[Numpy-discussion] NumPy 1.12.1 released

2017-03-18 Thread Charles R Harris
Hi All, I'm pleased to announce the release of NumPy 1.12.1. NumPy 1.12.1 supports Python 2.7 and 3.4 - 3.6 and fixes bugs and regressions found in NumPy 1.12.0. In particular, the regression in f2py constant parsing is fixed. Wheels for Linux, Windows, and OSX can be found on pypi. Archives can

Re: [Numpy-discussion] ANN: xtensor 0.7.1 numpy-style syntax in C++ with bindings to numpy arrays

2017-03-17 Thread Charles R Harris
On Fri, Mar 17, 2017 at 7:18 AM, Sylvain Corlay wrote: > Hi All, > > On behalf of the xtensor development team, I am pleased to announce the > releases of > > - xtensor 0.7.1 https://github.com/QuantStack/xtensor/ > - xtensor-python 0.6.0

[Numpy-discussion] NumPy pre-release 1.12.1rc1

2017-03-06 Thread Charles R Harris
Hi All, I'm pleased to announce the release of NumPy 1.12.1rc1. NumPy 1.12.1rc1 supports Python 2.7 and 3.4 - 3.6 and fixes bugs and regressions found in NumPy 1.12.0. In particular, the regression in f2py constant parsing is fixed. Wheels for Linux, Windows, and OSX can be found on pypi.

Re: [Numpy-discussion] automatically avoiding temporary arrays

2017-02-27 Thread Charles R Harris
On Mon, Feb 27, 2017 at 11:43 AM, Benjamin Root wrote: > What's the timeline for the next release? I have the perfect usecase for > this (Haversine calculation on large arrays that takes up ~33% of one of my > processing scripts). However, to test it out, I have a huge

Re: [Numpy-discussion] Removal of some numpy files

2017-02-25 Thread Charles R Harris
On Sat, Feb 25, 2017 at 2:34 PM, Matthew Brett wrote: > On Sat, Feb 25, 2017 at 7:48 AM, David Cournapeau > wrote: > > tools/win32build is used to build the so-called superpack installers, > which > > we don't build anymore AFAIK > > > >

[Numpy-discussion] Removal of some numpy files

2017-02-25 Thread Charles R Harris
Hi All, While looking through the numpy tools directory I noticed some scripts that look outdated that might be candidates for removal: 1. tools/numpy-macosx-installer/ 2. tools/win32build/ Does anyone know if either of those are stlll relevant? Cheers, Chuck

Re: [Numpy-discussion] Could we simplify backporting?

2017-02-24 Thread Charles R Harris
On Fri, Feb 24, 2017 at 8:00 AM, Evgeni Burovski wrote: > > I really don't like the double work and the large amount of noise coming > > from backporting every other PR to NumPy very quickly. For SciPy the > policy > > is: > > - anyone can set the

[Numpy-discussion] Eric Wieser added to NumPy team.

2017-02-18 Thread Charles R Harris
Hi All, I'm pleased to welcome Eric to the NumPy team. There is a pile of pending PRs that grows every day and we are counting on Eric will help us keep it in check ;) Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org

[Numpy-discussion] Marten van Kerkwijk added to numpy team.

2017-02-13 Thread Charles R Harris
Hi All, I'm pleased to welcome Marten to the numpy team. His reviews of PRs have been very useful in the past and I am happy that he has accepted our invitation to join the team. Cheers, Chuck ___ NumPy-Discussion mailing list

Re: [Numpy-discussion] question about long doubles on ppc64el

2017-01-16 Thread Charles R Harris
On Sun, Jan 15, 2017 at 11:00 PM, Thomas Caswell wrote: > Folks, > > Over at h5py we are trying to get a release out and have discovered (via > debian) that on ppc64el there is an apparent disagreement between the size > of a native long double according to hdf5 and numpy. >

[Numpy-discussion] NumPy 1.12.0 release

2017-01-15 Thread Charles R Harris
Hi All, I'm pleased to announce the NumPy 1.12.0 release. This release supports Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be downloaded from PiPY , the tarball and zip files may be downloaded from Github

Re: [Numpy-discussion] Deprecating matrices.

2017-01-07 Thread Charles R Harris
On Sat, Jan 7, 2017 at 5:31 PM, CJ Carey wrote: > I agree with Ralf; coupling these changes to sparse is a bad idea. > > I think that scipy.sparse will be an important consideration during the > deprecation process, though, perhaps as an indicator of how painful the >

Re: [Numpy-discussion] Deprecating matrices.

