Source: pandas Version: 1.3.5+dfsg-6 Severity: serious X-Debbugs-CC: [email protected] Tags: sid bookworm User: [email protected] 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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