Bug#1026351: pandas: autopkgtest on i386 needs update for new version of numpy: AssertionError

[Paul Gevers]

Source: pandas
Version: 1.3.5+dfsg-6
Severity: serious
X-Debbugs-CC: numpy at packages.debian.org
Tags: sid bookworm
User: debian-ci at lists.debian.org
Usertags: needs-update
Control: affects -1 src:numpy

Dear maintainer(s),

With a recent upload of numpy the autopkgtest of xmds2 fails in testing 
on i386 when that autopkgtest is run with the binary packages of numpy 
from unstable. It passes when run with only packages from testing. In 
tabular form:

                        pass            fail
numpy                  from testing    1:1.23.5-2
xmds2                  from testing    1.3.5+dfsg-6
all others             from testing    from testing

I copied some of the output at the bottom of this report.

Currently this regression is blocking the migration of numpy to testing 
[1]. Of course, numpy shouldn't just break your autopkgtest (or even 
worse, your package), but it seems to me that the change in numpy was 
intended and your package needs to update to the new situation.

If this is a real problem in your package (and not only in your 
autopkgtest), the right binary package(s) from numpy should really add a 
versioned Breaks on the unfixed version of (one of your) package(s). 
Note: the Breaks is nice even if the issue is only in the autopkgtest as 
it helps the migration software to figure out the right versions to 
combine in the tests.

More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation

Paul

[1] https://qa.debian.org/excuses.php?package=numpy

https://ci.debian.net/data/autopkgtest/testing/i386/p/pandas/29451939/log.gz

=================================== FAILURES 
===================================
_ 
TestDateRanges.test_date_range_int64_overflow_stride_endpoint_different_signs 
_

self = <pandas.tests.indexes.datetimes.test_date_range.TestDateRanges 
object at 0xebec9538>

     @pytest.mark.slow
     def 
test_date_range_int64_overflow_stride_endpoint_different_signs(self):
         # cases where stride * periods overflow int64 and stride/endpoint
         #  have different signs
         start = Timestamp("2262-02-23")
         end = Timestamp("1969-11-14")

         expected = date_range(start=start, end=end, freq="-1H")
         assert expected[0] == start
         assert expected[-1] == end

         dti = date_range(end=end, periods=len(expected), freq="-1H")
 >       tm.assert_index_equal(dti, expected)
E       AssertionError: Index are different
E
E       Index length are different
E       [left]:  0, DatetimeIndex([], dtype='datetime64[ns]', freq='-1H')
E       [right]: 2562049, DatetimeIndex(['2262-02-23 00:00:00', 
'2262-02-22 23:00:00',
E                      '2262-02-22 22:00:00', '2262-02-22 21:00:00',
E                      '2262-02-22 20:00:00', '2262-02-22 19:00:00',
E                      '2262-02-22 18:00:00', '2262-02-22 17:00:00',
E                      '2262-02-22 16:00:00', '2262-02-22 15:00:00',
E                      ...
E                      '1969-11-14 09:00:00', '1969-11-14 08:00:00',
E                      '1969-11-14 07:00:00', '1969-11-14 06:00:00',
E                      '1969-11-14 05:00:00', '1969-11-14 04:00:00',
E                      '1969-11-14 03:00:00', '1969-11-14 02:00:00',
E                      '1969-11-14 01:00:00', '1969-11-14 00:00:00'],
E                     dtype='datetime64[ns]', length=2562049, freq='-1H')

/usr/lib/python3/dist-packages/pandas/tests/indexes/datetimes/test_date_range.py:161: 
AssertionError
=============================== warnings summary 
===============================
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