code: def test_exploitation_disabled():
      ds = import_dataset()
      aml = H2OAutoML(
          project_name="py_exploitation_ratio_disabled",
          exploitation_ratio=0.0,
          max_runtime_secs=30,
          seed=1,
      )
      aml.train(y=ds.target, training_frame=ds.train)
      assert "start_GBM_lr_annealing" not in aml.training_info
      assert "start_XGBoost_lr_search" not in aml.training_info
  
imports: import sys, os
  from h2o.automl import H2OAutoML
  from tests import pyunit_utils
  from _automl_utils import import_dataset, get_partitioned_model_names
label_desc: Use image node_id 1 for calling a global function with example usage: test_exploitation_disabled() without return types