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Bug 1841804 - python-zeep fails to build due to test failures
Summary: python-zeep fails to build due to test failures
Keywords:
Status: CLOSED RAWHIDE
Alias: None
Product: Fedora
Classification: Fedora
Component: python-zeep
Version: rawhide
Hardware: Unspecified
OS: Unspecified
unspecified
unspecified
Target Milestone: ---
Assignee: Georg Sauthoff
QA Contact: Fedora Extras Quality Assurance
URL:
Whiteboard:
Depends On: 1841669
Blocks: F33FTBFS PYTHON39 1841724
TreeView+ depends on / blocked
 
Reported: 2020-05-29 14:38 UTC by Igor Raits
Modified: 2020-06-21 18:35 UTC (History)
3 users (show)

Fixed In Version:
Doc Type: If docs needed, set a value
Doc Text:
Clone Of:
Environment:
Last Closed: 2020-06-21 18:35:47 UTC
Type: ---
Embargoed:

Attachments (Terms of Use)

Description Igor Raits 2020-05-29 14:38:47 UTC 
Hello,

Please note that this comment was generated automatically. If you feel that this output has mistakes, please contact me via email (ignatenkobrain).

Your package (python-zeep) Fails To Install in Fedora 33:

can't install python3-zeep:
  - nothing provides python3.8dist(six) >= 1.9 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(appdirs) >= 1.4 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(attrs) >= 17.2 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(cached-property) >= 1.3 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(defusedxml) >= 0.4.1 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(isodate) >= 0.5.4 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(lxml) >= 3.1 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(requests) >= 2.7 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(requests-toolbelt) >= 0.7.1 needed by python3-zeep-3.4.0-3.fc32.noarch
  - nothing provides python3.8dist(pytz) needed by python3-zeep-3.4.0-3.fc32.noarch
  
If you don't react accordingly to the policy for FTBFS/FTI bugs (https://docs.fedoraproject.org/en-US/fesco/Fails_to_build_from_source_Fails_to_install/), your package may be orphaned in 8+ weeks.

P.S. The data was generated solely from koji buildroot, so it might be newer than the latest compose or the content on mirrors.

P.P.S. If this bug has been reported in the middle of upgrading multiple dependent packages, please consider using side tags: https://docs.fedoraproject.org/en-US/rawhide-gating/multi-builds/

Thanks!
Comment 1 Igor Raits 2020-06-08 07:00:02 UTC 
Hello,

This is the first reminder (step 3 from https://docs.fedoraproject.org/en-US/fesco/Fails_to_build_from_source_Fails_to_install/#_package_removal_for_long_standing_ftbfs_and_fti_bugs).

If you know about this problem and are planning on fixing it, please acknowledge so by setting the bug status to ASSIGNED. If you don't have time to maintain this package, consider orphaning it, so maintainers of dependent packages realize the problem.
Comment 2 Tomáš Hrnčiar 2020-06-11 11:50:06 UTC 
python-zeep fails to build due to test failures 

=================================== FAILURES ===================================
_______________ TestVariable.test_aggregation[float-method_std] ________________
[gw3] linux -- Python 3.9.0 /usr/bin/python3
self = <xarray.tests.test_units.TestVariable object at 0xffff8588aee0>
func = method_std, dtype = <class 'float'>
    @pytest.mark.parametrize(
        "func",
        (
            method("all"),
            method("any"),
            method("argmax"),
            method("argmin"),
            method("argsort"),
            method("cumprod"),
            method("cumsum"),
            method("max"),
            method("mean"),
            method("median"),
            method("min"),
            pytest.param(
                method("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            method("std"),
            method("sum"),
            method("var"),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        array = np.linspace(0, 1, 10).astype(dtype) * (
            unit_registry.m if func.name != "cumprod" else unit_registry.dimensionless
        )
        variable = xr.Variable("x", array)
    
