TST: Tests broken in ARM

[datapythonista]

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

[jreback]

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

[simonjayhawkins]

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.