code: def compute_operation(self, numerator, denominator):
      if self.operation == O_NONE:
          result = numerator
      elif self.operation == O_ADD:
          result = numerator + denominator
      elif self.operation == O_SUBTRACT:
          result = numerator - denominator
      elif self.operation == O_MULTIPLY:
          result = numerator * denominator
      elif self.operation == O_DIVIDE:
          if numpy.isscalar(denominator):
              if denominator == 0:
                  if numpy.isscalar(numerator):
                      result = numpy.NaN
                  else:
                      result = numpy.array([numpy.NaN] * len(numerator))
              else:
                  result = numerator / denominator
          else:
              result = numerator / denominator
              result[denominator == 0] = numpy.NaN
      else:
          raise NotImplementedError(
              "Unsupported operation: %s" % self.operation.value
          )
      #
      # Post-operation rescaling
      #
      if self.wants_log.value:
          result = numpy.log10(result)
      if self.operation != O_NONE:
          result *= self.final_multiplicand.value
          # Handle NaNs with np.power instead of **
          result = numpy.power(result, self.final_exponent.value)
      result += self.final_addend.value
  
      if self.rounding == ROUNDING[1]:
          result = numpy.around(result, self.rounding_digit.value)
  
      elif self.rounding == ROUNDING[2]:
          result = numpy.floor(result)
  
      elif self.rounding == ROUNDING[3]:
          result = numpy.ceil(result)
  
      if self.constrain_lower_bound:
          if numpy.isscalar(result):
              if result < self.lower_bound.value:
                  result = self.lower_bound.value
          else:
              result[
                  result < self.lower_bound.value
              ] = self.lower_bound.value
  
      if self.constrain_upper_bound:
          if numpy.isscalar(result):
              if result > self.upper_bound.value:
                  result = self.upper_bound.value
          else:
              result[
                  result > self.upper_bound.value
              ] = self.upper_bound.value
  
      return result
  
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 6 for calling the CalculateMath obj's underlying member method code with example usage: obj.compute_operation(numerator, denominator) and returns: result