        units = extract_units(func(array))
        expected = attach_units(func(strip_units(variable)), units)
        actual = func(variable)
    
        assert_units_equal(expected, actual)
>       xr.testing.assert_identical(expected, actual)
E       AssertionError: Left and right Variable objects are not identical
E       
E       Differing values:
E       L
E           array(0.319142)
E       R
E           array(0.319142)
../../BUILDROOT/python-xarray-0.15.1-3.fc33.noarch/usr/lib/python3.9/site-packages/xarray/tests/test_units.py:1451: AssertionError
_______________ TestVariable.test_aggregation[float-method_var] ________________
[gw3] linux -- Python 3.9.0 /usr/bin/python3
self = <xarray.tests.test_units.TestVariable object at 0xffff858bfcd0>
func = method_var, dtype = <class 'float'>
    @pytest.mark.parametrize(
        "func",
        (
            method("all"),
            method("any"),
            method("argmax"),
            method("argmin"),
            method("argsort"),
            method("cumprod"),
            method("cumsum"),
            method("max"),
            method("mean"),
            method("median"),
            method("min"),
            pytest.param(
                method("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            method("std"),
            method("sum"),
            method("var"),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        array = np.linspace(0, 1, 10).astype(dtype) * (
            unit_registry.m if func.name != "cumprod" else unit_registry.dimensionless
        )
        variable = xr.Variable("x", array)
    
        units = extract_units(func(array))
        expected = attach_units(func(strip_units(variable)), units)
        actual = func(variable)
    
        assert_units_equal(expected, actual)
>       xr.testing.assert_identical(expected, actual)
E       AssertionError: Left and right Variable objects are not identical
E       
E       Differing values:
E       L
E           array(0.101852)
E       R
E           array(0.101852)
../../BUILDROOT/python-xarray-0.15.1-3.fc33.noarch/usr/lib/python3.9/site-packages/xarray/tests/test_units.py:1451: AssertionError
_______________ TestDataset.test_aggregation[float-function_std] _______________
[gw2] linux -- Python 3.9.0 /usr/bin/python3
self = <xarray.tests.test_units.TestDataset object at 0xffff7ca9f190>
func = function_std, dtype = <class 'float'>
    @pytest.mark.parametrize(
        "func",
        (
            pytest.param(
                function("all"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            pytest.param(
                function("any"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("argmax"),
            function("argmin"),
            function("max"),
            function("min"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.xfail(
                    reason="np.median does not work with dataset yet"
                ),
            ),
            function("sum"),
            pytest.param(
                function("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("std"),
            function("var"),
            function("cumsum"),
            pytest.param(
                function("cumprod"),
                marks=pytest.mark.xfail(reason="fails within xarray"),
            ),
            pytest.param(
                method("all"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            pytest.param(
                method("any"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            method("argmax"),
            method("argmin"),
            method("max"),
            method("min"),
            method("mean"),
            method("median"),
            method("sum"),
            pytest.param(
                method("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            method("std"),
            method("var"),
            method("cumsum"),
            pytest.param(
                method("cumprod"), marks=pytest.mark.xfail(reason="fails within xarray")
            ),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        unit_a = (
            unit_registry.Pa if func.name != "cumprod" else unit_registry.dimensionless
        )
        unit_b = (
            unit_registry.kg / unit_registry.m ** 3
            if func.name != "cumprod"
            else unit_registry.dimensionless
        )
        a = xr.DataArray(data=np.linspace(0, 1, 10).astype(dtype) * unit_a, dims="x")
        b = xr.DataArray(data=np.linspace(-1, 0, 10).astype(dtype) * unit_b, dims="x")
        x = xr.DataArray(data=np.arange(10).astype(dtype) * unit_registry.m, dims="x")
        y = xr.DataArray(
            data=np.arange(10, 20).astype(dtype) * unit_registry.s, dims="x"
        )
    
        ds = xr.Dataset(data_vars={"a": a, "b": b}, coords={"x": x, "y": y})
    
        actual = func(ds)
        expected = attach_units(
            func(strip_units(ds)),
            {
                "a": extract_units(func(a)).get(None),
                "b": extract_units(func(b)).get(None),
            },
        )
    
