code: def upgrade_settings(
      self, setting_values, variable_revision_number, module_name
  ):
      if variable_revision_number == 1:
          # Added a final addition number as well as options to constrain
          # the result to an upper and/or lower bound.
          setting_values += ["0", "No", "0", "No", "1"]
          variable_revision_number = 2
      if variable_revision_number == 2:
          clip_values = setting_values[-4:]
          setting_values = setting_values[:-4]
          setting_values += ["Not rounded", 0]
          setting_values += clip_values
          variable_revision_number = 3
      return setting_values, variable_revision_number
  
imports: import logging
  import numpy
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT
  from cellprofiler_core.constants.measurement import IMAGE
  from cellprofiler_core.constants.measurement import R_FIRST_IMAGE_NUMBER
  from cellprofiler_core.constants.measurement import R_FIRST_OBJECT_NUMBER
  from cellprofiler_core.constants.measurement import R_PARENT
  from cellprofiler_core.constants.measurement import R_SECOND_IMAGE_NUMBER
  from cellprofiler_core.constants.measurement import R_SECOND_OBJECT_NUMBER
  from cellprofiler_core.module import Module
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting import Divider
  from cellprofiler_core.setting import Measurement
  from cellprofiler_core.setting import ValidationError
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.subscriber import LabelSubscriber
  from cellprofiler_core.setting.text import Alphanumeric
  from cellprofiler_core.setting.text import Float
  from cellprofiler_core.setting.text import Integer
label_desc: Use image node_id 15 for calling the CalculateMath obj's underlying member method code with example usage: obj.upgrade_settings(setting_values, variable_revision_number, module_name) and returns: setting_values,  variable_revision_number