2017-01-07 Thread Charles R Harris
On Sat, Jan 7, 2017 at 4:51 PM, Ralf Gommers <ralf.gomm...@gmail.com> wrote: > > > On Sun, Jan 8, 2017 at 12:42 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sat, Jan 7, 2017 at 4:35 PM, Ralf Gommers <ralf.gomm...@gmail.c

Re: [Numpy-discussion] Deprecating matrices.

2017-01-07 Thread Charles R Harris
On Sat, Jan 7, 2017 at 4:35 PM, Ralf Gommers <ralf.gomm...@gmail.com> wrote: > > > On Sun, Jan 8, 2017 at 12:26 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sat, Jan 7, 2017 at 2:29 PM, Ralf Gommers <ralf.gomm...@gma

Re: [Numpy-discussion] Deprecating matrices.

2017-01-07 Thread Charles R Harris
On Sat, Jan 7, 2017 at 2:29 PM, Ralf Gommers wrote: > > > On Sun, Jan 8, 2017 at 9:31 AM, Todd wrote: > >> >> >> On Jan 6, 2017 20:28, "Ralf Gommers" wrote: >> >> >> >> On Sat, Jan 7, 2017 at 2:21 PM, CJ Carey

Re: [Numpy-discussion] Deprecating matrices.

2017-01-06 Thread Charles R Harris
On Fri, Jan 6, 2017 at 6:37 PM, wrote: > > > > On Fri, Jan 6, 2017 at 8:28 PM, Ralf Gommers > wrote: > >> >> >> On Sat, Jan 7, 2017 at 2:21 PM, CJ Carey >> wrote: >> >>> >>> On Fri, Jan 6, 2017 at 6:19 PM, Ralf Gommers

Re: [Numpy-discussion] Default type for functions that accumulate integers

2017-01-03 Thread Charles R Harris
On Tue, Jan 3, 2017 at 10:08 AM, Sebastian Berg <sebast...@sipsolutions.net> wrote: > On Mo, 2017-01-02 at 18:46 -0800, Nathaniel Smith wrote: > > On Mon, Jan 2, 2017 at 6:27 PM, Charles R Harris > > <charlesr.har...@gmail.com> wrote: > > > > > > Hi Al

Re: [Numpy-discussion] Deprecating matrices.

2017-01-02 Thread Charles R Harris
On Mon, Jan 2, 2017 at 8:29 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Mon, Jan 2, 2017 at 7:12 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > > > > > On Mon, Jan 2, 2017 at 7:26 PM, <josef.p...@gmail.com> wrote: > [...] > &g

Re: [Numpy-discussion] Deprecating matrices.

2017-01-02 Thread Charles R Harris
On Mon, Jan 2, 2017 at 8:12 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > On Mon, Jan 2, 2017 at 7:26 PM, <josef.p...@gmail.com> wrote: > >> >> >> On Mon, Jan 2, 2017 at 9:00 PM, Ralf Gommers <ralf.gomm...@gmail.com> >> wrote:

Re: [Numpy-discussion] Deprecating matrices.

2017-01-02 Thread Charles R Harris
On Mon, Jan 2, 2017 at 7:26 PM, <josef.p...@gmail.com> wrote: > > > On Mon, Jan 2, 2017 at 9:00 PM, Ralf Gommers <ralf.gomm...@gmail.com> > wrote: > >> >> >> On Tue, Jan 3, 2017 at 2:36 PM, Charles R Harris < >> charlesr.har...@gmail.com&g

[Numpy-discussion] Default type for functions that accumulate integers

2017-01-02 Thread Charles R Harris
Hi All, Currently functions like trace use the C long type as the default accumulator for integer types of lesser precision: dtype : dtype, optional > Determines the data-type of the returned array and of the accumulator > where the elements are summed. If dtype has the value None and

[Numpy-discussion] Deprecating matrices.

2017-01-02 Thread Charles R Harris
Hi All, Just throwing this click bait out for discussion. Now that the `@` operator is available and things seem to be moving towards Python 3, especially in the classroom, we should consider the real possibility of deprecating the matrix type and later removing it. No doubt there are old scripts

[Numpy-discussion] NumPy 1.12.0rc2 release.

