Your message dated Mon, 09 Jan 2023 23:21:54 +0000
with message-id <e1pf1sk-00ez7z...@fasolo.debian.org>
and subject line Bug#1023965: fixed in pandas 1.5.2+dfsg-4
has caused the Debian Bug report #1023965,
regarding pandas FTBFS with Python 3.11 as supported version
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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-- 
1023965: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1023965
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: pandas
Version: 1.3.5+dfsg-5
Severity: serious
Tags: ftbfs

https://buildd.debian.org/status/logs.php?pkg=pandas&ver=1.3.5%2Bdfsg-5%2Bb2

...
=================================== FAILURES ===================================
_____________________ TestCategoricalAPI.test_set_ordered ______________________

self = <pandas.tests.arrays.categorical.test_api.TestCategoricalAPI object at 
0x7f9b56ac27d0>

    def test_set_ordered(self):
    
        cat = Categorical(["a", "b", "c", "a"], ordered=True)
        cat2 = cat.as_unordered()
        assert not cat2.ordered
        cat2 = cat.as_ordered()
        assert cat2.ordered
        cat2.as_unordered(inplace=True)
        assert not cat2.ordered
        cat2.as_ordered(inplace=True)
        assert cat2.ordered
    
        assert cat2.set_ordered(True).ordered
        assert not cat2.set_ordered(False).ordered
        cat2.set_ordered(True, inplace=True)
        assert cat2.ordered
        cat2.set_ordered(False, inplace=True)
        assert not cat2.ordered
    
        # removed in 0.19.0
        msg = "can't set attribute"
        with pytest.raises(AttributeError, match=msg):
>           cat.ordered = True
E           AttributeError: property 'ordered' of 'Categorical' object has no 
setter

pandas/tests/arrays/categorical/test_api.py:59: AttributeError

During handling of the above exception, another exception occurred:

self = <pandas.tests.arrays.categorical.test_api.TestCategoricalAPI object at 
0x7f9b56ac27d0>

    def test_set_ordered(self):
    
        cat = Categorical(["a", "b", "c", "a"], ordered=True)
        cat2 = cat.as_unordered()
        assert not cat2.ordered
        cat2 = cat.as_ordered()
        assert cat2.ordered
        cat2.as_unordered(inplace=True)
        assert not cat2.ordered
        cat2.as_ordered(inplace=True)
        assert cat2.ordered
    
        assert cat2.set_ordered(True).ordered
        assert not cat2.set_ordered(False).ordered
        cat2.set_ordered(True, inplace=True)
        assert cat2.ordered
        cat2.set_ordered(False, inplace=True)
        assert not cat2.ordered
    
        # removed in 0.19.0
        msg = "can't set attribute"
>       with pytest.raises(AttributeError, match=msg):
E       AssertionError: Regex pattern "can't set attribute" does not match 
"property 'ordered' of 'Categorical' object has no setter".

pandas/tests/arrays/categorical/test_api.py:58: AssertionError
________________ TestPrivateCategoricalAPI.test_codes_immutable ________________

self = <pandas.tests.arrays.categorical.test_api.TestPrivateCategoricalAPI 
object at 0x7f9b56b0c790>

    def test_codes_immutable(self):
    
        # Codes should be read only
        c = Categorical(["a", "b", "c", "a", np.nan])
        exp = np.array([0, 1, 2, 0, -1], dtype="int8")
        tm.assert_numpy_array_equal(c.codes, exp)
    
        # Assignments to codes should raise
        with pytest.raises(AttributeError, match="can't set attribute"):
>           c.codes = np.array([0, 1, 2, 0, 1], dtype="int8")
E           AttributeError: property 'codes' of 'Categorical' object has no 
setter

pandas/tests/arrays/categorical/test_api.py:512: AttributeError

During handling of the above exception, another exception occurred:

self = <pandas.tests.arrays.categorical.test_api.TestPrivateCategoricalAPI 
object at 0x7f9b56b0c790>

    def test_codes_immutable(self):
    
        # Codes should be read only
        c = Categorical(["a", "b", "c", "a", np.nan])
        exp = np.array([0, 1, 2, 0, -1], dtype="int8")
        tm.assert_numpy_array_equal(c.codes, exp)
    
        # Assignments to codes should raise
>       with pytest.raises(AttributeError, match="can't set attribute"):
E       AssertionError: Regex pattern "can't set attribute" does not match 
"property 'codes' of 'Categorical' object has no setter".

