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datapythonista opened this issue May 31, 2021 · 2 comments
Open

TST: Tests broken in ARM #41740

datapythonista opened this issue May 31, 2021 · 2 comments
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ARM aarch64 architecture Testing pandas testing functions or related to the test suite

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@datapythonista
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Working on adding ARM back to the CI in #41739 I found that pandas tests are curently failing for this architecture:

=================================== FAILURES ===================================
_________________ TestFloatSubtype.test_subtype_integer_errors _________________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

self = <pandas.tests.indexes.interval.test_astype.TestFloatSubtype object at 0xffff2da3fdd0>

    def test_subtype_integer_errors(self):
        # float64 -> uint64 fails with negative values
        index = interval_range(-10.0, 10.0)
        dtype = IntervalDtype("uint64", "right")
        msg = re.escape(
            "Cannot convert interval[float64, right] to interval[uint64, right]; "
            "subtypes are incompatible"
        )
        with pytest.raises(TypeError, match=msg):
>           index.astype(dtype)
E           Failed: DID NOT RAISE <class 'TypeError'>

pandas/tests/indexes/interval/test_astype.py:180: Failed
_________ test_downcast_nullable_numeric[data12-UInt64-signed-UInt64] __________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python
[XPASS(strict)] GH38798
_______________ test_rolling_var_numerical_issues[var-1-values0] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 1, values = [5e+33, 0, 0.5, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.0, 0.5, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-1-values1] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 1
values = [7.071068e+16, 0, 0.7071068, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.0, 0.7071068, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[var-2-values2] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 2, values = [5e+33, 0.5, 0, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.5, 0.0, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-2-values3] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 2
values = [7.071068e+16, 0.7071068, 0, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.7071068, 0.0, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
=================================== FAILURES ===================================
_________________ TestFloatSubtype.test_subtype_integer_errors _________________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

self = <pandas.tests.indexes.interval.test_astype.TestFloatSubtype object at 0xffff2da3fdd0>

    def test_subtype_integer_errors(self):
        # float64 -> uint64 fails with negative values
        index = interval_range(-10.0, 10.0)
        dtype = IntervalDtype("uint64", "right")
        msg = re.escape(
            "Cannot convert interval[float64, right] to interval[uint64, right]; "
            "subtypes are incompatible"
        )
        with pytest.raises(TypeError, match=msg):
>           index.astype(dtype)
E           Failed: DID NOT RAISE <class 'TypeError'>

pandas/tests/indexes/interval/test_astype.py:180: Failed
_________ test_downcast_nullable_numeric[data12-UInt64-signed-UInt64] __________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python
[XPASS(strict)] GH38798
_______________ test_rolling_var_numerical_issues[var-1-values0] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 1, values = [5e+33, 0, 0.5, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.0, 0.5, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-1-values1] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 1
values = [7.071068e+16, 0, 0.7071068, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.0, 0.7071068, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[var-2-values2] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 2, values = [5e+33, 0.5, 0, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.5, 0.0, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-2-values3] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 2
values = [7.071068e+16, 0.7071068, 0, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.7071068, 0.0, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError=================================== FAILURES ===================================
_________________ TestFloatSubtype.test_subtype_integer_errors _________________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

self = <pandas.tests.indexes.interval.test_astype.TestFloatSubtype object at 0xffff2da3fdd0>

    def test_subtype_integer_errors(self):
        # float64 -> uint64 fails with negative values
        index = interval_range(-10.0, 10.0)
        dtype = IntervalDtype("uint64", "right")
        msg = re.escape(
            "Cannot convert interval[float64, right] to interval[uint64, right]; "
            "subtypes are incompatible"
        )
        with pytest.raises(TypeError, match=msg):
>           index.astype(dtype)
E           Failed: DID NOT RAISE <class 'TypeError'>

pandas/tests/indexes/interval/test_astype.py:180: Failed
_________ test_downcast_nullable_numeric[data12-UInt64-signed-UInt64] __________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python
[XPASS(strict)] GH38798
_______________ test_rolling_var_numerical_issues[var-1-values0] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 1, values = [5e+33, 0, 0.5, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.0, 0.5, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-1-values1] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 1
values = [7.071068e+16, 0, 0.7071068, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.0, 0.7071068, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[var-2-values2] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 2, values = [5e+33, 0.5, 0, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.5, 0.0, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-2-values3] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 2
values = [7.071068e+16, 0.7071068, 0, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.7071068, 0.0, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError=================================== FAILURES ===================================
_________________ TestFloatSubtype.test_subtype_integer_errors _________________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

self = <pandas.tests.indexes.interval.test_astype.TestFloatSubtype object at 0xffff2da3fdd0>

