code: def test_skip_failed_trials(tmp_path):
      class MyTuner(bo_module.BayesianOptimization):
          def run_trial(self, trial, *args, **kwargs):
              hp = trial.hyperparameters
              hp.Boolean("boolean")
              hp.Boolean("boolean2")
              hp.Boolean("boolean3")
              hp.Boolean("boolean4")
              if len(self.oracle.start_order) == 1:
                  raise keras_tuner.errors.FailedTrialError()
              return [np.random.rand()]
  
      tuner = MyTuner(
          alpha=1e-4,
          beta=2.6,
          max_trials=15,
          directory=tmp_path,
      )
      tuner.search()
      assert any(
          map(
              lambda x: x.status == "FAILED",
              tuner.oracle.trials.values(),
          )
      )
  
imports: import math
  import numpy
  import pytest
  import keras_tuner
  from keras_tuner.backend import keras
  from keras_tuner.engine import hyperparameters
  from keras_tuner.engine import trial
  from keras_tuner.tuners import bayesian
label_desc: Use image node_id 18 for calling a global function with example usage: test_skip_failed_trials(tmp_path) and returns: list