>       assert_equal_with_units(actual, expected)
E       AssertionError: Left and right Dataset objects are not equal
E         
E         
E         Differing data variables:
E         L   b        float64 <Quantity(0.31914236925211265, 'kilogram / meter ** 3')>
E         R   b        float64 <Quantity(0.3191423692521127, 'kilogram / meter ** 3')>
E         L   a        float64 <Quantity(0.31914236925211265, 'pascal')>
E         R   a        float64 <Quantity(0.3191423692521127, 'pascal')>
E       assert False
E        +  where False = <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191>(<xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191)
E        +    where <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191> = <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191.equals
../../BUILDROOT/python-xarray-0.15.1-3.fc33.noarch/usr/lib/python3.9/site-packages/xarray/tests/test_units.py:3812: AssertionError
_______________ TestDataset.test_aggregation[float-function_var] _______________
[gw2] linux -- Python 3.9.0 /usr/bin/python3
self = <xarray.tests.test_units.TestDataset object at 0xffff7df4ebb0>
func = function_var, dtype = <class 'float'>
    @pytest.mark.parametrize(
        "func",
        (
            pytest.param(
                function("all"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            pytest.param(
                function("any"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("argmax"),
            function("argmin"),
            function("max"),
            function("min"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.xfail(
                    reason="np.median does not work with dataset yet"
                ),
            ),
            function("sum"),
            pytest.param(
                function("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("std"),
            function("var"),
            function("cumsum"),
            pytest.param(
                function("cumprod"),
                marks=pytest.mark.xfail(reason="fails within xarray"),
            ),
            pytest.param(
                method("all"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            pytest.param(
                method("any"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            method("argmax"),
            method("argmin"),
            method("max"),
            method("min"),
            method("mean"),
            method("median"),
            method("sum"),
            pytest.param(
                method("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            method("std"),
            method("var"),
            method("cumsum"),
            pytest.param(
                method("cumprod"), marks=pytest.mark.xfail(reason="fails within xarray")
            ),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        unit_a = (
            unit_registry.Pa if func.name != "cumprod" else unit_registry.dimensionless
        )
        unit_b = (
            unit_registry.kg / unit_registry.m ** 3
            if func.name != "cumprod"
            else unit_registry.dimensionless
        )
        a = xr.DataArray(data=np.linspace(0, 1, 10).astype(dtype) * unit_a, dims="x")
        b = xr.DataArray(data=np.linspace(-1, 0, 10).astype(dtype) * unit_b, dims="x")
        x = xr.DataArray(data=np.arange(10).astype(dtype) * unit_registry.m, dims="x")
        y = xr.DataArray(
            data=np.arange(10, 20).astype(dtype) * unit_registry.s, dims="x"
        )
    
        ds = xr.Dataset(data_vars={"a": a, "b": b}, coords={"x": x, "y": y})
    
        actual = func(ds)
        expected = attach_units(
            func(strip_units(ds)),
            {
                "a": extract_units(func(a)).get(None),
                "b": extract_units(func(b)).get(None),
            },
        )
    
