code: def get_measurements(self, pipeline, object_name, category):
      if object_name == IMAGE and category == M_CATEGORY:
          return [
              "_".join((self.grid_image.value, feature))
              for feature in (
                  F_ROWS,
                  F_COLUMNS,
                  F_X_SPACING,
                  F_Y_SPACING,
                  F_X_LOCATION_OF_LOWEST_X_SPOT,
                  F_Y_LOCATION_OF_LOWEST_Y_SPOT,
              )
          ]
      return []
  
imports: import logging
  import centrosome.cpmorphology
  import numpy
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT
  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.setting import Binary
  from cellprofiler_core.setting import Coordinates
  from cellprofiler_core.setting import ValidationError
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.subscriber import ImageSubscriber
  from cellprofiler_core.setting.subscriber import LabelSubscriber
  from cellprofiler_core.setting.text import GridName
  from cellprofiler_core.setting.text import ImageName
  from cellprofiler_core.setting.text import Integer
  from cellprofiler_core.utilities.grid import Grid
label_desc: Use image node_id 22 for calling the DefineGrid obj's underlying member method code with example usage: obj.get_measurements(pipeline, object_name, category) and returns: list, unknown