Your message dated Sun, 19 Feb 2023 12:50:55 +0000
with message-id <e1ptj9b-00dpap...@fasolo.debian.org>
and subject line Bug#1031437: fixed in pandas 1.5.3+dfsg-2
has caused the Debian Bug report #1031437,
regarding pandas: FTBFS: 
/usr/lib/python3/dist-packages/dateutil/zoneinfo/__init__.py:26: UserWarning: 
I/O error(2): No such file or directory
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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-- 
1031437: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1031437
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: pandas
Version: 1.5.3+dfsg-1
Severity: serious
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lu...@debian.org
Usertags: ftbfs-20230216 ftbfs-bookworm

Hi,

During a rebuild of all packages in sid, your package failed to build
on amd64.


Relevant part (hopefully):
> _________ test_expanding_apply_consistency_sum_nans[all_data17-2-sum] 
> __________
> request = <FixtureRequest for <Function 
> test_expanding_apply_consistency_sum_nans[all_data17-2-sum]>>
> all_data =      0
> 0  NaN
> 1  1.0
> 2  NaN
> 3  3.0
> 4  2.0, min_periods = 2
> f = <function sum at 0x7f0bc1685440>
> 
>     @pytest.mark.parametrize("f", [lambda v: Series(v).sum(), np.nansum, 
> np.sum])
>     def test_expanding_apply_consistency_sum_nans(request, all_data, 
> min_periods, f):
>         if f is np.sum:
>             if not no_nans(all_data) and not (
>                 all_na(all_data) and not all_data.empty and min_periods > 0
>             ):
>                 request.node.add_marker(
>                     pytest.mark.xfail(reason="np.sum has different behavior 
> with NaNs")
>                 )
>         expanding_f_result = all_data.expanding(min_periods=min_periods).sum()
>         expanding_apply_f_result = 
> all_data.expanding(min_periods=min_periods).apply(
>             func=f, raw=True
>         )
> >       tm.assert_equal(expanding_f_result, expanding_apply_f_result)
> 
> pandas/tests/window/moments/test_moments_consistency_expanding.py:29: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> _ 
> pandas/_libs/testing.pyx:52: 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: DataFrame.iloc[:, 0] (column name="0") are different
> E   
> E   DataFrame.iloc[:, 0] (column name="0") values are different (40.0 %)
> E   [index]: [0, 1, 2, 3, 4]
> E   [left]:  [nan, nan, nan, 4.0, 6.0]
> E   [right]: [nan, nan, nan, nan, nan]
> 
> pandas/_libs/testing.pyx:167: AssertionError
> - generated xml file: 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/test-data.xml -
> ============================= slowest 30 durations 
> =============================
> 0.69s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_center_reindex_frame[False]
> 0.32s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_timegrouper_with_reg_groups
> 0.24s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_time_rule_frame[False]
> 0.18s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_frame[False]
> 0.12s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_with_timegrouper
> 0.07s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_apply_timegrouper_with_nat_apply_squeeze
> 0.07s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_center_reindex_series[False]
> 0.06s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_min_periods[False-None-0]
> 0.06s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_min_periods[False-1-0]
> 0.05s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_nans[False]
> 0.04s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_time_rule_frame[True]
> 0.04s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_center_reindex_frame[True]
> 0.04s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_timegrouper_get_group
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_min_periods[False-2-0]
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_timegrouper_with_reg_groups_freq[A]
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_timegrouper_with_reg_groups_freq[D]
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_timegrouper_with_reg_groups_freq[M]
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_groups_datetimeindex_tz
> 0.03s setup    
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_apply_timegrouper_with_nat_dict_returns
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_timegrouper_with_reg_groups_freq[Q-APR]
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_datetime_count
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_groups_datetimeindex
> 0.03s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_time_rule_series[False]
> 0.02s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_multi_timezone
> 0.02s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_consistency_var_debiasing_factors[all_data15-0]
> 0.02s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_with_timegrouper_methods[True]
> 0.02s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py::test_center[False]
> 0.02s call     
> .pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_groups_periods
> 0.02s call     
> .pybuild/cpython3_3.11/build/pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_consistency_var_debiasing_factors[all_data13-0]
> 0.02s setup    
> .pybuild/cpython3_3.11/build/pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_consistency_var_debiasing_factors[all_data15-0]
> =========================== short test summary info 
> ============================
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data1-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data5-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data5-2-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data6-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data6-2-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data7-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data7-2-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data11-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data15-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data15-2-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data16-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data16-2-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data17-0-sum]
> FAILED 
> pandas/tests/window/moments/test_moments_consistency_expanding.py::test_expanding_apply_consistency_sum_nans[all_data17-2-sum]
> ================ 14 failed, 469 passed, 1384 skipped in 37.84s 
> =================
> E: pybuild pybuild:388: test: plugin custom failed with: exit code=1: 
> TEST_SUCCESS=true; cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build ; for 
> TEST_SUBSET in /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/* ; 
> do PANDAS_CI=1 LOCALE_OVERRIDE=C xvfb-run -a -s "-screen 0 1280x1024x24 
> -noreset" python3.11 -m pytest -s -m "not network" -k "not 
> test_register_entrypoint and not test_wrong_url and not test_statsmodels" 
> --confcutdir=/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas 
> --deb-data-root-dir=/<<PKGBUILDDIR>>/pandas/tests --strict-data-files 
> $TEST_SUBSET || test $? = 5 || TEST_SUCCESS=false && echo "rdjoqkol test 
> state = $TEST_SUCCESS"; done ; PANDAS_CI=1 LOCALE_OVERRIDE=C python3.11 -m 
> pytest -s -m "not network" --forked --runxfail 
> --confcutdir=/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas 
> --deb-data-root-dir=/<<PKGBUILDDIR>>/pandas/tests --strict-data-files 
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/groupby/test_numba.py
>  
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/groupby/test_timegrouper.py
>  
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/groupby/transform/test_numba.py
>  
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/groupby/aggregate/test_numba.py
>  
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/window/test_numba.py
>  
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/window/test_apply.py
>  
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/window/test_online.py
>  
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/pandas/tests/window/moments/test_moments_consistency_expanding.py
>  || true ; rm -f test-data.xml ; $TEST_SUCCESS
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.11 
> returned exit code 13