>       assert_equal_with_units(actual, expected)
E       AssertionError: Left and right Dataset objects are not equal
E         
E         
E         Differing data variables:
E         L   b        float64 <Quantity(0.10185185185185183, 'kilogram ** 2 / meter **...
E         R   b        float64 <Quantity(0.10185185185185186, 'kilogram ** 2 / meter **...
E         L   a        float64 <Quantity(0.10185185185185183, 'pascal ** 2')>
E         R   a        float64 <Quantity(0.10185185185185186, 'pascal ** 2')>
E       assert False
E        +  where False = <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019>(<xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019)
E        +    where <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019> = <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019.equals
../../BUILDROOT/python-xarray-0.15.1-3.fc33.noarch/usr/lib/python3.9/site-packages/xarray/tests/test_units.py:3812: AssertionError
________________ TestDataset.test_aggregation[float-method_std] ________________
[gw2] linux -- Python 3.9.0 /usr/bin/python3
self = <xarray.tests.test_units.TestDataset object at 0xffff7d301070>
func = method_std, dtype = <class 'float'>
    @pytest.mark.parametrize(
        "func",
        (
            pytest.param(
                function("all"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            pytest.param(
                function("any"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("argmax"),
            function("argmin"),
            function("max"),
            function("min"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.xfail(
                    reason="np.median does not work with dataset yet"
                ),
            ),
            function("sum"),
            pytest.param(
                function("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("std"),
            function("var"),
            function("cumsum"),
            pytest.param(
                function("cumprod"),
                marks=pytest.mark.xfail(reason="fails within xarray"),
            ),
            pytest.param(
                method("all"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            pytest.param(
                method("any"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            method("argmax"),
            method("argmin"),
            method("max"),
            method("min"),
            method("mean"),
            method("median"),
            method("sum"),
            pytest.param(
                method("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            method("std"),
            method("var"),
            method("cumsum"),
            pytest.param(
                method("cumprod"), marks=pytest.mark.xfail(reason="fails within xarray")
            ),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        unit_a = (
            unit_registry.Pa if func.name != "cumprod" else unit_registry.dimensionless
        )
        unit_b = (
            unit_registry.kg / unit_registry.m ** 3
            if func.name != "cumprod"
            else unit_registry.dimensionless
        )
        a = xr.DataArray(data=np.linspace(0, 1, 10).astype(dtype) * unit_a, dims="x")
        b = xr.DataArray(data=np.linspace(-1, 0, 10).astype(dtype) * unit_b, dims="x")
        x = xr.DataArray(data=np.arange(10).astype(dtype) * unit_registry.m, dims="x")
        y = xr.DataArray(
            data=np.arange(10, 20).astype(dtype) * unit_registry.s, dims="x"
        )
    
        ds = xr.Dataset(data_vars={"a": a, "b": b}, coords={"x": x, "y": y})
    
        actual = func(ds)
        expected = attach_units(
            func(strip_units(ds)),
            {
                "a": extract_units(func(a)).get(None),
                "b": extract_units(func(b)).get(None),
            },
        )
    
