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"""Tests for making sure experimental imports work as expected."""
import textwrap
from sklearn.utils._testing import assert_run_python_script
def test_imports_strategies():
# Make sure different import strategies work or fail as expected.
# Since Python caches the imported modules, we need to run a child process
# for every test case. Else, the tests would not be independent
# (manually removing the imports from the cache (sys.modules) is not
# recommended and can lead to many complications).
good_import = """
from sklearn.experimental import enable_halving_search_cv
from sklearn.model_selection import HalvingGridSearchCV
from sklearn.model_selection import HalvingRandomSearchCV
"""
assert_run_python_script(textwrap.dedent(good_import))
good_import_with_model_selection_first = """
import sklearn.model_selection
from sklearn.experimental import enable_halving_search_cv
from sklearn.model_selection import HalvingGridSearchCV
from sklearn.model_selection import HalvingRandomSearchCV
"""
assert_run_python_script(textwrap.dedent(good_import_with_model_selection_first))
bad_imports = """
import pytest
with pytest.raises(ImportError, match='HalvingGridSearchCV is experimental'):
from sklearn.model_selection import HalvingGridSearchCV
import sklearn.experimental
with pytest.raises(ImportError, match='HalvingRandomSearchCV is experimental'):
from sklearn.model_selection import HalvingRandomSearchCV
"""
assert_run_python_script(textwrap.dedent(bad_imports))
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