code: def test_bayesian_dynamic_space(tmp_path):
      hps = hp_module.HyperParameters()
      hps.Choice("a", [1, 2], default=1)
      oracle = bo_module.BayesianOptimizationOracle(
          objective="val_acc", max_trials=20, num_initial_points=10
      )
      oracle._set_project_dir(tmp_path, "untitled")
      oracle.hyperparameters = hps
      for i in range(10):
          oracle.populate_space(str(i))
      hps.Int("b", 3, 10, default=3)
      assert "b" in oracle.populate_space("1_0")["values"]
      hps.Float("c", 0, 1, 0.1, default=0)
      assert "c" in oracle.populate_space("1_1")["values"]
      hps.Fixed("d", 7)
      assert "d" in oracle.populate_space("1_2")["values"]
      hps.Choice("e", [9, 0], default=9)
      assert "e" in oracle.populate_space("1_3")["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 6 for calling a global function with example usage: test_bayesian_dynamic_space(tmp_path) without return types