code: def dummy_func(X: torch.Tensor) -> torch.Tensor:
      return X
  
imports: import dataclasses
  from contextlib import ExitStack
  from typing import Any, Dict
  from unittest import mock
  import ax.models.torch.botorch_moo_defaults
  import botorch.utils.multi_objective.hypervolume
  import numpy
  import torch
  from ax.core.search_space import SearchSpaceDigest
  from ax.exceptions.core import AxError
  from ax.models.torch.botorch_defaults import get_qLogNEI
  from ax.models.torch.botorch_moo import MultiObjectiveBotorchModel
  from ax.models.torch.botorch_moo_defaults import get_EHVI, get_NEHVI, get_qLogEHVI, get_qLogNEHVI, infer_objective_thresholds
  from ax.models.torch.utils import HYPERSPHERE
  from ax.models.torch_base import TorchOptConfig
  from ax.utils.common.testutils import TestCase
  from ax.utils.testing.mock import fast_botorch_optimize
  from botorch.acquisition.multi_objective import logei, monte_carlo
  from botorch.models import ModelListGP
  from botorch.models.transforms.input import Warp
  from botorch.optim.optimize import optimize_acqf_list
  from botorch.sampling.normal import IIDNormalSampler
  from botorch.utils.datasets import SupervisedDataset
  from botorch.utils.multi_objective.hypervolume import infer_reference_point
  from botorch.utils.multi_objective.scalarization import get_chebyshev_scalarization
  from botorch.utils.testing import MockModel, MockPosterior
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_func(X) and returns: X