code: def dummy_func(X: torch.Tensor) -> torch.Tensor:
      return X
  
imports: import dataclasses
  from itertools import chain, product
  from typing import Any, cast, Dict
  from unittest import mock
  import numpy
  import torch
  from ax.core.search_space import SearchSpaceDigest
  from ax.exceptions.core import DataRequiredError
  from ax.models.torch.botorch import BotorchModel, get_feature_importances_from_botorch_model, get_rounding_func
  from ax.models.torch.botorch_defaults import get_and_fit_model, get_chebyshev_scalarization, recommend_best_out_of_sample_point
  from ax.models.torch.utils import sample_simplex
  from ax.models.torch_base import TorchOptConfig
  from ax.utils.common.testutils import TestCase
  from ax.utils.testing.mock import fast_botorch_optimize
  from ax.utils.testing.torch_stubs import get_torch_test_data
  from botorch.acquisition.utils import get_infeasible_cost
  from botorch.models import ModelListGP, SingleTaskGP
  from botorch.models.transforms.input import Warp
  from botorch.utils.datasets import SupervisedDataset
  from botorch.utils.objective import get_objective_weights_transform
  from gpytorch.likelihoods import _GaussianLikelihoodBase
  from gpytorch.likelihoods.gaussian_likelihood import FixedNoiseGaussianLikelihood
  from gpytorch.mlls import ExactMarginalLogLikelihood, LeaveOneOutPseudoLikelihood
  from gpytorch.priors import GammaPrior
  from gpytorch.priors.lkj_prior import LKJCovariancePrior
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_func(X) and returns: X