2017-01-01 Thread Charles R Harris
Hi All, I'm pleased to announce the NumPy 1.12.0rc2 New Year's release. This release supports Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be downloaded from PiPY , the tarball and zip files may be downloaded from

[Numpy-discussion] NumPy 1.12.0rc1

2016-12-19 Thread Charles R Harris
Hi All, I am pleased to announce the release of NumPy 1.12.0rc1. This release supports Python 2.7 and 3.4 - 3.6 and is the result of 406 pull requests submitted by 139 contributors and comprises a large number of fixes and improvements. Among the many improvements it is difficult to pick out

[Numpy-discussion] NumPy 1.11.3 release.

2016-12-18 Thread Charles R Harris
Hi All, I'm please to annouce the release of NumPy 1.11.3. This is a one bug fix release to take care of a bug that could corrupt large files opened in append mode and then used as an argument to ndarray.tofile. Thanks to Pavel Potocek for the fix. Cheers, Chuck -BEGIN PGP SIGNED

Re: [Numpy-discussion] PyPI source files.

2016-12-18 Thread Charles R Harris
On Sun, Dec 18, 2016 at 6:39 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Sun, Dec 18, 2016 at 5:21 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > Hi All, > > > > It seems that PyPI will only accept one source file at this time, e.g., &

[Numpy-discussion] PyPI source files.

2016-12-18 Thread Charles R Harris
Hi All, It seems that PyPI will only accept one source file at this time, e.g., numpy-1.11.3.zip and numpy-1.11.3.tar.gz are considered duplicates. Does anyone know if this is intentional or a bug on the PyPI end? It makes sense in a screwy sort of way. Chuck

[Numpy-discussion] NumPy 1.12.0b1 released.

2016-11-16 Thread Charles R Harris
Hi All, I'm pleased to annouce the release of NumPy 1.12.0b1. This release supports Python 2.7 and 3.4 - 3.6 and is the result of 388 pull requests submitted by 133 contributors. It is quite sizeable and rather than put the release notes inline I've attached them as a file and they may also be

Re: [Numpy-discussion] Numpy 1.12.x branched

2016-11-10 Thread Charles R Harris
On Thu, Nov 10, 2016 at 9:06 AM, Frédéric Bastien < frederic.bast...@gmail.com> wrote: > My change about numpy.mean in float16 aren't in the doc. > > Should I make a PR again numpy master or maintenance/1.12.x? > Make it against master. I may cut and paste the content into a bigger PR I will

Re: [Numpy-discussion] Numpy 1.12.x branched

2016-11-07 Thread Charles R Harris
ion@scipy.org >> Subject: Re: [Numpy-discussion] Numpy 1.12.x branched >> Message-ID:<1478451372.3875.5.ca...@sipsolutions.net> >> Content-Type: text/plain; charset="utf-8" >> >> On Sa, 2016-11-05 at 17:04 -0600, Charles R Harris wrote: >> >>>

Re: [Numpy-discussion] __numpy_ufunc__

2016-11-07 Thread Charles R Harris
On Mon, Nov 7, 2016 at 1:08 AM, Ralf Gommers <ralf.gomm...@gmail.com> wrote: > > > On Mon, Nov 7, 2016 at 9:10 AM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sun, Nov 6, 2016 at 11:44 AM, Charles R Harris < &g

Re: [Numpy-discussion] __numpy_ufunc__

2016-11-06 Thread Charles R Harris
On Sun, Nov 6, 2016 at 11:44 AM, Charles R Harris <charlesr.har...@gmail.com > wrote: > Hi All, > > For those interested in continuing the __numpy_ufunc__ saga, there is a pull > request enabling it <https://github.com/numpy/numpy/pull/8247>. Likely we > will want to

[Numpy-discussion] __numpy_ufunc__

2016-11-06 Thread Charles R Harris
Hi All, For those interested in continuing the __numpy_ufunc__ saga, there is a pull request enabling it . Likely we will want to make some changes up front before merging that, so some discussion is in order. Chuck

[Numpy-discussion] Numpy 1.12.x branched

2016-11-05 Thread Charles R Harris
Hi All, Numpy 1.12.x has been branched and the 1.13 development branch is open. It would be helpful if folks could review the release notes as it is likely I've missed something. I'd like to make the first beta release in a couple of days. Chuck ___

