[Epel-packagers-sig] [Bug 2212443] New: python-pandas: FTBFS in Fedora 37

https://bugzilla.redhat.com/show_bug.cgi?id=2212443

            Bug ID: 2212443
           Summary: python-pandas: FTBFS in Fedora 37
           Product: Fedora
           Version: 37
               URL: https://koschei.fedoraproject.org/package/python-panda
                    s
            Status: NEW
         Component: python-pandas
          Assignee: jonathan(a)almalinux.org
          Reporter: code(a)musicinmybrain.net
        QA Contact: extras-qa(a)fedoraproject.org
                CC: epel-packagers-sig(a)lists.fedoraproject.org,
                    jonathan(a)almalinux.org, mail(a)kushaldas.in,
                    neuro-sig(a)lists.fedoraproject.org, orion(a)nwra.com,
                    python-packagers-sig(a)lists.fedoraproject.org,
                    sergio.pasra(a)gmail.com, tomspur(a)fedoraproject.org,
                    wfp5p(a)worldbroken.com
  Target Milestone: ---
    Classification: Fedora



Description of problem:
Package python-pandas fails to build from source in Fedora 37.

Version-Release number of selected component (if applicable):
1.5.3-1.fc37

Steps to Reproduce:
koji build --scratch f37 python-pandas-1.5.3-1.fc37.src.rpm

Additional info:
This package is tracked by Koschei. See:
https://koschei.fedoraproject.org/package/python-pandas


=================================== FAILURES
===================================
___________ test_construct_dask_float_array_int_dtype_match_ndarray
____________
[gw0] linux -- Python 3.11.3 /usr/bin/python3
    @td.skip_if_no("dask")
    def test_construct_dask_float_array_int_dtype_match_ndarray():
        # GH#40110 make sure we treat a float-dtype dask array with the same
        #  rules we would for an ndarray
        import dask.dataframe as dd

        arr = np.array([1, 2.5, 3])
        darr = dd.from_array(arr)

        res = Series(darr)
        expected = Series(arr)
        tm.assert_series_equal(res, expected)

        res = Series(darr, dtype="i8")
        expected = Series(arr, dtype="i8")
        tm.assert_series_equal(res, expected)

        msg = "In a future version, passing float-dtype values containing NaN"
        arr[2] = np.nan
>        with tm.assert_produces_warning(FutureWarning, match=msg):
../../../BUILDROOT/python-pandas-1.5.3-1.fc37.x86_64/usr/lib64/python3.11/site-packages/pandas/tests/test_downstream.py:105:

_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/lib64/python3.11/contextlib.py:144: in __exit__
    next(self.gen)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    def _assert_caught_no_extra_warnings(
        *,
        caught_warnings: Sequence[warnings.WarningMessage],
        expected_warning: type[Warning] | bool | tuple[type[Warning], ...] |
None,
    ) -> None:
        """Assert that no extra warnings apart from the expected ones are
caught."""
        extra_warnings = []

        for actual_warning in caught_warnings:
            if _is_unexpected_warning(actual_warning, expected_warning):
                # GH#38630 pytest.filterwarnings does not suppress these.
                if actual_warning.category == ResourceWarning:
                    # GH 44732: Don't make the CI flaky by filtering
SSL-related
                    # ResourceWarning from dependencies
                    unclosed_ssl = (
                        "unclosed transport
<asyncio.sslproto._SSLProtocolTransport",
                        "unclosed <ssl.SSLSocket",
                    )
                    if any(msg in str(actual_warning.message) for msg in
unclosed_ssl):
                        continue
                    # GH 44844: Matplotlib leaves font files open during the
entire process
                    # upon import. Don't make CI flaky if ResourceWarning
raised
                    # due to these open files.
                    if any("matplotlib" in mod for mod in sys.modules):
                        continue

                extra_warnings.append(
                    (
                        actual_warning.category.__name__,
                        actual_warning.message,
                        actual_warning.filename,
                        actual_warning.lineno,
                    )
                )

        if extra_warnings:
>            raise AssertionError(f"Caused unexpected warning(s):
> {repr(extra_warnings)}") 
E           AssertionError: Caused unexpected
warning(s): [('RuntimeWarning',
RuntimeWarning('invalid value encountered in cast'),
'/builddir/build/BUILDROOT/python-pandas-1.5.3-1.fc37.x86_64/usr/lib64/python3.11/site-packages/pandas/core/dtypes/cast.py',
1836)]
../../../BUILDROOT/python-pandas-1.5.3-1.fc37.x86_64/usr/lib64/python3.11/site-packages/pandas/_testing/_warnings.py:192:
AssertionError
_______________________ test_xarray_cftimeindex_nearest
________________________
[gw0] linux -- Python 3.11.3 /usr/bin/python3
    @td.skip_if_no("cftime")
    @td.skip_if_no("xarray", "0.10.4")
    def test_xarray_cftimeindex_nearest():
        # https://github.com/pydata/xarray/issues/3751
        import cftime
        import xarray

        times = xarray.cftime_range("0001", periods=2)
        key = cftime.DatetimeGregorian(2000, 1, 1)
        with tm.assert_produces_warning(
            FutureWarning, match="deprecated", check_stacklevel=False
        ):
>            result = times.get_loc(key, method="nearest")
E           TypeError: CFTimeIndex.get_loc() got an unexpected keyword argument
'method'
../../../BUILDROOT/python-pandas-1.5.3-1.fc37.x86_64/usr/lib64/python3.11/site-packages/pandas/tests/test_downstream.py:131:
TypeError

These new errors were caused by dependency updates; numpy 1:1.24.3-1.fc37 and
python-xarray 2023.4.2-2.fc37 are likely involved.

I’m not inclined to put a lot of effort into backporting changes from a more
recent version of Pandas. If we want to fix the FTBFS, it may be just to skip
these two tests and pretend everything is OK.


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