code: def test_get_warping_transform(self) -> None:
      warp_tf = get_warping_transform(d=4)
      self.assertIsInstance(warp_tf, Warp)
      self.assertEqual(warp_tf.indices.tolist(), list(range(4)))
      warp_tf = get_warping_transform(d=4, task_feature=2)
      self.assertEqual(warp_tf.indices.tolist(), [0, 1, 3])
      warp_tf = get_warping_transform(d=4, batch_shape=torch.Size([2]))
      self.assertIsInstance(warp_tf, Warp)
      self.assertEqual(warp_tf.indices.tolist(), list(range(4)))
      self.assertEqual(warp_tf.batch_shape, torch.Size([2]))
  
imports: from copy import deepcopy
  from unittest import mock
  from unittest.mock import Mock
  import torch
  from ax.models.torch.botorch_defaults import _get_acquisition_func, _get_customized_covar_module, _get_model, get_and_fit_model, get_warping_transform, NO_FEASIBLE_POINTS_MESSAGE
  from ax.utils.common.testutils import TestCase
  from ax.utils.common.typeutils import checked_cast, not_none
  from ax.utils.testing.mock import fast_botorch_optimize
  from botorch.acquisition.logei import qLogExpectedImprovement, qLogNoisyExpectedImprovement
  from botorch.acquisition.monte_carlo import qExpectedImprovement, qNoisyExpectedImprovement, qProbabilityOfImprovement, qSimpleRegret
  from botorch.acquisition.objective import ConstrainedMCObjective
  from botorch.acquisition.penalized import L1PenaltyObjective, PenalizedMCObjective
  from botorch.exceptions.errors import UnsupportedError
  from botorch.models.gp_regression import SingleTaskGP
  from botorch.models.gp_regression_fidelity import SingleTaskMultiFidelityGP
  from botorch.models.multitask import MultiTaskGP
  from botorch.models.transforms.input import Warp
  from botorch.utils.constraints import get_outcome_constraint_transforms
  from gpytorch.kernels import MaternKernel, ScaleKernel
  from gpytorch.likelihoods.gaussian_likelihood import FixedNoiseGaussianLikelihood, GaussianLikelihood
  from gpytorch.module import Module
  from gpytorch.priors import GammaPrior
  from gpytorch.priors.lkj_prior import LKJCovariancePrior
  from gpytorch.priors.prior import Prior
label_desc: Use image node_id 6 for calling the BotorchDefaultsTest obj's underlying member method code with example usage: obj.test_get_warping_transform() without return types