code: def test_sklearnex_import_lasso():
      from sklearnex.linear_model import Lasso
  
      X = [[0, 0], [1, 1], [2, 2]]
      y = [0, 1, 2]
      lasso = Lasso(alpha=0.1).fit(X, y)
      assert "daal4py" in lasso.__module__
      assert_allclose(lasso.intercept_, 0.15)
      assert_allclose(lasso.coef_, [0.85, 0.0])
  
file_path: scikit-learn-intelex/sklearnex/linear_model/tests/test_linear.py
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose
  from sklearn.datasets import 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 3 for calling a global function with example usage: test_sklearnex_import_lasso() without return types