code: def forward(self, samples: Tensor) -> Tensor:
      return samples
  
imports: import warnings
  from itertools import product
  from unittest import mock
  import torch
  from botorch.acquisition.multi_objective.objective import MCMultiOutputObjective, UnstandardizeMCMultiOutputObjective
  from botorch.acquisition.multi_objective.utils import compute_sample_box_decomposition, get_default_partitioning_alpha, prune_inferior_points_multi_objective, random_search_optimizer, sample_optimal_points
  from botorch.exceptions.errors import UnsupportedError
  from botorch.models.gp_regression import SingleTaskGP
  from botorch.models.model_list_gp_regression import ModelListGP
  from botorch.models.transforms.outcome import Standardize
  from botorch.utils.gp_sampling import get_gp_samples
  from botorch.utils.multi_objective import is_non_dominated
  from botorch.utils.testing import BotorchTestCase, MockModel, MockPosterior
  from torch import Tensor
label_desc: Use image node_id 1 for calling the DummyMCMultiOutputObjective obj's underlying member method code with example usage: obj.forward(samples) and returns: samples