code: def test_distributed_optimization(tmp_path):
      hps = hp_module.HyperParameters()
      hps.Int("a", 0, 10)
      hps.Float("b", -1, 1, step=0.1)
      hps.Float("c", 1e-5, 1e-2, sampling="log")
  
      def evaluate(hp):
          # Minimum at a=4, b=1, c=1e-3 with score=-1
          return (
              abs(hp["a"] - 4)
              - hp["b"]
              + 0.1 * abs(3 + math.log(hp["c"], 10))
          )
  
      oracle = bo_module.BayesianOptimizationOracle(
          objective=keras_tuner.Objective("score", "min"),
          hyperparameters=hps,
          max_trials=60,
      )
      oracle._set_project_dir(tmp_path, "untitled")
  
      tuners = 4
  
      for _ in range(10):
          trials = []
          for i in range(tuners):
              trial = oracle.create_trial(f"tuner_{str(i)}")
              trials.append(trial)
          for trial in trials:
              oracle.update_trial(
                  trial.trial_id,
                  {"score": evaluate(trial.hyperparameters)},
              )
          for trial in trials:
              trial.status = "COMPLETED"
              oracle.end_trial(trial)
  
      atol, rtol = 1e-1, 1e-1
      best_trial = oracle.get_best_trials()[0]
      best_hps = best_trial.hyperparameters
  
      # The minimum is not always found but it is always close.
      assert best_trial.score < -0.8, best_hps.values
      assert np.isclose(best_hps["a"], 4, atol=atol, rtol=rtol)
      assert np.isclose(best_hps["b"], 1, atol=atol, rtol=rtol)
  
      # For log-scale param, just check that the order of magnitude is correct.
      log_best_c = math.log(best_hps["c"], 10)
      assert log_best_c > -4 and log_best_c < -2
  
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 15 for calling a global function with example usage: test_distributed_optimization(tmp_path) and returns: unknown