    def test_subtype_integer_errors(self):
        # float64 -> uint64 fails with negative values
        index = interval_range(-10.0, 10.0)
        dtype = IntervalDtype("uint64", "right")
        msg = re.escape(
            "Cannot convert interval[float64, right] to interval[uint64, right]; "
            "subtypes are incompatible"
        )
        with pytest.raises(TypeError, match=msg):
>           index.astype(dtype)
E           Failed: DID NOT RAISE <class 'TypeError'>

pandas/tests/indexes/interval/test_astype.py:180: Failed
_________ test_downcast_nullable_numeric[data12-UInt64-signed-UInt64] __________
[gw0] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python
[XPASS(strict)] GH38798
_______________ test_rolling_var_numerical_issues[var-1-values0] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 1, values = [5e+33, 0, 0.5, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.0, 0.5, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-1-values1] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 1
values = [7.071068e+16, 0, 0.7071068, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.0, 0.7071068, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[var-2-values2] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'var', third_value = 2, values = [5e+33, 0.5, 0, 0.5, 2, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (71.42857 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17]
E   [right]: [nan, 5e+33, 0.5, 0.0, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
_______________ test_rolling_var_numerical_issues[std-2-values3] _______________
[gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python

func = 'std', third_value = 2
values = [7.071068e+16, 0.7071068, 0, 0.7071068, 1.414214, 0]

    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

pandas/tests/window/test_rolling.py:1089: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:53: in pandas._libs.testing.assert_almost_equal
    cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.7071068, 0.0, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:168: AssertionError
@datapythonista datapythonista added Testing pandas testing functions or related to the test suite ARM aarch64 architecture labels May 31, 2021
@datapythonista datapythonista mentioned this issue May 31, 2021
Merged
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@jreback
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jreback commented May 31, 2021

ok you can just xfail these for now (ref this issue) and then can fix later

@simonjayhawkins
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and there's also the failing tests in https://travis-ci.com/github/MacPython/pandas-wheels/jobs/506980866

Quick glance these look like different tests failing.

Ideally we should have the same ci setup on both pandas and pandas-wheels so there are no surprises.

@phofl phofl mentioned this issue Jun 2, 2021
Closed
2 tasks
@alimcmaster1 alimcmaster1 mentioned this issue Oct 22, 2021
Closed
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Dec 24, 2021
Fix arch-specific upstream xfails
cb1cf36 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Jan 16, 2022
@rebecca-palmer
Fix arch-specific upstream xfails
7c0ed15 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 6, 2022
@rebecca-palmer
Fix arch-specific upstream xfails
5e77c2b 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Mar 12, 2022
@rebecca-palmer
Fix arch-specific upstream xfails
c83bfab 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Apr 18, 2022
@rebecca-palmer
Fix arch-specific upstream xfails
e2f7f7e 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Jul 14, 2022
@rebecca-palmer
Fix arch-specific upstream xfails
cba1e84 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Nov 20, 2022
@ginggs
Fix arch-specific upstream xfails
c0d53fd 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Jan 26, 2023
@rebecca-palmer
Fix arch-specific upstream xfails
5e694ea 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Jan 26, 2023
@rebecca-palmer
Fix arch-specific upstream xfails
4fa70db 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 2, 2023
@raspbian-autopush
Fix arch-specific upstream xfails
19f31f4 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Mar 1, 2023
@rebecca-palmer
Fix arch-specific upstream xfails
bec5390 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Dec 19, 2023
@rebecca-palmer
Fix arch-specific upstream xfails
e4098a0 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Dec 19, 2023
@rebecca-palmer
Fix arch-specific upstream xfails
6509df6 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 6, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
ff4b853 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 15, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
37cf964 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 22, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
902cbb3 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue May 25, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
0a32653 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Jun 11, 2024
@raspbian-autopush
Fix arch-specific upstream xfails
8711e6b 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Jul 23, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
1f36f08 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Sep 26, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
6a3c4cd 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Oct 17, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
bf737da 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Nov 6, 2024
@rebecca-palmer
Fix arch-specific upstream xfails
37896ac 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 5, 2025
@rebecca-palmer
Fix arch-specific upstream xfails
f822496 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 7, 2025
@raspbian-autopush
Fix arch-specific upstream xfails
728ef34 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Feb 13, 2025
@rebecca-palmer
Fix arch-specific upstream xfails
c411745 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
raspbian-autopush pushed a commit to raspbian-packages/pandas that referenced this issue Apr 8, 2025
@rebecca-palmer
Fix arch-specific upstream xfails
3b6ff8c 
We test on more architectures, so upstream's xfails are not always
correct everywhere.  On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: pandas-dev/pandas#38921, pandas-dev/pandas#38798, pandas-dev/pandas#41740, numpy/numpy#19146
Forwarded: no


Gbp-Pq: Name fix_overly_arch_specific_xfails.patch
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