code: def _get_default_extractors(self) -> pipeline_dp.DataExtractors:
      return pipeline_dp.DataExtractors(
          privacy_id_extractor=lambda x: x,
          partition_extractor=lambda x: x,
          value_extractor=lambda x: x,
      )
  
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 1 for calling the DpEngineTest obj's underlying member method code with example usage: obj._get_default_extractors() and returns: pipeline_dp