code: def test_run_e2e_add_dp_noise(self):
      # Arrange
      data = [(i, i) for i in range(100)]
      accountant = pipeline_dp.NaiveBudgetAccountant(
          total_epsilon=2, total_delta=0
      )
      engine = pipeline_dp.DPEngine(
          accountant, pipeline_dp.LocalBackend()
      )
      explain_computation_report = (
          pipeline_dp.ExplainComputationReport()
      )
      params = pipeline_dp.aggregate_params.AddDPNoiseParams(
          noise_kind=pipeline_dp.NoiseKind.LAPLACE,
          l0_sensitivity=5,
          linf_sensitivity=15,
      )
  
      # Act
      output = engine.add_dp_noise(
          data,
          params,
          out_explain_computation_report=explain_computation_report,
      )
      accountant.compute_budgets()
      output = list(output)
      # Assert
      noise_values = [(value - index) for index, value in output]
      self.assertGreater(np.std(noise_values), 10)
      # Expected Laplace parameter is
      # l0_sensitivity*linf_sensitivity/epsilon = 5*15/2 = 37.5
      self.assertContainsSubsequence(
          explain_computation_report.text(),
          "Adding NoiseKind.LAPLACE noise with parameter 37.5",
      )
  
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 44 for calling the DpEngineTest obj's underlying member method code with example usage: obj.test_run_e2e_add_dp_noise() without return types