code: def test_transform_with_return_anonymized_disabled_returns_private_collection(
      self,
  ):
      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,
              )
          )
  
          # Act
          transformer = "Simple transform" >> SimplePrivatePTransform(
              return_anonymized=False
          )
          transformed = private_collection | transformer
  
          # Assert
          self.assertEqual("Simple transform", transformer.label)
          self.assertIsInstance(
              transformed, private_beam.PrivatePCollection
          )
  
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 6 for calling the PrivateBeamTest obj's underlying member method code with example usage: obj.test_transform_with_return_anonymized_disabled_returns_private_collection() without return types