class_docstr: A class to mean-aggregate multi-objective costs to a single cost.
  
  Parameters
  ----------
  scenario : Scenario
  objective_weights : list[float] | None, defaults to None
      Weights for an weighted average. Must be of the same length as the number of objectives.
docstr: Returns the meta data of the created object.
code: def meta(self) -> dict[str, Any]:
      """Returns the meta data of the created object."""
      return {
          "name": self.__class__.__name__,
          "objective_weights": self._objective_weights,
      }
  
file_path: SMAC3/smac/multi_objective/aggregation_strategy.py
imports: from __future__ import annotations
  from typing import Any
  import numpy
  from smac.multi_objective.abstract_multi_objective_algorithm import AbstractMultiObjectiveAlgorithm
  from smac.scenario import Scenario
label_desc: Use image node_id 2 for calling the MeanAggregationStrategy obj's underlying member method code with example usage: obj.meta() and returns: dict