code: def test_bayesian_oracle(tmp_path):
      hps = hp_module.HyperParameters()
      hps.Choice("a", [1, 2], default=1)
      hps.Int("b", 3, 10, default=3)
      hps.Float("c", 0, 1, 0.1, default=0)
      hps.Fixed("d", 7)
      hps.Choice("e", [9, 0], default=9)
      oracle = bo_module.BayesianOptimizationOracle(
          objective=keras_tuner.Objective("score", "max"),
          max_trials=20,
          num_initial_points=2,
          hyperparameters=hps,
      )
      oracle._set_project_dir(tmp_path, "untitled")
      for i in range(5):
          trial = oracle.create_trial(str(i))
          oracle.update_trial(trial.trial_id, {"score": i})
          trial.status = "COMPLETED"
          oracle.end_trial(trial)
  
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 4 for calling a global function with example usage: test_bayesian_oracle(tmp_path) without return types