The full build log is available from:
http://qa-logs.debian.net/2023/02/16/pandas_1.5.3+dfsg-1_unstable.log

All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20230216;users=lu...@debian.org
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20230216&fusertaguser=lu...@debian.org&allbugs=1&cseverity=1&ctags=1&caffected=1#results

A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!

If you reassign this bug to another package, please mark it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects

If you fail to reproduce this, please provide a build log and diff it with mine
so that we can identify if something relevant changed in the meantime.

--- End Message ---
--- Begin Message ---
Source: pandas
Source-Version: 1.5.3+dfsg-2
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 1031...@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: Sun, 19 Feb 2023 11:01:48 +0000
Source: pandas
Architecture: source
Version: 1.5.3+dfsg-2
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: 1031437
Changes:
 pandas (1.5.3+dfsg-2) unstable; urgency=medium
 .
   * Tests: use a non-backzone timezone.  (Closes: #1031437)
Checksums-Sha1:
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 46a4cea622a38e00f82fa10f7bf7965e23fe71b3 70392 
pandas_1.5.3+dfsg-2.debian.tar.xz
 810ef2a4f2a0c46ad721c93a5c6b8d0f43384705 6585 
pandas_1.5.3+dfsg-2_source.buildinfo
Checksums-Sha256:
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pandas_1.5.3+dfsg-2.dsc
 406323533192c040dd7109238eb42217daf3a332b34243b38fa3782f501488a0 70392 
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pandas_1.5.3+dfsg-2_source.buildinfo
Files:
 14ce7b36fb646bb1915de31d346fc4a7 4776 python optional pandas_1.5.3+dfsg-2.dsc
 68d55a0a582e98dc2dad3ba9a2ec8abd 70392 python optional 
pandas_1.5.3+dfsg-2.debian.tar.xz
 f8436a0e037fc7379aa77767a498599c 6585 python optional 
pandas_1.5.3+dfsg-2_source.buildinfo

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--- End Message ---

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