TST: Tests broken in ARM #41740
Description
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