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Test failures with test_rolling_var_numerical_issues on Linux ppc64le #149

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jakirkham opened this issue Dec 15, 2022 · 1 comment
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@jakirkham
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Seeing some mismatches in the Linux ppc64le builds with test_rolling_var_numerical_issues:

=================================== FAILURES ===================================
_______________ test_rolling_var_numerical_issues[var-1-values0] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

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

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @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)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
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, 5e+33, 0.0, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, 0.0]
E   [right]: [nan, 5e+33, 0.0, 0.5, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:167: AssertionError
_______________ test_rolling_var_numerical_issues[std-1-values1] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

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

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @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)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
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:167: AssertionError
_______________ test_rolling_var_numerical_issues[var-2-values2] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

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

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @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)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
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, 5e+33, -2.7212384506478592e+17, 0.0, -2.7212384506478592e+17, -2.7212384506478592e+17, 0.0]
E   [right]: [nan, 5e+33, 0.5, 0.0, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:167: AssertionError
_______________ test_rolling_var_numerical_issues[std-2-values3] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

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

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @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)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
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:167: AssertionError

Here's a link to the CI build (attached log for posterity).

@jakirkham
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Related upstream issue ( pandas-dev/pandas#38921 ). Also PR ( pandas-dev/pandas#50349 ) skipping this test on this architecture.

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