code: def test_privacy_id_count_calls_aggregate_with_params(
      self, mock_aggregate
  ):
      runner = fn_api_runner.FnApiRunner()
      with beam.Pipeline(runner=runner) as pipeline:
          # Arrange
          pcol = pipeline | "Create produce" >> beam.Create(
              [1, 2, 3, 4, 5, 6]
          )
          budget_accountant = budget_accounting.NaiveBudgetAccountant(
              total_epsilon=1, total_delta=0.01
          )
          private_collection = (
              pcol
              | "Create private collection"
              >> private_beam.MakePrivate(
                  budget_accountant=budget_accountant,
                  privacy_id_extractor=PrivateBeamTest.privacy_id_extractor,
              )
          )
  
          privacy_id_count_params = (
              aggregate_params.PrivacyIdCountParams(
                  noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
                  max_partitions_contributed=2,
                  budget_weight=1,
                  partition_extractor=lambda x: f"pk:{x // 10}",
              )
          )
  
          # Act
          transformer = private_beam.PrivacyIdCount(
              privacy_id_count_params=privacy_id_count_params
          )
          private_collection | transformer
  
          # Assert
          self.assertEqual(
              transformer._budget_accountant, budget_accountant
          )
          mock_aggregate.assert_called_once()
  
          args = mock_aggregate.call_args[0]
  
          params = pipeline_dp.AggregateParams(
              noise_kind=pipeline_dp.NoiseKind.GAUSSIAN,
              metrics=[pipeline_dp.Metrics.PRIVACY_ID_COUNT],
              max_partitions_contributed=privacy_id_count_params.max_partitions_contributed,
              max_contributions_per_partition=1,
          )
          self.assertEqual(args[1], params)
  
imports: import unittest
  import apache_beam
  from apache_beam.runners.portability import fn_api_runner
  from apache_beam import pvalue
  from unittest.mock import patch
  import apache_beam.testing.util
  from apache_beam.testing.test_pipeline import TestPipeline
  import pipeline_dp
  from pipeline_dp import private_beam
  from pipeline_dp import aggregate_params, budget_accounting
label_desc: Use image node_id 20 for calling the PrivateBeamTest obj's underlying member method code with example usage: obj.test_privacy_id_count_calls_aggregate_with_params(mock_aggregate) without return types