Re: [Numpy-discussion] Numpy 1.9 release date
On Fri, Nov 8, 2013 at 8:22 PM, Charles R Harris charlesr.har...@gmail.comwrote: Hi All, The question has come up as to how much effort we should spend backporting fixes to 1.8.x. An alternative would be to tag 1.9.0 early next year, aiming for a release around April. I think there is almost enough in 1.9-devel to justify a release. There is Sebastian's index work, Julian's continuing work on speedups, the removal of oldnumeric and numarray support, and various other deprecations and cleanups that add up to a significant number of changes. I've tended to think of 1.9 as a cleanup and consolidation release Makes sense. and think that the main thing missing at this point is fixing the datetime problems. Is anyone planning to work on this? If yes, you need a rough estimate of when this is ready to go. If no, it needs to be decided if this is critical for the release. From the previous discussion I tend to think so. If it's critical but no one does it, why plan a release... A suggestion for backporting strategy: do not backport things that have just been merged. Because (a) doing it PR by PR gives a lot of overhead, and (b) if the commit causes issues that have to be fixed or reverted, you have to fix things twice. Instead, just keep a list of backport candidates in a github issue, then do it all at once when it's clear that a bugfix release is needed. Ralf ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] ANN: NumPy 1.7.2rc1 release
On Wed, Nov 6, 2013 at 6:41 AM, Orion Poplawski or...@cora.nwra.com wrote: On 11/3/2013 9:42 AM, Julian Taylor wrote: Hi all, I'm happy to announce the release candidate of Numpy 1.7.2. This is a bugfix only release supporting Python 2.4 - 2.7 and 3.1 - 3.3. More than 37 issues were fixed, the most important issues are listed in the release notes: https://github.com/numpy/numpy/blob/v1.7.2rc1/doc/release/1.7.2-notes.rst It is supposed to not break any existing code, so please test the releases and report any issues you find. Builds and tests okay on Fedora 20. Tested scipy and statsmodels master with Python 2.7 on Ubuntu 13.10, all OK. Cheers, Ralf ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Numpy 1.9 release date
Ralf Gommers ralf.gommers at gmail.com writes:
On Fri, Nov 8, 2013 at 8:22 PM, Charles R Harris charlesr.harris at
gmail.com wrote:
and think that the main thing missing at this point is fixing the datetime
problems.
Is anyone planning to work on this? If yes, you need a rough estimate of
when this is ready to go. If no, it needs to be decided if this is critical
for the release. From the previous discussion I tend to think so. If it's
critical but no one does it, why plan a release...
Ralf
Just want to pipe up here as to the criticality of datetime bug.
Below is a minimal example from some data analysis code I found in our
company that was giving incorrect results (fortunately it was caught by
thorough testing):
In [110]: records = [
...: ('2014-03-29 23:00:00', '2014-03-29 23:00:00'),
...: ('2014-03-30 00:00:00', '2014-03-30 00:00:00'),
...: ('2014-03-30 01:00:00', '2014-03-30 01:00:00'),
...: ('2014-03-30 02:00:00', '2014-03-30 02:00:00'),
...: ('2014-03-30 03:00:00', '2014-03-30 03:00:00'),
...: ('2014-10-25 23:00:00', '2014-10-25 23:00:00'),
...: ('2014-10-26 00:00:00', '2014-10-26 00:00:00'),
...: ('2014-10-26 01:00:00', '2014-10-26 01:00:00'),
...: ('2014-10-26 02:00:00', '2014-10-26 02:00:00'),
...: ('2014-10-26 03:00:00', '2014-10-26 03:00:00')]
...:
...:
...: data = np.asarray(records, dtype=[('date obj', 'M8[h]'), ('str
repr', object)])
...: df = pd.DataFrame(data)
In [111]: df
Out[111]:
date obj str repr
0 2014-03-29 23:00:00 2014-03-29 23:00:00
1 2014-03-30 00:00:00 2014-03-30 00:00:00
2 2014-03-30 00:00:00 2014-03-30 01:00:00
3 2014-03-30 01:00:00 2014-03-30 02:00:00
4 2014-03-30 02:00:00 2014-03-30 03:00:00
5 2014-10-25 22:00:00 2014-10-25 23:00:00
6 2014-10-25 23:00:00 2014-10-26 00:00:00
7 2014-10-26 01:00:00 2014-10-26 01:00:00
8 2014-10-26 02:00:00 2014-10-26 02:00:00
9 2014-10-26 03:00:00 2014-10-26 03:00:00
Note the local timezone adjusted `date obj` including the duplicate value at
the clock-change in March and the missing value at the clock-change in
October. As you can imagine this could very easily lead to incorrect
analysis.
If running this exact same code in the (Eastern) US you'd see the following
results:
date obj str repr
0 2014-03-30 03:00:00 2014-03-29 23:00:00
1 2014-03-30 04:00:00 2014-03-30 00:00:00
2 2014-03-30 05:00:00 2014-03-30 01:00:00
3 2014-03-30 06:00:00 2014-03-30 02:00:00
4 2014-03-30 07:00:00 2014-03-30 03:00:00
5 2014-10-26 03:00:00 2014-10-25 23:00:00
6 2014-10-26 04:00:00 2014-10-26 00:00:00
7 2014-10-26 05:00:00 2014-10-26 01:00:00
8 2014-10-26 06:00:00 2014-10-26 02:00:00
9 2014-10-26 07:00:00 2014-10-26 03:00:00
Unfortunately I don't have the skills to meaningfully contribute in this
area but it is a very real problem for users of numpy, many of whom are not
active on the mailing list.
