class_docstr: Compound combiner for Utility analysis per partition metrics.
class_docstr_tok: ["Compound","combiner","for","Utility","analysis","per","partition","metrics","."]
code: def compute_metrics(self, acc: AccumulatorType):
      sparse, dense = acc
      if sparse:
          dense = self._merge_dense(dense, self._to_dense(sparse))
      return super().compute_metrics(dense)
  
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 6 for calling the CompoundCombiner obj's underlying member method code with example usage: obj.compute_metrics(acc) and returns: super