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Bug#1000422: pandas: FTBFS with Python 3.10 - Test failures

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  Bug#1000422: pandas: FTBFS with Python 3.10 - Test failures Stefano Rivera <stefanor@debian.org> - 2021-11-22 23:10 +0100
    Bug#1000422: pandas: FTBFS with Python 3.10 - Test failures "Rebecca N. Palmer" <rebecca_palmer@zoho.com> - 2021-11-22 23:30 +0100

#1082741 — Bug#1000422: pandas: FTBFS with Python 3.10 - Test failures

Source: pandas
Version: 1.1.5+dfsg-2
Severity: serious
Justification: FTBFS

Pandas fails to build with Python 3.10.
See: https://buildd.debian.org/status/fetch.php?pkg=pandas&arch=amd64&ver=1.1.5%2Bdfsg-2%2Bb1&stamp=1637461771&raw=0

=================================== FAILURES ===================================
____ TestDatetime64SeriesComparison.test_comparison_invalid[None-DataFrame] ____

left =    0  1  2  3  4
0  0  1  2  3  4
right =            0          1          2          3          4
0 2001-01-01 2001-01-02 2001-01-03 2001-01-04 2001-01-05
box = <class 'pandas.core.frame.DataFrame'>

    def assert_invalid_comparison(left, right, box):
        """
        Assert that comparison operations with mismatched types behave correctly.

        Parameters
        ----------
        left : np.ndarray, ExtensionArray, Index, or Series
        right : object
        box : {pd.DataFrame, pd.Series, pd.Index, tm.to_array}
        """
        # Not for tznaive-tzaware comparison

        # Note: not quite the same as how we do this for tm.box_expected
        xbox = box if box is not Index else np.array

        result = left == right
        expected = xbox(np.zeros(result.shape, dtype=np.bool_))

        tm.assert_equal(result, expected)

        result = right == left
        tm.assert_equal(result, expected)

        result = left != right
        tm.assert_equal(result, ~expected)

        result = right != left
        tm.assert_equal(result, ~expected)

        msg = "|".join(
            [
                "Invalid comparison between",
                "Cannot compare type",
                "not supported between",
                "invalid type promotion",
                (
                    # GH#36706 npdev 1.20.0 2020-09-28
                    r"The DTypes <class 'numpy.dtype\[datetime64\]'> and "
                    r"<class 'numpy.dtype\[int64\]'> do not have a common DType. "
                    "For example they cannot be stored in a single array unless the "
                    "dtype is `object`."
                ),
            ]
        )
        with pytest.raises(TypeError, match=msg):
>           left < right

pandas/tests/arithmetic/common.py:89:

Looks like upstream has got there, but a quick search didn't find the
relevant patches, yet:
https://github.com/pandas-dev/pandas/commit/e7efd02c71c48c7968b2f8fdb845a0b0bf61a3fa

SR

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#1082743

I'm planning to go to pandas 1.3, which does work under 3.10: see 
#999415 and the package in experimental.

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