>       assert_equal_with_units(actual, expected)
E       AssertionError: Left and right Dataset objects are not equal
E         
E         
E         Differing data variables:
E         L   b        float64 <Quantity(0.31914236925211265, 'kilogram / meter ** 3')>
E         R   b        float64 <Quantity(0.3191423692521127, 'kilogram / meter ** 3')>
E         L   a        float64 <Quantity(0.31914236925211265, 'pascal')>
E         R   a        float64 <Quantity(0.3191423692521127, 'pascal')>
E       assert False
E        +  where False = <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191>(<xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191)
E        +    where <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191> = <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.3191\n    b        float64 0.3191.equals
../../BUILDROOT/python-xarray-0.15.1-3.fc33.noarch/usr/lib/python3.9/site-packages/xarray/tests/test_units.py:3812: AssertionError
________________ TestDataset.test_aggregation[float-method_var] ________________
[gw2] linux -- Python 3.9.0 /usr/bin/python3
self = <xarray.tests.test_units.TestDataset object at 0xffff7dd19580>
func = method_var, dtype = <class 'float'>
    @pytest.mark.parametrize(
        "func",
        (
            pytest.param(
                function("all"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            pytest.param(
                function("any"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("argmax"),
            function("argmin"),
            function("max"),
            function("min"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.xfail(
                    reason="np.median does not work with dataset yet"
                ),
            ),
            function("sum"),
            pytest.param(
                function("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            function("std"),
            function("var"),
            function("cumsum"),
            pytest.param(
                function("cumprod"),
                marks=pytest.mark.xfail(reason="fails within xarray"),
            ),
            pytest.param(
                method("all"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            pytest.param(
                method("any"), marks=pytest.mark.xfail(reason="not implemented by pint")
            ),
            method("argmax"),
            method("argmin"),
            method("max"),
            method("min"),
            method("mean"),
            method("median"),
            method("sum"),
            pytest.param(
                method("prod"),
                marks=pytest.mark.xfail(reason="not implemented by pint"),
            ),
            method("std"),
            method("var"),
            method("cumsum"),
            pytest.param(
                method("cumprod"), marks=pytest.mark.xfail(reason="fails within xarray")
            ),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        unit_a = (
            unit_registry.Pa if func.name != "cumprod" else unit_registry.dimensionless
        )
        unit_b = (
            unit_registry.kg / unit_registry.m ** 3
            if func.name != "cumprod"
            else unit_registry.dimensionless
        )
        a = xr.DataArray(data=np.linspace(0, 1, 10).astype(dtype) * unit_a, dims="x")
        b = xr.DataArray(data=np.linspace(-1, 0, 10).astype(dtype) * unit_b, dims="x")
        x = xr.DataArray(data=np.arange(10).astype(dtype) * unit_registry.m, dims="x")
        y = xr.DataArray(
            data=np.arange(10, 20).astype(dtype) * unit_registry.s, dims="x"
        )
    
        ds = xr.Dataset(data_vars={"a": a, "b": b}, coords={"x": x, "y": y})
    
        actual = func(ds)
        expected = attach_units(
            func(strip_units(ds)),
            {
                "a": extract_units(func(a)).get(None),
                "b": extract_units(func(b)).get(None),
            },
        )
    
>       assert_equal_with_units(actual, expected)
E       AssertionError: Left and right Dataset objects are not equal
E         
E         
E         Differing data variables:
E         L   b        float64 <Quantity(0.10185185185185183, 'kilogram ** 2 / meter **...
E         R   b        float64 <Quantity(0.10185185185185186, 'kilogram ** 2 / meter **...
E         L   a        float64 <Quantity(0.10185185185185183, 'pascal ** 2')>
E         R   a        float64 <Quantity(0.10185185185185186, 'pascal ** 2')>
E       assert False
E        +  where False = <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019>(<xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019)
E        +    where <bound method Dataset.equals of <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019> = <xarray.Dataset>\nDimensions:  ()\nData variables:\n    a        float64 0.1019\n    b        float64 0.1019.equals
../../BUILDROOT/python-xarray-0.15.1-3.fc33.noarch/usr/lib/python3.9/site-packages/xarray/tests/test_units.py:3812: AssertionError
Comment 3 Georg Sauthoff 2020-06-20 18:08:54 UTC 
The above seems to be output from the python-xarray package - not from python-zeep.

Is this ome Mixup?
Comment 4 Miro Hrončok 2020-06-21 06:21:44 UTC 
Indeed a mixup, sorry. The error here is:

  Error: 
   Problem: conflicting requests
    - nothing provides python(abi) = 3.8 needed by python3-aioresponses-0.6.3-1.fc33.noarch
    - nothing provides (python3.8dist(aiohttp) < 4 with python3.8dist(aiohttp) >= 2) needed by python3-aioresponses-0.6.3-1.fc33.noarch
Comment 5 Igor Raits 2020-06-21 18:06:41 UTC 
Hello,

Please note that this comment was generated automatically. If you feel that this output has mistakes, please contact me via email (ignatenkobrain).

All subpackages of a package agaisnt which this bug was filled are now installable or removed from Fedora 33.

Thanks for taking care of it!
Comment 6 Georg Sauthoff 2020-06-21 18:35:47 UTC 
Koji build: https://koji.fedoraproject.org/koji/taskinfo?taskID=45949236
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