class_docstr: Tune driver
code: def _get_sorted_trials(trial_list, metric, mode):
      return sorted(
          trial_list,
          key=lambda trial: trial.last_result.get(metric, 0),
          reverse=True if mode == "max" else False,
      )
  
imports: import ray
  from ray import tune
  import os
  from bigdl.orca.automl.search.base import SearchEngine, TrialOutput, GoodError
  from bigdl.orca.automl.search.parameters import DEFAULT_LOGGER_NAME, DEFAULT_METRIC_NAME
  from bigdl.orca.automl.search.ray_tune.utils import convert_bayes_configs
  from bigdl.orca.automl.search.utils import get_ckpt_hdfs, put_ckpt_hdfs
  from ray.tune import Stopper
  from bigdl.orca.automl.model.abstract import ModelBuilder
  from bigdl.orca.data import ray_xshards
  from ray.tune.progress_reporter import TrialProgressCallback
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 11 for calling the RayTuneSearchEngine obj's underlying member method code with example usage: obj._get_sorted_trials(trial_list, metric, mode) and returns: sorted