code: def validate_module(self, pipeline):
      if self.contrast_choice == BY_SINGLE_MEASUREMENT:
          for group in self.single_measurements:
              group.validate_group()
      elif self.contrast_choice == BY_MODEL:
          features = self.get_classifier_features()
          for feature in features:
              fuzzy_feature = (
                  self.rules.Rule.return_fuzzy_measurement_name(
                      pipeline.get_measurement_columns(),
                      feature[: feature.index("_")],
                      feature[feature.index("_") :],
                      True,
                      self.allow_fuzzy,
                  )
              )
              if fuzzy_feature == "":
                  raise ValidationError(
                      f"""The classifier {self.model_file_name}, requires the measurement "{feature}", but that 
  measurement is not available at this stage of the pipeline. Consider adding modules to produce the measurement.""",
                      self.model_file_name,
                  )
          if self.create_class_sets.value:
              names = set(
                  [
                      group.class_objects_name.value
                      for group in self.desired_classes
                  ]
              )
              if len(names) != len(self.desired_classes):
                  raise ValidationError(
                      "Classes being extracted as object sets must have unique names",
                      self.desired_classes[0].class_objects_name,
                  )
  
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 25 for calling the ClassifyObjects obj's underlying member method code with example usage: obj.validate_module(pipeline) without return types