code: def irf_tree_Test():
      cat_frame = h2o.create_frame(
          cols=10, categorical_fraction=1, seed=42
      )
      # check all columns are categorical
      assert set(cat_frame.types.values()) == set(["enum"])
  
      iso_model = H2OIsolationForestEstimator(seed=42)
      iso_model.train(training_frame=cat_frame)
  
      tree = H2OTree(iso_model, 5)
      check_tree(tree, 5, None)
      print(tree)
  
imports: import h2o
  from h2o.tree import H2OTree
  from h2o.estimators import H2OIsolationForestEstimator
  from tests import pyunit_utils
label_desc: Use image node_id 2 for calling a global function with example usage: irf_tree_Test() without return types