code: def minimize(*args, **kwargs):
      """Deprecated, use `botorch.generation.gen.minimize_with_timeout`."""
      # TODO: Reap this after the next stable Ax release.
      warnings.warn(
          "`botorch.generation.gen.minimize` is an alias for "
          "`botorch.generation.gen.minimize_with_timeout` and will "
          "be removed in a future release.",
          DeprecationWarning,
      )
      return minimize_with_timeout(*args, **kwargs)
  
imports: from __future__ import annotations
  import time
  import warnings
  from functools import partial
  from typing import Any, Callable, Dict, List, NoReturn, Optional, Tuple, Type, Union
  import numpy
  import torch
  from botorch.acquisition import AcquisitionFunction
  from botorch.exceptions.warnings import OptimizationWarning
  from botorch.generation.utils import _convert_nonlinear_inequality_constraints, _remove_fixed_features_from_optimization
  from botorch.logging import _get_logger
  from botorch.optim.parameter_constraints import _arrayify, make_scipy_bounds, make_scipy_linear_constraints, make_scipy_nonlinear_inequality_constraints, nonlinear_constraint_is_feasible
  from botorch.optim.stopping import ExpMAStoppingCriterion
  from botorch.optim.utils import columnwise_clamp, fix_features
  from botorch.optim.utils.timeout import minimize_with_timeout
  from scipy.optimize import OptimizeResult
  from torch import Tensor
  from torch.optim import Optimizer
label_desc: Use image node_id 5 for calling a global function with example usage: minimize() and returns: minimize_with_timeout