code: def patched_gp_minimize(
      func,
      dimensions,
      base_estimator=None,
      n_calls=100,
      n_random_starts=None,
      acq_func="gp_hedge",
      acq_optimizer="auto",
      x0=None,
      y0=None,
      random_state=None,
      verbose=False,
      callback=None,
      n_points=10000,
      n_restarts_optimizer=5,
      xi=0.01,
      kappa=1.96,
      noise="gaussian",
      n_jobs=1,
      model_queue_size=None,
  ):
      """Patched version of skopt.gp_minimize.
  
      If `base_estimator` is not specified, provides a default estimator
      for GP that is non-normalizing for values of y. This works around
      these issues:
  
       - https://github.com/guildai/guildai/issues/218
       - https://github.com/scikit-optimize/scikit-optimize/issues/947
       - https://github.com/scikit-learn/scikit-learn/pull/18388
       - https://github.com/scikit-learn/scikit-learn/issues/18318
  
      """
      if base_estimator is None:
          base_estimator = _patched_gp_base_estimator(
              dimensions, random_state, noise
          )
      with warnings.catch_warnings():
          warnings.filterwarnings("ignore", category=Warning)
          return skopt.gp_minimize(
              func,
              dimensions,
              base_estimator=base_estimator,
              n_calls=n_calls,
              n_random_starts=n_random_starts,
              acq_func=acq_func,
              acq_optimizer=acq_optimizer,
              x0=x0,
              y0=y0,
              random_state=random_state,
              verbose=verbose,
              callback=callback,
              n_points=n_points,
              n_restarts_optimizer=n_restarts_optimizer,
              xi=xi,
              kappa=kappa,
              noise=noise,
              n_jobs=n_jobs,
              model_queue_size=model_queue_size,
          )
  
imports: import logging
  import os
  import typing
  import warnings
  from guild import _skopt
  from guild import batch_util
  from guild import flag_util
  from guild import op_util
  from guild import query
label_desc: Use image node_id 35 for calling a global function with example usage: patched_gp_minimize(func, dimensions, base_estimator, n_calls, n_random_starts, acq_func, acq_optimizer, x0, y0, random_state, verbose, callback, n_points, n_restarts_optimizer, xi, kappa, noise, n_jobs, model_queue_size) and returns: skopt