first commit

dashboard/flask-server/venv/Lib/site-packages/sklearn/experimental/tests/test_enable_hist_gradient_boosting.py

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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_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
+    """
+    assert_run_python_script(textwrap.dedent(code))

dashboard/flask-server/venv/Lib/site-packages/sklearn/experimental/tests/test_enable_iterative_imputer.py

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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_iterative_imputer
+    from sklearn.impute import IterativeImputer
+    """
+    assert_run_python_script(textwrap.dedent(good_import))
+
+    good_import_with_ensemble_first = """
+    import sklearn.ensemble
+    from sklearn.experimental import enable_iterative_imputer
+    from sklearn.impute import IterativeImputer
+    """
+    assert_run_python_script(textwrap.dedent(good_import_with_ensemble_first))
+
+    bad_imports = """
+    import pytest
+
+    with pytest.raises(ImportError, match='IterativeImputer is experimental'):
+        from sklearn.impute import IterativeImputer
+
+    import sklearn.experimental
+    with pytest.raises(ImportError, match='IterativeImputer is experimental'):
+        from sklearn.impute import IterativeImputer
+    """
+    assert_run_python_script(textwrap.dedent(bad_imports))

dashboard/flask-server/venv/Lib/site-packages/sklearn/experimental/tests/test_enable_successive_halving.py

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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))