code: def _create_combiner_params_for_count() -> (
      Tuple[
          pipeline_dp.budget_accounting.MechanismSpec,
          pipeline_dp.AggregateParams,
      ]
  ):
      mechanism_spec = pipeline_dp.budget_accounting.MechanismSpec(
          mechanism_type=pipeline_dp.MechanismType.GAUSSIAN,
          _eps=1,
          _delta=0.00001,
      )
      params = pipeline_dp.AggregateParams(
          min_value=0,
          max_value=1,
          max_partitions_contributed=1,
          max_contributions_per_partition=2,
          noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
          metrics=[pipeline_dp.Metrics.COUNT],
      )
      return mechanism_spec, params
  
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 1 for calling a global function with example usage: _create_combiner_params_for_count() and returns: mechanism_spec,  params