class_docstr: Specifies parameters for multi-parameter Utility Analysis.
  
  All MultiParameterConfiguration attributes corresponds to attributes in
  pipeline_dp.AggregateParams.
  
  UtilityAnalysisEngine can perform utility analysis for multiple sets of
  parameters simultaneously. API for this is the following:
  1. Specify blue-print AggregateParams instance.
  2. Set MultiParameterConfiguration attributes (see the example below). Note
  that each attribute is a sequence of parameter values for which the utility
  analysis will be run. All attributes that have non-None values must have
  the same length.
  3. Pass the created objects to UtilityAnalysisEngine.aggregate().
  
  Example:
      max_partitions_contributed = [1, 2]
      max_contributions_per_partition = [10, 11]
  
      Then the utility analysis will be performed for
        AggregateParams(max_partitions_contributed=1, max_contributions_per_partition=10)
        AggregateParams(max_partitions_contributed=2, max_contributions_per_partition=11)
code: def size(self):
      return self._size
  
file_path: pipelinedp/analysis/data_structures.py
imports: import copy
  import dataclasses
  from typing import Iterable, Optional, Sequence, Union
  import pipeline_dp
  from pipeline_dp import input_validators
label_desc: Use image node_id 2 for calling the MultiParameterConfiguration obj's underlying member method code with example usage: obj.size() and returns: self