class_docstr: An abstract class for box decompositions.
  
  Note: Internally, we store the negative reference point (minimization).
  
  :meta private:
docstr: Update the non-dominated front.
  
  Returns:
      A boolean indicating whether the Pareto frontier has changed.
code: def _reset_pareto_Y(self) -> bool:
      r"""Update the non-dominated front.
  
      Returns:
          A boolean indicating whether the Pareto frontier has changed.
      """
      pareto_Y = self._compute_pareto_Y()
  
      if (self._neg_pareto_Y is None) or not torch.equal(
          pareto_Y, self._neg_pareto_Y
      ):
          self._neg_pareto_Y = pareto_Y
          return True
      return False
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Optional
  import torch
  from botorch.exceptions.errors import BotorchError
  from botorch.utils.multi_objective.box_decompositions.utils import _expand_ref_point, _pad_batch_pareto_frontier, update_local_upper_bounds_incremental
  from botorch.utils.multi_objective.pareto import is_non_dominated
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 6 for calling the BoxDecomposition obj's underlying member method code with example usage: obj._reset_pareto_Y() and returns: False, True