pandas/tests/arrays/categorical/test_api.py:511: AssertionError
- generated xml file: 
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/test-data.xml -
============================= slowest 30 durations =============================
0.38s teardown 
.pybuild/cpython3_3.11/build/pandas/tests/arrays/timedeltas/test_reductions.py::TestReductions::test_mean_2d
0.21s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/interval/test_interval.py::TestAttributes::test_is_empty[both-IntervalIndex-left2-right2]
0.15s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_int_properties[pytz.FixedOffset(300)-Y-day_of_week]
0.10s teardown 
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_searchsorted_castable_strings[pyarrow-'dateutil/Asia/Singapore'-M-index]
0.09s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_compare_categorical_dtype[False-'-02:15'-Y-True-False]
0.04s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/categorical/test_dtypes.py::TestCategoricalDtypes::test_codes_dtypes
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/sparse/test_arithmetics.py::TestSparseArrayArithmetics::test_mixed_array_comparison[integer]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/sparse/test_arithmetics.py::TestSparseArrayArithmetics::test_mixed_array_comparison[block]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimes.py::TestDatetimeArray::test_astype_int[uint64]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimes.py::TestDatetimeArray::test_astype_int[int]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimes.py::TestDatetimeArray::test_astype_int[int32]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimes.py::TestDatetimeArray::test_astype_int[int64]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimes.py::TestDatetimeArray::test_astype_int[uint32]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_timedeltas.py::TestTimedeltaArray::test_astype_int[int]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_timedeltas.py::TestTimedeltaArray::test_astype_int[uint32]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_timedeltas.py::TestTimedeltaArray::test_astype_int[uint64]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_timedeltas.py::TestTimedeltaArray::test_astype_int[int64]
0.03s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_timedeltas.py::TestTimedeltaArray::test_astype_int[int32]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/period/test_astype.py::test_astype[int]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/sparse/test_arithmetics.py::TestSparseArrayArithmetics::test_float_array_comparison[integer]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/period/test_astype.py::test_astype[uint64]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/period/test_astype.py::test_astype_copies
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/period/test_astype.py::test_astype[int64]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/period/test_astype.py::test_astype[int32]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/period/test_astype.py::test_astype[uint32]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/sparse/test_arithmetics.py::TestSparseArrayArithmetics::test_int_array_comparison[integer]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/sparse/test_arithmetics.py::TestSparseArrayArithmetics::test_float_array_comparison[block]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/sparse/test_arithmetics.py::TestSparseArrayArithmetics::test_int_array_comparison[block]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/test_datetimes.py::TestDatetimeArray::test_astype_copies[datetime64[ns]-datetime64[ns,
 UTC]]
0.02s call     
.pybuild/cpython3_3.11/build/pandas/tests/arrays/categorical/test_api.py::TestCategoricalAPIWithFactor::test_describe
=========================== short test summary info ============================
FAILED 
pandas/tests/arrays/categorical/test_api.py::TestCategoricalAPI::test_set_ordered
FAILED 
pandas/tests/arrays/categorical/test_api.py::TestPrivateCategoricalAPI::test_codes_immutable
========== 2 failed, 12698 passed, 526 skipped, 69 xfailed in 43.93s ===========

--- End Message ---
--- Begin Message ---
Source: pandas
Source-Version: 1.5.2+dfsg-4
Done: Rebecca N. Palmer <rebecca_pal...@zoho.com>

We believe that the bug you reported is fixed in the latest version of
pandas, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 1023...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Rebecca N. Palmer <rebecca_pal...@zoho.com> (supplier of updated pandas package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512

Format: 1.8
Date: Mon, 09 Jan 2023 19:45:45 +0000
Source: pandas
Architecture: source
Version: 1.5.2+dfsg-4
Distribution: unstable
Urgency: medium
Maintainer: Debian Science Team 
<debian-science-maintain...@lists.alioth.debian.org>
Changed-By: Rebecca N. Palmer <rebecca_pal...@zoho.com>
Closes: 1022571 1023965
Changes:
 pandas (1.5.2+dfsg-4) unstable; urgency=medium
 .
   * Add dask transition Breaks (see #1025393).
   * Don't try to load intersphinx links from python-numpy-doc,
     as it no longer exists.
   * Upload to unstable.  (Closes: #1023965, #1022571)
Checksums-Sha1:
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pandas_1.5.2+dfsg-4.debian.tar.xz
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pandas_1.5.2+dfsg-4_source.buildinfo
Checksums-Sha256:
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pandas_1.5.2+dfsg-4.dsc
 6cbae44bf63795623f2dc0d54f1896b789e12d36a084c85e476832933ff27755 69924 
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 895579aed3b9cfed68b1761387bf135181bb8f57013cf3ac940a7d52f47abea1 6585 
pandas_1.5.2+dfsg-4_source.buildinfo
Files:
 601883d68535e82fc4b45443507203f9 4777 python optional pandas_1.5.2+dfsg-4.dsc
 4ebb60ab30dbbfe4607f14ea8b37bbd7 69924 python optional 
pandas_1.5.2+dfsg-4.debian.tar.xz
 9e375cdfe6a1ddcabc727a5aa85c4dfe 6585 python optional 
pandas_1.5.2+dfsg-4_source.buildinfo

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--- End Message ---

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