code: def skip_fit_gpytorch_mll(f: Callable) -> Callable:
      """Wraps f in the skip_fit_gpytorch_mll_context_manager for use as a decorator."""
  
      @wraps(f)
      # pyre-fixme[3]: Return type must be annotated.
      def inner(*args: Any, **kwargs: Any):
          with skip_fit_gpytorch_mll_context_manager():
              return f(*args, **kwargs)
  
      return inner
  
file_path: Ax/ax/utils/testing/mock.py
imports: from contextlib import contextmanager, ExitStack
  from functools import wraps
  from typing import Any, Callable, Dict, Generator, Optional
  from unittest import mock
  from ax.models.torch.fully_bayesian import run_inference
  from botorch.fit import fit_fully_bayesian_model_nuts
  from botorch.generation.gen import minimize_with_timeout
  from botorch.optim.initializers import gen_batch_initial_conditions, gen_one_shot_kg_initial_conditions
  from scipy.optimize import OptimizeResult
  from torch import Tensor
label_desc: Use image node_id 4 for calling a global function with example usage: skip_fit_gpytorch_mll(f) and returns: inner, f