code: def test_sklearnex_import_et_regression(dataframe, queue):
      from sklearnex.ensemble import ExtraTreesRegressor
  
      X, y = make_regression(
          n_features=1, random_state=0, shuffle=False
      )
      X = _convert_to_dataframe(
          X, sycl_queue=queue, target_df=dataframe
      )
      y = _convert_to_dataframe(
          y, sycl_queue=queue, target_df=dataframe
      )
      # For the 2023.2 release, random_state is not supported
      # defaults to seed=777, although it is set to 0
      rf = ExtraTreesRegressor(random_state=0).fit(X, y)
      assert "sklearnex" in rf.__module__
      pred = _as_numpy(
          rf.predict(
              [
                  [
                      0,
                  ]
              ]
          )
      )
      assert_allclose([0.445], pred, atol=1e-2)
  
file_path: scikit-learn-intelex/sklearnex/ensemble/tests/test_forest.py
imports: import pytest
  from numpy.testing import assert_allclose
  from sklearn.datasets import make_classification, make_regression
  from daal4py.sklearn._utils import daal_check_version
  from onedal.tests.utils._dataframes_support import _as_numpy, _convert_to_dataframe, get_dataframes_and_queues
label_desc: Use image node_id 4 for calling a global function with example usage: test_sklearnex_import_et_regression(dataframe, queue) without return types