code: def _optimize_acqf(
      opt_inputs: OptimizeAcqfInputs,
  ) -> Tuple[Tensor, Tensor]:
      # Handle the trivial case when all features are fixed
      if (
          opt_inputs.fixed_features is not None
          and len(opt_inputs.fixed_features)
          == opt_inputs.bounds.shape[-1]
      ):
          return _optimize_acqf_all_features_fixed(
              bounds=opt_inputs.bounds,
              fixed_features=opt_inputs.fixed_features,
              q=opt_inputs.q,
              acq_function=opt_inputs.acq_function,
          )
  
      # Perform sequential optimization via successive conditioning on pending points
      if opt_inputs.sequential and opt_inputs.q > 1:
          return _optimize_acqf_sequential_q(opt_inputs=opt_inputs)
  
      # Batch optimization (including the case q=1)
      return _optimize_acqf_batch(opt_inputs=opt_inputs)
  
imports: from __future__ import annotations
  import dataclasses
  import warnings
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  from botorch.acquisition.acquisition import AcquisitionFunction, OneShotAcquisitionFunction
  from botorch.acquisition.knowledge_gradient import qKnowledgeGradient
  from botorch.acquisition.multi_objective.hypervolume_knowledge_gradient import qHypervolumeKnowledgeGradient
  from botorch.exceptions import InputDataError, UnsupportedError
  from botorch.exceptions.warnings import OptimizationWarning
  from botorch.generation.gen import gen_candidates_scipy, TGenCandidates
  from botorch.logging import logger
  from botorch.optim.initializers import gen_batch_initial_conditions, gen_one_shot_hvkg_initial_conditions, gen_one_shot_kg_initial_conditions, TGenInitialConditions
  from botorch.optim.stopping import ExpMAStoppingCriterion
  from botorch.optim.utils import _filter_kwargs
  from torch import Tensor
label_desc: Use image node_id 7 for calling a global function with example usage: _optimize_acqf(opt_inputs) and returns: _optimize_acqf_batch, _optimize_acqf_all_features_fixed, _optimize_acqf_sequential_q