[Numpy-discussion] Branching NumPy 1.12.x

2016-11-03 Thread Charles R Harris
Hi All, I'm thinking that it is time to branch NumPy 1.12.x. I haven't got everything in it that I would have liked, in particular __numpy_ufunc__, but I think there is plenty of material and not branching is holding up some of the more risky stuff. My current thoughts on __numpy_ufunc__ is that

Re: [Numpy-discussion] Using numpy.rint() with scalars

2016-11-03 Thread Charles R Harris
On Thu, Nov 3, 2016 at 9:17 AM, Yuri Sukhov wrote: > Hi all, > > According to the documentation for numpy.rint() ( > https://docs.scipy.org/doc/numpy/reference/generated/numpy.rint.html), > it's a ufunc that accepts an array-like object as an input. > > But it also works

Re: [Numpy-discussion] missing from contributor list?

2016-11-02 Thread Charles R Harris
On Wed, Nov 2, 2016 at 4:38 PM, Sturla Molden wrote: > Why am I missing from the contributor hist here? > > https://github.com/numpy/numpy/blob/master/numpy/_ > build_utils/src/apple_sgemv_fix.c > > > You still show up in the commit log of if you follow the file ``` git

Re: [Numpy-discussion] __numpy_ufunc__

2016-10-31 Thread Charles R Harris
On Mon, Oct 31, 2016 at 11:39 AM, Stephan Hoyer wrote: > Recall that I think we wanted to rename this to __array_ufunc__, so we > could change the function signature: https://github.com/numpy/ > numpy/issues/5986 > > I'm still a little nervous about this. Chunk -- what is your

Re: [Numpy-discussion] __numpy_ufunc__

2016-10-31 Thread Charles R Harris
On Mon, Oct 31, 2016 at 11:08 AM, Marten van Kerkwijk < m.h.vankerkw...@gmail.com> wrote: > Hi Chuck, > > I've revived my Quantity PRs that use __numpy_ufunc__ but is it > correct that at present in *dev, one cannot use it? > It's not enabled yet. Chuck

Re: [Numpy-discussion] __numpy_ufunc__

2016-10-29 Thread Charles R Harris
On Sat, Oct 29, 2016 at 7:03 PM, Stephan Hoyer wrote: > I'm happy to revisit the __numpy_ufunc__ discussion (I still want to see > it happen!), but I don't recall scalars being a point of contention. > The __numpy_ufunc__ functionality is the last bit I want for 1.12.0, the

[Numpy-discussion] __numpy_ufunc__

2016-10-29 Thread Charles R Harris
Hi All, Does anyone remember discussion of numpy scalars apropos __numpy_ufunc__? Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion

[Numpy-discussion] Numpy scalar integers to negative scalar integer powers.

2016-10-28 Thread Charles R Harris
Hi All, I've put up a PR to deal with the numpy scalar integer powers at https://github.com/numpy/numpy/pull/8221. Note that for now everything goes through the np.power function. Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org

Re: [Numpy-discussion] Numpy integers to integer powers again again

2016-10-26 Thread Charles R Harris
On Wed, Oct 26, 2016 at 1:39 PM, <josef.p...@gmail.com> wrote: > > > On Wed, Oct 26, 2016 at 3:23 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Tue, Oct 25, 2016 at 10:14 AM, Stephan Hoyer <sho...@gmail.com> wrote: &

Re: [Numpy-discussion] Numpy integers to integer powers again again

2016-10-26 Thread Charles R Harris
On Wed, Oct 26, 2016 at 1:39 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Wed, Oct 26, 2016 at 12:23 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > [...] > > What I have been concerned about are the follow combinations that > currently > > ret

Re: [Numpy-discussion] Numpy integers to integer powers again again

2016-10-26 Thread Charles R Harris
; > On Mon, Oct 24, 2016 at 4:30 PM, Nathaniel Smith <n...@pobox.com> wrote: > >> On Mon, Oct 24, 2016 at 3:41 PM, Charles R Harris >> <charlesr.har...@gmail.com> wrote: >> > Hi All, >> > >> > I've been thinking about this some (a lot) mor

Re: [Numpy-discussion] Intel random number package

2016-10-25 Thread Charles R Harris
On Tue, Oct 25, 2016 at 10:41 PM, Robert Kern <robert.k...@gmail.com> wrote: > On Tue, Oct 25, 2016 at 9:34 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > > > > Hi All, > > > > There is a proposed random number package PR now up on github:

