code: def create_params_default(self):
      return (
          pipeline_dp.AggregateParams(
              noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
              metrics=[
                  agg.Metrics.COUNT,
                  agg.Metrics.SUM,
                  agg.Metrics.PRIVACY_ID_COUNT,
              ],
              min_value=0,
              max_value=1,
              max_partitions_contributed=1,
              max_contributions_per_partition=1,
          ),
          ["pk0", "pk10", "pk11"],
      )
  
imports: import sys
  import unittest
  from typing import List, Optional, Tuple
  from unittest.mock import patch
  import numpy
  import apache_beam
  import apache_beam.testing.test_pipeline
  import apache_beam.testing.util
  import pydp.algorithms.partition_selection
  from absl.testing import absltest
  from absl.testing import parameterized
  import pipeline_dp
  from pipeline_dp import aggregate_params
  from pipeline_dp import budget_accounting
  from pipeline_dp import dp_computations
  from pipeline_dp.budget_accounting import NaiveBudgetAccountant
  from pipeline_dp.pipeline_backend import PipelineBackend
  from pipeline_dp.pipeline_functions import collect_to_container
  from pipeline_dp.report_generator import ReportGenerator
label_desc: Use image node_id 31 for calling the DpEngineTest obj's underlying member method code with example usage: obj.create_params_default() and returns: pipeline_dp,  list