code: def test_bayesian_optimization_tuner_set_alpha_beta(tmp_path):
      tuner = bo_module.BayesianOptimization(
          build_model,
          alpha=1e-4,
          beta=2.6,
          objective="val_accuracy",
          max_trials=15,
          directory=tmp_path,
      )
      assert isinstance(
          tuner.oracle, bo_module.BayesianOptimizationOracle
      )
  
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 9 for calling a global function with example usage: test_bayesian_optimization_tuner_set_alpha_beta(tmp_path) without return types