[Numpy-discussion] Intel random number package

2016-10-25 Thread Charles R Harris
Hi All, There is a proposed random number package PR now up on github: https://github.com/numpy/numpy/pull/8209. It is from oleksandr-pavlyk and implements the number random number package using MKL for increased speed. I think we are definitely interested in

Re: [Numpy-discussion] fpower ufunc

2016-10-21 Thread Charles R Harris
On Fri, Oct 21, 2016 at 1:45 AM, Sebastian Berg <sebast...@sipsolutions.net> wrote: > On Do, 2016-10-20 at 21:38 -0600, Charles R Harris wrote: > > > > > > On Thu, Oct 20, 2016 at 9:11 PM, Nathaniel Smith <n...@pobox.com> > > wrote: > > > O

Re: [Numpy-discussion] fpower ufunc

2016-10-20 Thread Charles R Harris
On Thu, Oct 20, 2016 at 9:11 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Thu, Oct 20, 2016 at 7:58 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > Hi All, > > > > I've put up a preliminary PR for the proposed fpower ufunc. Apart from > >

[Numpy-discussion] fpower ufunc

2016-10-20 Thread Charles R Harris
Hi All, I've put up a preliminary PR for the proposed fpower ufunc. Apart from adding more tests and documentation, I'd like to settle a few other things. The first is the name, two names have been proposed and we should settle on one - fpower

[Numpy-discussion] assert_allclose equal_nan default value.

2016-10-20 Thread Charles R Harris
Hi All, Just a heads up that there is a PR changing the default value of `equal_nan` to `True` in the `assert_allclose` test function. The `equal_nan` argument was previously ineffective due to a bug that has recently been fixed. The current default value of `False` is not backward compatible and

Re: [Numpy-discussion] Integers to negative integer powers, time for a decision.

2016-10-08 Thread Charles R Harris
On Sat, Oct 8, 2016 at 1:31 PM, Krisztián Horváth wrote: > Hello, > > I think it should be consistent with Python3. So, it should give back a > float. > > Best regards, > Krisztian > > Can't do that and also return integers for positive powers. It isn't possible to have

Re: [Numpy-discussion] Integers to negative integer powers, time for a decision.

2016-10-08 Thread Charles R Harris
On Sat, Oct 8, 2016 at 9:12 AM, Nathaniel Smith <n...@pobox.com> wrote: > On Sat, Oct 8, 2016 at 6:59 AM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > > > > > On Sat, Oct 8, 2016 at 4:40 AM, Nathaniel Smith <n...@pobox.com> wrote: > >

Re: [Numpy-discussion] Integers to negative integer powers, time for a decision.

2016-10-08 Thread Charles R Harris
On Sat, Oct 8, 2016 at 4:40 AM, Nathaniel Smith <n...@pobox.com> wrote: > On Fri, Oct 7, 2016 at 6:12 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > Hi All, > > > > The time for NumPy 1.12.0 approaches and I like to have a final decisio

[Numpy-discussion] Integers to negative integer powers, time for a decision.

2016-10-07 Thread Charles R Harris
Hi All, The time for NumPy 1.12.0 approaches and I like to have a final decision on the treatment of integers to negative integer powers with the `**` operator. The two alternatives looked to be *Raise an error for arrays and numpy scalars, including 1 and -1 to negative powers.* *Pluses* -

Re: [Numpy-discussion] Dropping sourceforge for releases.

2016-10-03 Thread Charles R Harris
On Sun, Oct 2, 2016 at 5:53 PM, Vincent Davis <vinc...@vincentdavis.net> wrote: > +1, I am very skeptical of anything on SourceForge, it negatively impacts > my opinion of any project that requires me to download from sourceforge. > > > On Saturday, October 1, 2016, Charles R

[Numpy-discussion] Dropping sourceforge for releases.

2016-10-01 Thread Charles R Harris
Hi All, Ralf has suggested dropping sourceforge as a NumPy release site. There was discussion of doing that some time back but we have not yet done it. Now that we put wheels up on PyPI for all supported architectures source forge is not needed. I note that there are still some 15,000 downloads a

Re: [Numpy-discussion] Vendorize tempita

2016-09-30 Thread Charles R Harris
On Fri, Sep 30, 2016 at 10:36 AM, Charles R Harris < charlesr.har...@gmail.com> wrote: > > > On Fri, Sep 30, 2016 at 10:10 AM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Fri, Sep 30, 2016 at 9:48 AM, Evgeni Burovski < >

Re: [Numpy-discussion] Vendorize tempita

2016-09-30 Thread Charles R Harris
On Fri, Sep 30, 2016 at 10:10 AM, Charles R Harris < charlesr.har...@gmail.com> wrote: > > > On Fri, Sep 30, 2016 at 9:48 AM, Evgeni Burovski < > evgeny.burovs...@gmail.com> wrote: > >> On Fri, Sep 30, 2016 at 6:29 PM, Charles R Harris >> <charlesr.har.

