstr: Return the settings to be loaded or saved to/from the pipeline
  
  These are the settings (from cellprofiler_core.settings) that are
  either read from the strings in the pipeline or written out
  to the pipeline. The settings should appear in a consistent
  order so they can be matched to the strings in the pipeline.
docstr_tok: ["Return","the","settings","to","be","loaded","or","saved","to\/from","the","pipeline","These","are","the","settings","(","from","cellprofiler_core.settings",")","that","are","either","read","from","the","strings","in","the","pipeline","or","written","out","to","the","pipeline",".","The","settings","should","appear","in","a","consistent","order","so","they","can","be","matched","to","the","strings","in","the","pipeline","."]
code: def settings(self):
      """Return the settings to be loaded or saved to/from the pipeline
  
      These are the settings (from cellprofiler_core.settings) that are
      either read from the strings in the pipeline or written out
      to the pipeline. The settings should appear in a consistent
      order so they can be matched to the strings in the pipeline.
      """
      result = []
      for image in self.images:
          result += [
              image.image_name,
              image.corrected_image_name,
              image.illum_correct_function_image_name,
              image.divide_or_subtract,
          ]
      result += [
          self.truncate_low,
          self.truncate_high,
      ]
      return result
  
imports: import numpy
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import Module
  from cellprofiler_core.setting import Divider, Binary
  from cellprofiler_core.setting import SettingsGroup
  from cellprofiler_core.setting import ValidationError
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.do_something import DoSomething
  from cellprofiler_core.setting.do_something import RemoveSettingButton
  from cellprofiler_core.setting.subscriber import ImageSubscriber
  from cellprofiler_core.setting.text import ImageName
label_desc: Use image node_id 3 for calling the CorrectIlluminationApply obj's underlying member method code with example usage: obj.settings() and returns: result