HTH,
Dave
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Re: [Numpy-discussion] ANN: NumPy 1.7.2rc1 release
On 11/10/2013 8:58 AM, Ralf Gommers wrote: On Wed, Nov 6, 2013 at 6:41 AM, Orion Poplawski or...@cora.nwra.com mailto:or...@cora.nwra.com wrote: On 11/3/2013 9:42 AM, Julian Taylor wrote: Hi all, I'm happy to announce the release candidate of Numpy 1.7.2. This is a bugfix only release supporting Python 2.4 - 2.7 and 3.1 - 3.3. More than 37 issues were fixed, the most important issues are listed in the release notes: https://github.com/numpy/numpy/blob/v1.7.2rc1/doc/release/1.7.2-notes.rst It is supposed to not break any existing code, so please test the releases and report any issues you find. Builds and tests okay on Fedora 20. Tested scipy and statsmodels master with Python 2.7 on Ubuntu 13.10, all OK. Cheers, Ralf All OK on Windows with msvc9 10, MKL 11.1, Python 2.6-3.3, 32 64 bit. Christoph ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] ANN: NumPy 1.7.2rc1 release
Am 03.11.13 13:42, schrieb Julian Taylor: Hi all, I'm happy to announce the release candidate of Numpy 1.7.2. This is a bugfix only release supporting Python 2.4 - 2.7 and 3.1 - 3.3. More than 37 issues were fixed, the most important issues are listed in the release notes: https://github.com/numpy/numpy/blob/v1.7.2rc1/doc/release/1.7.2-notes.rst It is supposed to not break any existing code, so please test the releases and report any issues you find. Source tarballs and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.7.2rc1/. Currently only Windows installers are available. OS X installer will follow soon. On OSX compilation succeeds (with some errors though) but test() fails. Attached is the full output. Christian Python 2.7.5 |Anaconda 1.6.1 (x86_64)| (default, Jun 28 2013, 22:20:13) [GCC 4.0.1 (Apple Inc. build 5493)] on darwin Type help, copyright, credits or license for more information. import numpy numpy.__version__ '1.7.2rc1' numpy.test() Running unit tests for numpy NumPy version 1.7.2rc1 NumPy is installed in /Users/ck/anaconda/lib/python2.7/site-packages/numpy Python version 2.7.5 |Anaconda 1.6.1 (x86_64)| (default, Jun 28 2013, 22:20:13) [GCC 4.0.1 (Apple Inc. build 5493)] nose version 1.3.0
Re: [Numpy-discussion] ANN: NumPy 1.7.2rc1 release
Am 10.11.13 21:06, schrieb Christian K.: Am 03.11.13 13:42, schrieb Julian Taylor: Hi all, I'm happy to announce the release candidate of Numpy 1.7.2. This is a bugfix only release supporting Python 2.4 - 2.7 and 3.1 - 3.3. More than 37 issues were fixed, the most important issues are listed in the release notes: https://github.com/numpy/numpy/blob/v1.7.2rc1/doc/release/1.7.2-notes.rst It is supposed to not break any existing code, so please test the releases and report any issues you find. Source tarballs and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.7.2rc1/. Currently only Windows installers are available. OS X installer will follow soon. On OSX compilation succeeds (with some errors though) but test() fails. Attached is the full output. I just realised that setup.py picked up gcc 4.0. Anyway, after switching to 4.2 the tests still fail. Christian ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] ANN: NumPy 1.7.2rc1 release
Hi Christian On Sun, 10 Nov 2013 21:06:00 -0300, Christian K. wrote: On OSX compilation succeeds (with some errors though) but test() fails. Do you have the build log available as well? Thanks Stéfan ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] ANN: NumPy 1.7.2rc1 release
On Sun, Nov 10, 2013 at 5:12 PM, Christian K. ckk...@hoc.net wrote: Am 10.11.13 21:06, schrieb Christian K.: Am 03.11.13 13:42, schrieb Julian Taylor: Hi all, I'm happy to announce the release candidate of Numpy 1.7.2. This is a bugfix only release supporting Python 2.4 - 2.7 and 3.1 - 3.3. More than 37 issues were fixed, the most important issues are listed in the release notes: https://github.com/numpy/numpy/blob/v1.7.2rc1/doc/release/1.7.2-notes.rst It is supposed to not break any existing code, so please test the releases and report any issues you find. Source tarballs and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.7.2rc1/. Currently only Windows installers are available. OS X installer will follow soon. On OSX compilation succeeds (with some errors though) but test() fails. Attached is the full output. I just realised that setup.py picked up gcc 4.0. Anyway, after switching to 4.2 the tests still fail. Looks like your tests might be left over from 1.8. Try cleaning out the install and build directories and doing a clean install. Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Numpy 1.9 release date
On 9 Nov 2013 03:22, Charles R Harris charlesr.har...@gmail.com wrote: that the main thing missing at this point is fixing the datetime problems. What needs to be done, and what is the plan forward? Is there perhaps an issue one can follow? Thanks Stéfan ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
