Including version compatibility for the Decorator class.

                else:

                    raise Exception('Unsupported metric: {:s}'.format(raw_metric_name)) # pragma: no cover

                metric_data = method_to_metric_fields.setdefault(method_name, dict()).setdefault(metric_name, dict())

                for field_name,labels,value,_,_ in raw_metric_data._child_samples():

                for values in raw_metric_data._child_samples():

                    field_name = values[0]

                    labels = values[1]

                    value = values[2]

                    if field_name == '_bucket': bucket_bounds.add(labels['le'])

                    if len(labels) > 0: field_name = '{:s}:{:s}'.format(field_name, json.dumps(labels, sort_keys=True))

                    metric_data[field_name] = value