code: def visible_settings(self):
      result = [self.contrast_choice]
      if self.contrast_choice == BY_TWO_MEASUREMENTS:
          #
          # Visible settings if there are two measurements
          #
          result += [self.object_name]
          for (
              measurement_setting,
              threshold_method_setting,
              threshold_setting,
          ) in (
              (
                  self.first_measurement,
                  self.first_threshold_method,
                  self.first_threshold,
              ),
              (
                  self.second_measurement,
                  self.second_threshold_method,
                  self.second_threshold,
              ),
          ):
              result += [measurement_setting, threshold_method_setting]
              if threshold_method_setting == TM_CUSTOM:
                  result += [threshold_setting]
          result += [self.wants_custom_names]
          if self.wants_custom_names:
              result += [
                  self.low_low_custom_name,
                  self.low_high_custom_name,
                  self.high_low_custom_name,
                  self.high_high_custom_name,
              ]
          result += [self.wants_image]
          if self.wants_image:
              result += [self.image_name]
      elif self.contrast_choice == BY_SINGLE_MEASUREMENT:
          #
          # Visible results per single measurement
          #
          for group in self.single_measurements:
              if group.can_delete:
                  result += [group.divider]
              result += [
                  group.object_name,
                  group.measurement,
                  group.bin_choice,
              ]
              if group.bin_choice == BC_EVEN:
                  result += [
                      group.bin_count,
                      group.low_threshold,
                      group.wants_low_bin,
                      group.high_threshold,
                      group.wants_high_bin,
                  ]
              else:
                  result += [
                      group.custom_thresholds,
                      group.wants_low_bin,
                      group.wants_high_bin,
                  ]
              result += [group.wants_custom_names]
              if group.wants_custom_names:
                  result += [group.bin_names]
              result += [group.wants_images]
              if group.wants_images:
                  result += [group.image_name]
              if group.can_delete:
                  result += [group.remove_settings_button]
          result += [self.add_measurement_button]
      else:
          # Classifier model mode
          result += [
              self.object_name,
              self.model_directory,
              self.model_file_name,
              self.create_class_sets,
              self.allow_fuzzy,
          ]
          if self.create_class_sets.value:
              for group in self.desired_classes:
                  if group.can_delete:
                      result += [group.divider]
                  result += [group.class_name, group.class_objects_name]
                  if group.can_delete:
                      result += [group.remove_settings_button]
              result += [self.add_class_button]
      return result
  
imports: import functools
  import os
  import numpy
  from cellprofiler.modules import _help
  from cellprofiler.utilities.rules import Rules
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT, M_LOCATION_CENTER_X, M_LOCATION_CENTER_Y, COLTYPE_VARCHAR, C_COUNT, C_CHILDREN, C_LOCATION, C_NUMBER, C_PARENT, FTR_OBJECT_NUMBER, FTR_CENTER_X, FTR_CENTER_Y, FTR_CENTER_Z
  from cellprofiler_core.constants.measurement import COLTYPE_INTEGER
  from cellprofiler_core.constants.measurement import IMAGE
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import Module
  from cellprofiler_core.object import Objects
  from cellprofiler_core.preferences import get_default_colormap, get_headless
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting import Divider
  from cellprofiler_core.setting import HiddenCount
  from cellprofiler_core.setting import Measurement
  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 LabelSubscriber
  from cellprofiler_core.setting.text import Alphanumeric, Directory, Filename, LabelName
  from cellprofiler_core.setting.text import Float
  from cellprofiler_core.setting.text import ImageName
  from cellprofiler_core.setting.text import Integer
  from cellprofiler_core.setting.text import Text
  from cellprofiler_core.constants.measurement import FF_CHILDREN_COUNT
  from cellprofiler_core.constants.measurement import FF_COUNT
  from cellprofiler_core.constants.measurement import FF_PARENT
  from cellprofiler_core.module.image_segmentation import ImageSegmentation
label_desc: Use image node_id 7 for calling the ClassifyObjects obj's underlying member method code with example usage: obj.visible_settings() and returns: result