code: def get_categories(self, pipeline, object_name):
      all_object_names = [
          operand.operand_objects.value
          for operand in self.get_operands()
          if operand.object != IMAGE
      ]
      if len(all_object_names):
          if object_name in all_object_names:
              return [C_MATH]
      elif object_name == IMAGE:
          return [C_MATH]
      return []
  
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 12 for calling the CalculateMath obj's underlying member method code with example usage: obj.get_categories(pipeline, object_name) and returns: list, list, list