class_docstr: Compound combiner for Utility analysis per partition metrics.
class_docstr_tok: ["Compound","combiner","for","Utility","analysis","per","partition","metrics","."]
code: def create_accumulator(
      self, data: PreaggregatedData
  ) -> AccumulatorType:
      if not data:
          # Handle empty partitions. Only encountered when public partitions
          # are used.
          return (([0], [0], [0]), None)
      return (([data[0]], [data[1]], [data[2]]), None)
  
imports: import abc
  import copy
  from dataclasses import dataclass
  from typing import Any, List, Optional, Tuple
  import numpy
  import math
  import pipeline_dp
  from pipeline_dp import budget_accounting
  from pipeline_dp import dp_computations
  from analysis import metrics
  from analysis import poisson_binomial
  from pipeline_dp import partition_selection
label_desc: Use image node_id 1 for calling the CompoundCombiner obj's underlying member method code with example usage: obj.create_accumulator(data) and returns: list,  list,  list,  None, list,  list,  list,  None