code: def test_rf_regressor_gtil_integration(tmpdir):
      X, y = fetch_california_housing(return_X_y=True)
      X, y = X.astype(np.float32), y.astype(np.float32)
      clf = curfr(max_depth=3, random_state=0, n_estimators=10)
      clf.fit(X, y)
      expected_pred = clf.predict(X)
  
      checkpoint_path = os.path.join(tmpdir, "checkpoint.tl")
      clf.convert_to_treelite_model().to_treelite_checkpoint(
          checkpoint_path
      )
  
      tl_model = treelite.Model.deserialize(checkpoint_path)
      out_pred = treelite.gtil.predict(tl_model, X)
      np.testing.assert_almost_equal(out_pred, expected_pred, decimal=5)
  
imports: import treelite
  from sklearn.model_selection import train_test_split
  from sklearn.datasets import fetch_california_housing, make_classification, make_regression, load_iris, load_breast_cancer
  from sklearn.metrics import accuracy_score, mean_squared_error, mean_tweedie_deviance
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.ensemble import RandomForestClassifier
  import cuml.internals.logger
  from cuml.testing.utils import get_handle, unit_param, quality_param, stress_param
  from cuml.metrics import r2_score
  from cuml.ensemble import RandomForestRegressor
  from cuml.ensemble import RandomForestClassifier
  import cuml
  from cuml.internals.safe_imports import gpu_only_import_from
  import os
  import json
  import random
  from cuml.internals.safe_imports import cpu_only_import
  import pytest
  import warnings
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 29 for calling a global function with example usage: test_rf_regressor_gtil_integration(tmpdir) without return types