code: def get_qEI() -> None:
      """A TAcqfConstructor to instantiate a qEI acquisition function. The function body
      is filled in by the decorator function `get_acqf` to simultaneously reduce code
      duplication and allow serialization in Ax. TODO: Deprecate with legacy Ax model.
      """
  
imports: import functools
  from copy import deepcopy
  from random import randint
  from typing import Any, Callable, Dict, List, Optional, Protocol, Tuple, Type, Union
  import torch
  from ax.models.model_utils import best_observed_point, get_observed
  from ax.models.torch.utils import _to_inequality_constraints
  from ax.models.torch_base import TorchModel
  from ax.models.types import TConfig
  from botorch.acquisition import get_acquisition_function
  from botorch.acquisition.acquisition import AcquisitionFunction
  from botorch.acquisition.fixed_feature import FixedFeatureAcquisitionFunction
  from botorch.acquisition.objective import ConstrainedMCObjective, GenericMCObjective
  from botorch.acquisition.utils import get_infeasible_cost
  from botorch.exceptions.errors import UnsupportedError
  from botorch.fit import fit_gpytorch_mll
  from botorch.models.gp_regression import SingleTaskGP
  from botorch.models.gp_regression_fidelity import SingleTaskMultiFidelityGP
  from botorch.models.gpytorch import GPyTorchModel
  from botorch.models.model import Model
  from botorch.models.model_list_gp_regression import ModelListGP
  from botorch.models.multitask import MultiTaskGP
  from botorch.models.transforms.input import Warp
  from botorch.optim.optimize import optimize_acqf
  from botorch.utils import get_objective_weights_transform, get_outcome_constraint_transforms
  from botorch.utils.multi_objective.scalarization import get_chebyshev_scalarization
  from botorch.utils.transforms import is_ensemble
  from gpytorch.kernels import MaternKernel, ScaleKernel
  from gpytorch.kernels.kernel import Kernel
  from gpytorch.mlls.exact_marginal_log_likelihood import ExactMarginalLogLikelihood
  from gpytorch.mlls.leave_one_out_pseudo_likelihood import LeaveOneOutPseudoLikelihood
  from gpytorch.mlls.sum_marginal_log_likelihood import SumMarginalLogLikelihood
  from gpytorch.priors import Prior
  from gpytorch.priors.lkj_prior import LKJCovariancePrior
  from gpytorch.priors.torch_priors import GammaPrior, LogNormalPrior
  from torch import Tensor
label_desc: Use image node_id 4 for calling a global function with example usage: get_qEI() without return types