some new features

.venv/lib/python3.12/site-packages/sklearn/experimental/tests/test_enable_hist_gradient_boosting.py

@@ -0,0 +1,19 @@
+"""Tests for making sure experimental imports work as expected."""
+
+import textwrap
+
+import pytest
+
+from sklearn.utils._testing import assert_run_python_script_without_output
+from sklearn.utils.fixes import _IS_WASM
+
+
+@pytest.mark.xfail(_IS_WASM, reason="cannot start subprocess")
+def test_import_raises_warning():
+    code = """
+    import pytest
+    with pytest.warns(UserWarning, match="it is not needed to import"):
+        from sklearn.experimental import enable_hist_gradient_boosting  # noqa
+    """
+    pattern = "it is not needed to import enable_hist_gradient_boosting anymore"
+    assert_run_python_script_without_output(textwrap.dedent(code), pattern=pattern)

.venv/lib/python3.12/site-packages/sklearn/experimental/tests/test_enable_iterative_imputer.py

@@ -0,0 +1,51 @@
+"""Tests for making sure experimental imports work as expected."""
+
+import textwrap
+
+import pytest
+
+from sklearn.utils._testing import assert_run_python_script_without_output
+from sklearn.utils.fixes import _IS_WASM
+
+
+@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 = "IterativeImputer is experimental"
+    good_import = """
+    from sklearn.experimental import enable_iterative_imputer
+    from sklearn.impute import IterativeImputer
+    """
+    assert_run_python_script_without_output(
+        textwrap.dedent(good_import), pattern=pattern
+    )
+
+    good_import_with_ensemble_first = """
+    import sklearn.ensemble
+    from sklearn.experimental import enable_iterative_imputer
+    from sklearn.impute import IterativeImputer
+    """
+    assert_run_python_script_without_output(
+        textwrap.dedent(good_import_with_ensemble_first),
+        pattern=pattern,
+    )
+
+    bad_imports = f"""
+    import pytest
+
+    with pytest.raises(ImportError, match={pattern!r}):
+        from sklearn.impute import IterativeImputer
+
+    import sklearn.experimental
+    with pytest.raises(ImportError, match={pattern!r}):
+        from sklearn.impute import IterativeImputer
+    """
+    assert_run_python_script_without_output(
+        textwrap.dedent(bad_imports),
+        pattern=pattern,
+    )

.venv/lib/python3.12/site-packages/sklearn/experimental/tests/test_enable_successive_halving.py

@@ -0,0 +1,53 @@
+"""Tests for making sure experimental imports work as expected."""
+
+import textwrap
+
+import pytest
+
+from sklearn.utils._testing import assert_run_python_script_without_output
+from sklearn.utils.fixes import _IS_WASM
+
+
+@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,
+    )