Your message dated Mon, 29 Jun 2020 08:28:47 +0000
with message-id <e1jpp9j-0002lz...@fasolo.debian.org>
and subject line Bug#963817: fixed in pandas 0.25.3+dfsg2-3
has caused the Debian Bug report #963817,
regarding numpy breaks pandas autopkgtest: TypeError: Cannot interpret
'CategoricalDtype(categories=None, ordered=None)' as a data type
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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--
963817: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=963817
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: numpy, pandas
Control: found -1 numpy/1:1.19.0-1
Control: found -1 pandas/0.25.3+dfsg2-2
Severity: serious
Tags: sid bullseye
X-Debbugs-CC: debian...@lists.debian.org
User: debian...@lists.debian.org
Usertags: breaks needs-update
Dear maintainer(s),
With a recent upload of numpy the autopkgtest of pandas fails in testing
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 1:1.19.0-1
pandas from testing 0.25.3+dfsg2-2
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]. Due to the nature of this issue, I filed this bug report against
both packages. Can you please investigate the situation and reassign the
bug to the right package?
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/amd64/p/pandas/6058901/log.gz
=================================== FAILURES
===================================
___________________ TestCategoricalDtype.test_numpy_informed
___________________
self = <pandas.tests.dtypes.test_dtypes.TestCategoricalDtype object at
0x7f9877b8b070>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E TypeError: Cannot interpret
'CategoricalDtype(categories=None, ordered=None)' as a data type
/usr/lib/python3/dist-packages/pandas/tests/dtypes/test_dtypes.py:50:
TypeError
During handling of the above exception, another exception occurred:
self = <pandas.tests.dtypes.test_dtypes.TestCategoricalDtype object at
0x7f9877b8b070>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E AssertionError: Pattern 'data type not understood' not found
in "Cannot interpret 'CategoricalDtype(categories=None, ordered=None)'
as a data type"
/usr/lib/python3/dist-packages/pandas/tests/dtypes/test_dtypes.py:50:
AssertionError
___________________ TestDatetimeTZDtype.test_numpy_informed
____________________
self = <pandas.tests.dtypes.test_dtypes.TestDatetimeTZDtype object at
0x7f9877a5bf70>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E TypeError: Cannot interpret 'datetime64[ns, US/Eastern]' as
a data type
/usr/lib/python3/dist-packages/pandas/tests/dtypes/test_dtypes.py:50:
TypeError
During handling of the above exception, another exception occurred:
self = <pandas.tests.dtypes.test_dtypes.TestDatetimeTZDtype object at
0x7f9877a5bf70>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E AssertionError: Pattern 'data type not understood' not found
in "Cannot interpret 'datetime64[ns, US/Eastern]' as a data type"
/usr/lib/python3/dist-packages/pandas/tests/dtypes/test_dtypes.py:50:
AssertionError
_____________________ TestPeriodDtype.test_numpy_informed
______________________
self = <pandas.tests.dtypes.test_dtypes.TestPeriodDtype object at
0x7f9877a23970>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E TypeError: Cannot interpret 'period[D]' as a data type
/usr/lib/python3/dist-packages/pandas/tests/dtypes/test_dtypes.py:50:
TypeError
During handling of the above exception, another exception occurred:
self = <pandas.tests.dtypes.test_dtypes.TestPeriodDtype object at
0x7f9877a23970>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E AssertionError: Pattern 'data type not understood' not found
in "Cannot interpret 'period[D]' as a data type"
/usr/lib/python3/dist-packages/pandas/tests/dtypes/test_dtypes.py:50:
AssertionError
____________________ TestIntervalDtype.test_numpy_informed
_____________________
self = <pandas.tests.dtypes.test_dtypes.TestIntervalDtype object at
0x7f9877aa4520>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E TypeError: Cannot interpret 'interval[int64]' as a data type
/usr/lib/python3/dist-packages/pandas/tests/dtypes/test_dtypes.py:50:
TypeError
During handling of the above exception, another exception occurred:
self = <pandas.tests.dtypes.test_dtypes.TestIntervalDtype object at
0x7f9877aa4520>
def test_numpy_informed(self):
with pytest.raises(TypeError, match="data type not understood"):
> np.dtype(self.dtype)
E AssertionError: Pattern 'data type not understood' not found
in "Cannot interpret 'interval[int64]' as a data type"
signature.asc
Description: OpenPGP digital signature
--- End Message ---
--- Begin Message ---
Source: pandas
Source-Version: 0.25.3+dfsg2-3
Done: rebecca_pal...@zoho.com (Rebecca N. Palmer)
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 963...@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, 28 Jun 2020 21:47:22 +0100
Source: pandas
Architecture: source
Version: 0.25.3+dfsg2-3
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: 963817
Changes:
pandas (0.25.3+dfsg2-3) unstable; urgency=medium
.
* Nested DataFrames may raise ValueError with numpy 1.19
(upstream bug 32289). Clarify error message and xfail tests.
* Stop using a no-longer-existing numpy constant.
* Tests: ignore deprecations/rewordings and avoid setup exception
with numpy 1.19. (Together, the above Closes: #963817)
* Bump debhelper compat to 13.
* Fix HDFStore.flush (part of #877419) on s390x.
* Add NEWS.html.gz for Standards-Version 4.5.0.
(Choosing not to also add NEWS.gz as it would be large.)
* Tests: accept Hurd's errno and lack of multiprocessing.
* Docs: replace embedded Javascript copies with links.
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