How to use the identify.O_WEIGHTED_VARIANCE function in identify

if new_setting_values[UNCLUMP_METHOD_VAR] == cps.DO_NOT_USE:
                new_setting_values[UNCLUMP_METHOD_VAR] = UN_NONE
            if new_setting_values[WATERSHED_VAR] == cps.DO_NOT_USE:
                new_setting_values[WATERSHED_VAR] = WA_NONE
            variable_revision_number = 1
            from_matlab = False
        if (not from_matlab) and variable_revision_number == 1:
            # Added LOG method
            setting_values = list(setting_values)
            setting_values += [ cps.YES, ".5" ]
            variable_revision_number = 2
        
        if (not from_matlab) and variable_revision_number == 2:
            # Added Otsu options
            setting_values = list(setting_values)
            setting_values += [cpmi.O_TWO_CLASS, cpmi.O_WEIGHTED_VARIANCE,
                               cpmi.O_FOREGROUND]
            variable_revision_number = 3
        
        if (not from_matlab) and variable_revision_number == 3:
            # Added more LOG options
            setting_values = setting_values + [cps.YES, "5"]
            variable_revision_number = 4
        
        if (not from_matlab) and variable_revision_number == 4:
            # Added # of object limits
            setting_values = setting_values + [LIMIT_NONE, "500"]
            variable_revision_number = 5
            
        if (not from_matlab) and variable_revision_number == 5:
            # Changed object number limit option from "No action" to "Continue"
            if setting_values[-2] == "No action":

if setting_values[10] == cps.DO_NOT_USE:
                new_setting_values.append(cps.NO)
            else:
                new_setting_values.append(cps.YES)
            setting_values = new_setting_values
            from_matlab = False
            variable_revision_number = 1
        if from_matlab:
            NotImplementedError("Don't know how to convert Matlab IdentifySecondary revision # %d"%(variable_revision_number))
        if variable_revision_number != self.variable_revision_number:
            NotImplementedError("Don't know how to handle IdentifySecondary revision # %d"%(variable_revision_number))
        if (not from_matlab) and variable_revision_number == 1:
            # Removed test mode
            # added Otsu parameters.
            setting_values = setting_values[:11]+setting_values[12:]
            setting_values += [cpmi.O_TWO_CLASS, cpmi.O_WEIGHTED_VARIANCE,
                               cpmi.O_FOREGROUND]
            variable_revision_number = 2
        if (not from_matlab) and variable_revision_number == 2:
            # Added discarding touching
            setting_values = setting_values + [cps.NO, cps.NO, "FilteredNuclei"]
            variable_revision_number = 3
        if (not from_matlab) and variable_revision_number == 3:
            # Added new primary outlines
            setting_values = setting_values + [cps.NO, "FilteredNucleiOutlines"]
            variable_revision_number = 4
        return setting_values, variable_revision_number, from_matlab

def threshold_scale(self):
        '''The "scale" for the threshold = minor parameterizations'''
        #
        # Distinguish Otsu choices from each other
        #
        threshold_algorithm = self.threshold_algorithm
        if threshold_algorithm == cpthresh.TM_OTSU:
            if self.two_class_otsu == O_TWO_CLASS:
                scale = "2"
            else:
                scale = "3"
                if self.assign_middle_to_foreground == O_FOREGROUND:
                    scale += "F"
                else:
                    scale += "B"
            if self.use_weighted_variance == O_WEIGHTED_VARIANCE:
                scale += "W"
            else:
                scale += "S"
            return scale
        elif threshold_algorithm == cpthresh.TM_MOG:
            return str(int(self.object_fraction.value * 100))