Re: [Numpy-discussion] Vendorize tempita

2016-09-30 Thread Charles R Harris
On Fri, Sep 30, 2016 at 9:48 AM, Evgeni Burovski <evgeny.burovs...@gmail.com > wrote: > On Fri, Sep 30, 2016 at 6:29 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > > > > > On Fri, Sep 30, 2016 at 9:21 AM, Benjamin Root <ben.v.r...@gmail.com&

Re: [Numpy-discussion] Vendorize tempita

2016-09-30 Thread Charles R Harris
On Fri, Sep 30, 2016 at 9:21 AM, Benjamin Root wrote: > This is the first I am hearing of tempita (looks to be a templating > language). How is it a dependency of numpy? Do I now need tempita in order > to use numpy, or is it a build-time-only dependency? > Build time

Re: [Numpy-discussion] Vendorize tempita

2016-09-30 Thread Charles R Harris
On Fri, Sep 30, 2016 at 9:13 AM, Stephan Hoyer wrote: > One way to do this is to move to vendorized dependencies into an submodule > of numpy itself (e.g., sklearn.externals.joblib, though maybe even a little > more indirection than that would be valuable to make it clear that

[Numpy-discussion] Vendorize tempita

2016-09-30 Thread Charles R Harris
Hi All, There is a PR to vendorize tempita. This removes tempita as a dependency and simplifies some things. Feedback on this step is welcome. One question is whether the package should be renamed to something like `npy_tempita`, as otherwise installed

[Numpy-discussion] testing

2016-09-26 Thread Charles R Harris
Testing if this gets posted... Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion

[Numpy-discussion] NumPy 1.11.2rc1

2016-09-12 Thread Charles R Harris
Hi All, I'm pleased to announce the release of Numpy 1.11.2rc1. This release supports Python 2.6 - 2.7, and 3.2 - 3.5 and fixes bugs and regressions found in Numpy 1.11.1. Wheels for Linux, Windows, and OSX can be found on PyPI. Sources are available on both PyPI and Sourceforge

[Numpy-discussion] gmane

2016-09-09 Thread Charles R Harris
Hi All, Looks like gmane is going down . Does anyone know of an alternative for searching and referencing the NumPy mail archives? Chuck ___ NumPy-Discussion mailing list

Re: [Numpy-discussion] Numpy 1.11.2

2016-09-09 Thread Charles R Harris
On Fri, Sep 9, 2016 at 1:20 AM, Sandro Tosi wrote: > what is the status for this? i checked on GH and > https://github.com/numpy/numpy/milestone/43 seems to report no issue > pending. the reason i'm asking is that i still have to package 1.11.1 > for debian, but i dont want to

[Numpy-discussion] Correct error of invalid axis arguments.

2016-09-05 Thread Charles R Harris
Hi All, At the moment there are two error types raised when invalid axis arguments are encountered: IndexError and ValueError. I prefer ValueError for arguments, IndexError seems more appropriate when the bad axis value is used as an index. In any case, having mixed error types is inconvenient,

Re: [Numpy-discussion] numpy.distutils issue

2016-08-24 Thread Charles R Harris
On Wed, Aug 24, 2016 at 5:05 PM, Charles R Harris <charlesr.har...@gmail.com > wrote: > > > On Wed, Aug 24, 2016 at 1:41 PM, Pavlyk, Oleksandr < > oleksandr.pav...@intel.com> wrote: > >> Hi All, >> >> >> >> According to the documenta

Re: [Numpy-discussion] numpy.distutils issue

2016-08-24 Thread Charles R Harris
On Wed, Aug 24, 2016 at 1:41 PM, Pavlyk, Oleksandr < oleksandr.pav...@intel.com> wrote: > Hi All, > > > > According to the documentation page: > > > >http://docs.scipy.org/doc/numpy/reference/distutils.html > > > > Function add_library allows the following keywords: > >

