code: def setUp(self):
      super().setUp()
      self.ref_point_raw = torch.zeros(3, device=self.device)
      self.Y_raw = torch.tensor(
          [
              [1.0, 2.0, 1.0],
              [1.0, 1.0, 1.0],
              [2.0, 0.5, 1.0],
          ],
          device=self.device,
      )
      self.pareto_Y_raw = torch.tensor(
          [
              [1.0, 2.0, 1.0],
              [2.0, 0.5, 1.0],
          ],
          device=self.device,
      )
  
imports: from __future__ import annotations
  from itertools import product
  from unittest import mock
  import torch
  from botorch.exceptions.errors import BotorchError
  from botorch.utils.multi_objective.box_decompositions.box_decomposition import BoxDecomposition, FastPartitioning
  from botorch.utils.multi_objective.box_decompositions.dominated import DominatedPartitioning
  from botorch.utils.multi_objective.box_decompositions.non_dominated import FastNondominatedPartitioning, NondominatedPartitioning
  from botorch.utils.multi_objective.box_decompositions.utils import update_local_upper_bounds_incremental
  from botorch.utils.testing import BotorchTestCase
label_desc: Use image node_id 1 for calling the TestBoxDecomposition obj's underlying member method code with example usage: obj.setUp() without return types