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Splitting #13036: On arm64 and armel platforms (ARM, 32 and 64 bit, little endian) and on alpha, I get the following failure in version 0.20.1 and 0.20.2:
monkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0xffff8ac04790>
def test_decode_anneal(monkeypatch):
data_id = 2
_monkey_patch_webbased_functions(monkeypatch, data_id, False)
> _test_features_list(data_id)
sklearn/datasets/tests/test_openml.py:336:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
data_id = 2
def _test_features_list(data_id):
[...]
for i in range(len(data_bunch.feature_names)):
# XXX: Test per column, as this makes it easier to avoid problems with
# missing values
np.testing.assert_array_equal(data_downloaded[:, i],
> decode_column(data_bunch, i))
E AssertionError:
E Arrays are not equal
E
E (mismatch 100.0%)
E x: array([None, None, None, None, None, None, None, None, None, None, None],
E dtype=object)
E y: array(['GB', 'GB', 'GB', 'GB', 'GB', 'GB', 'GB', 'GB', 'GB', 'GB', 'GB'],
E dtype=object)
sklearn/datasets/tests/test_openml.py:65: AssertionError
The text was updated successfully, but these errors were encountered:
Splitting #13036: On arm64 and armel platforms (ARM, 32 and 64 bit, little endian) and on alpha, I get the following failure in version 0.20.1 and 0.20.2:
The text was updated successfully, but these errors were encountered: