code: def _create_combiner_params_for_sum(
      min: float, max: float
  ) -> Tuple[
      pipeline_dp.budget_accounting.MechanismSpec,
      pipeline_dp.AggregateParams,
  ]:
      return (
          pipeline_dp.budget_accounting.MechanismSpec(
              mechanism_type=pipeline_dp.MechanismType.GAUSSIAN,
              _eps=1,
              _delta=0.00001,
          ),
          pipeline_dp.AggregateParams(
              max_partitions_contributed=1,
              max_contributions_per_partition=2,
              min_sum_per_partition=min,
              max_sum_per_partition=max,
              noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
              metrics=[pipeline_dp.Metrics.SUM],
          ),
      )
  
imports: import dataclasses
  import numpy
  from absl.testing import absltest
  from absl.testing import parameterized
  from unittest.mock import patch
  from typing import Tuple
  import pipeline_dp
  from analysis import per_partition_combiners
  from analysis import metrics
  from analysis.tests import common
label_desc: Use image node_id 4 for calling a global function with example usage: _create_combiner_params_for_sum(min, max) and returns: pipeline_dp,  pipeline_dp