8000 MNT Mark test_openml as XFAIL for PyPy (#18907) · franslarsson/scikit-learn@8caff3c · GitHub
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MNT Mark test_openml as XFAIL for PyPy (scikit-learn#18907)
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‎sklearn/datasets/tests/test_openml.py

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@@ -28,6 +28,7 @@
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from sklearn.datasets.tests.test_common import check_return_X_y
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from sklearn.externals._arff import ArffContainerType
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from functools import partial
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from sklearn.utils._testing import fails_if_pypy
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currdir = os.path.dirname(os.path.abspath(__file__))
@@ -296,6 +297,9 @@ def test_feature_to_dtype_error(feature):
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_feature_to_dtype(feature)
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_iris_pandas(monkeypatch):
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# classification dataset with numeric only columns
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pd = pytest.importorskip('pandas')
@@ -337,6 +341,9 @@ def test_fetch_openml_iris_pandas(monkeypatch):
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assert frame.index.is_unique
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_iris_pandas_equal_to_no_frame(monkeypatch):
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# as_frame = True returns the same underlying data as as_frame = False
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pytest.importorskip('pandas')
@@ -356,6 +363,9 @@ def test_fetch_openml_iris_pandas_equal_to_no_frame(monkeypatch):
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assert_array_equal(norm_target, frame_target)
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_iris_multitarget_pandas(monkeypatch):
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# classification dataset with numeric only columns
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pd = pytest.importorskip('pandas')
@@ -398,6 +408,9 @@ def test_fetch_openml_iris_multitarget_pandas(monkeypatch):
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assert np.all(frame.dtypes == [np.float64] * 4 + [cat_dtype])
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_anneal_pandas(monkeypatch):
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# classification dataset with numeric and categorical columns
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pd = pytest.importorskip('pandas')
@@ -435,6 +448,9 @@ def test_fetch_openml_anneal_pandas(monkeypatch):
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assert frame.shape == frame_shape
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_cpu_pandas(monkeypatch):
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# regression dataset with numeric and categorical columns
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pd = pytest.importorskip('pandas')
@@ -489,6 +505,9 @@ def test_fetch_openml_australian_pandas_error_sparse(monkeypatch):
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fetch_openml(data_id=data_id, as_frame=True, cache=False)
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_as_frame_auto(monkeypatch):
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pd = pytest.importorskip('pandas')
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@@ -503,6 +522,9 @@ def test_fetch_openml_as_frame_auto(monkeypatch):
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assert isinstance(data.data, scipy.sparse.csr_matrix)
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_convert_arff_data_dataframe_warning_low_memory_pandas(monkeypatch):
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pytest.importorskip('pandas')
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@@ -515,6 +537,9 @@ def test_convert_arff_data_dataframe_warning_low_memory_pandas(monkeypatch):
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fetch_openml(data_id=data_id, as_frame=True, cache=False)
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_adultcensus_pandas_return_X_y(monkeypatch):
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pd = pytest.importorskip('pandas')
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CategoricalDtype = pd.api.types.CategoricalDtype
@@ -543,6 +568,9 @@ def test_fetch_openml_adultcensus_pandas_return_X_y(monkeypatch):
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assert y.name == target_column
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_adultcensus_pandas(monkeypatch):
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pd = pytest.importorskip('pandas')
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CategoricalDtype = pd.api.types.CategoricalDtype
@@ -579,6 +607,9 @@ def test_fetch_openml_adultcensus_pandas(monkeypatch):
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assert frame.shape == frame_shape
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_miceprotein_pandas(monkeypatch):
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# JvR: very important check, as this dataset defined several row ids
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# and ignore attributes. Note that data_features json has 82 attributes,
@@ -619,6 +650,9 @@ def test_fetch_openml_miceprotein_pandas(monkeypatch):
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assert frame_n_floats == n_floats
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_emotions_pandas(monkeypatch):
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# classification dataset with multiple targets (natively)
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pd = pytest.importorskip('pandas')
@@ -657,6 +691,9 @@ def test_fetch_openml_emotions_pandas(monkeypatch):
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assert expected_frame_floats == n_floats
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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def test_fetch_openml_titanic_pandas(monkeypatch):
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# dataset with strings
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pd = pytest.importorskip('pandas')
@@ -1208,6 +1245,9 @@ def test_fetch_openml_with_ignored_feature(monkeypatch, gzip_response):
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assert 'animal' not in dataset['feature_names']
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# Known failure of PyPy for OpenML. See the following issue:
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# https://github.com/scikit-learn/scikit-learn/issues/18906
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@fails_if_pypy
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@pytest.mark.parametrize('as_frame', [True, False])
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def test_fetch_openml_verify_checksum(monkeypatch, as_frame, cache, tmpdir):
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if as_frame:

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