code: def _get_aggregate_params(metrics: List[pipeline_dp.Metric]):
      return pipeline_dp.AggregateParams(
          noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
          metrics=metrics,
          max_partitions_contributed=1,  # does not matter
          max_contributions_per_partition=1,  # does not matter
          min_value=0,  # does not matter
          max_value=1,
      )
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from unittest import mock
  from unittest.mock import patch
  from typing import List, Optional
  import pipeline_dp
  import analysis
  from analysis import metrics
  from analysis import parameter_tuning
  from pipeline_dp.dataset_histograms import histograms
  from pipeline_dp.dataset_histograms import computing_histograms
label_desc: Use image node_id 1 for calling a global function with example usage: _get_aggregate_params(metrics) and returns: pipeline_dp