code: def get_aggregate_params():
      # Limit contributions to 1 per partition, contribution error will be half of the count.
      return pipeline_dp.AggregateParams(
          noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
          metrics=[pipeline_dp.Metrics.COUNT],
          max_partitions_contributed=1,
          max_contributions_per_partition=1,
      )
  
file_path: pipelinedp/examples/restaurant_visits/run_without_frameworks_utility_analysis.py
imports: from absl import app
  from absl import flags
  import pipeline_dp
  import pandas
  import analysis.utility_analysis
  from analysis.utility_analysis_engine import UtilityAnalysisEngine
label_desc: Use image node_id 3 for calling a global function with example usage: get_aggregate_params() and returns: pipeline_dp