code: def _get_default_sum_metrics(
      metric=pipeline_dp.Metrics.COUNT, sum=10.0
  ):
      return metrics.SumMetrics(
          aggregation=metric,
          sum=sum,
          clipping_to_min_error=0.0,
          clipping_to_max_error=-5.0,
          expected_l0_bounding_error=-2.0,
          std_l0_bounding_error=3.0,
          std_noise=4.0,
          noise_kind=pipeline_dp.NoiseKind.LAPLACE,
      )
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import dataclasses
  import math
  from unittest import mock
  from unittest.mock import patch
  from analysis import metrics
  from analysis import cross_partition_combiners
  import pipeline_dp
label_desc: Use image node_id 1 for calling a global function with example usage: _get_default_sum_metrics(metric, sum) and returns: metrics