code: def _extract_fn(
      data_extractors: pipeline_dp.DataExtractors, row: DataType
  ) -> DataType:
      """Extracts the columns to (pid, pkey, pvalue).
  
      Args:
        data_extractors: A function to extract privacy_id, partition_key, value of
          the input data.
        row: The data to extract, should usually be raw input of the pipline.
  
      Returns:
        Data in format of (pid, pkey, pvalue) defined by the extractors.
      """
      return (
          data_extractors.privacy_id_extractor(row),
          data_extractors.partition_extractor(row),
          data_extractors.value_extractor(row),
      )
  
file_path: pipelinedp/utility_analysis/data_peeker.py
imports: import dataclasses
  import functools
  from typing import Any, Sequence, Union, Optional, Tuple
  import pipeline_dp
  from utility_analysis import non_private_combiners
label_desc: Use image node_id 1 for calling a global function with example usage: _extract_fn(data_extractors, row) and returns: data_extractors,  data_extractors,  data_extractors