1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
|
"""Tests for making sure experimental imports work as expected."""
import textwrap
import pytest
from sklearn.utils import _IS_WASM
from sklearn.utils._testing import assert_run_python_script_without_output
@pytest.mark.xfail(_IS_WASM, reason="cannot start subprocess")
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).
pattern = "Halving(Grid|Random)SearchCV is experimental"
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_without_output(
textwrap.dedent(good_import), pattern=pattern
)
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_without_output(
textwrap.dedent(good_import_with_model_selection_first),
pattern=pattern,
)
bad_imports = f"""
import pytest
with pytest.raises(ImportError, match={pattern!r}):
from sklearn.model_selection import HalvingGridSearchCV
import sklearn.experimental
with pytest.raises(ImportError, match={pattern!r}):
from sklearn.model_selection import HalvingRandomSearchCV
"""
assert_run_python_script_without_output(
textwrap.dedent(bad_imports),
pattern=pattern,
)
|
