code: def _get_sum_metrics(self, sum_value: float) -> metrics.SumMetrics:
      return metrics.SumMetrics(
          aggregation=pipeline_dp.Metrics.COUNT,
          sum=sum_value,
          clipping_to_max_error=1,
          clipping_to_min_error=0,
          expected_l0_bounding_error=0,
          std_l0_bounding_error=0,
          std_noise=1,
          noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
      )
  
imports: import copy
  from absl.testing import absltest
  from absl.testing import parameterized
  import pipeline_dp
  import analysis
  from analysis import metrics
  from analysis import utility_analysis
  from analysis.tests import common
  from typing import Optional
label_desc: Use image node_id 2 for calling the UtilityAnalysis obj's underlying member method code with example usage: obj._get_sum_metrics(sum_value) and returns: metrics