Re: [Numpy-discussion] Numpy 1.11.2

2016-08-14 Thread Charles R Harris
gt; > On Wed, Aug 3, 2016 at 9:09 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > Hi All, > > > > I would like to release Numpy 1.11.2rc1 this weekend. It will contain a > few > > small fixes and enhancements for windows and the last Scipy re

[Numpy-discussion] Numpy 1.11.2

2016-08-03 Thread Charles R Harris
Hi All, I would like to release Numpy 1.11.2rc1 this weekend. It will contain a few small fixes and enhancements for windows and the last Scipy release. If there are any pending PRs that you think should go in or be backported for this release, please speak up. Chuck

Re: [Numpy-discussion] StackOverflow documentation

2016-07-21 Thread Charles R Harris
On Thu, Jul 21, 2016 at 5:47 AM, Jaime Fernández del Río < jaime.f...@gmail.com> wrote: > StackOverflow now also has documentation, and there already is a NumPy tag: > > http://stackoverflow.com/documentation/numpy > > Not sure what, if anything, do we want to do with this, nor how to handle >

Re: [Numpy-discussion] Custom Dtype/Units discussion

2016-07-13 Thread Charles R Harris
Evening would work for me. Dinner? On Jul 13, 2016 2:43 PM, "Ryan May" wrote: > On Mon, Jul 11, 2016 at 12:39 PM, Chris Barker > wrote: > >> >> >> On Sun, Jul 10, 2016 at 8:12 PM, Nathan Goldbaum >> wrote: >> >>> >>> Maybe this

Re: [Numpy-discussion] Custom Dtype/Units discussion

2016-07-11 Thread Charles R Harris
On Mon, Jul 11, 2016 at 11:39 AM, Chris Barker wrote: > > > On Sun, Jul 10, 2016 at 8:12 PM, Nathan Goldbaum > wrote: > >> >> Maybe this can be an informal BOF session? >> > > or maybe a formal BoF? after all, how formal do they get? > > Anyway, it

Re: [Numpy-discussion] Custom Dtype/Units discussion

2016-07-10 Thread Charles R Harris
On Sun, Jul 10, 2016 at 12:20 AM, Nathaniel Smith wrote: > Hi Ryan, > > I'll be and SciPy and I'd love to talk about this :-). Things are a > bit hectic for me on Mon/Tue/Wed between the Python Compilers Workshop > and my talk, but do you want to meet up Thursday maybe? > > I'll

Re: [Numpy-discussion] Accelerate or OpenBLAS for numpy / scipy wheels?

2016-06-28 Thread Charles R Harris
On Mon, Jun 27, 2016 at 9:46 PM, Matthew Brett wrote: > Hi, > > I just succeeded in getting an automated dual arch build of numpy and > scipy, using OpenBLAS. See the last three build jobs in these two > build matrices: > >

[Numpy-discussion] Numpy 1.11.1 release

2016-06-26 Thread Charles R Harris
Hi All, I'm pleased to announce the release of Numpy 1.11.1. This release supports Python 2.6 - 2.7, and 3.2 - 3.5 and fixes bugs and regressions found in Numpy 1.11.0 as well as making several build related improvements. Wheels for Linux, Windows, and OSX can be found on PyPI. Sources are

[Numpy-discussion] block function

2016-06-21 Thread Charles R Harris
Hi All, I've updated Stefan Otte's block function enhancement at https://github.com/numpy/numpy/pull/7768. Could folks interested in that function review the proposed grammar for the creation of blocked arrays. Chuck ___ NumPy-Discussion mailing list

Re: [Numpy-discussion] Design feedback solicitation

2016-06-17 Thread Charles R Harris
On Fri, Jun 17, 2016 at 9:22 AM, Robert Kern wrote: > On Fri, Jun 17, 2016 at 4:08 PM, Pavlyk, Oleksandr < > oleksandr.pav...@intel.com> wrote: > > > > Hi, > > > > I am new to this list, so I will start with an introduction. My name is > Oleksandr Pavlyk. I now work at

Re: [Numpy-discussion] Integers to integer powers, let's make a decision

2016-06-06 Thread Charles R Harris
On Mon, Jun 6, 2016 at 2:11 PM, Marten van Kerkwijk < m.h.vankerkw...@gmail.com> wrote: > Hi Chuck, > > I consider either proposal an improvement, but among the two I favour > returning float for `**`, because, like for `/`, it ensures one gets > closest to the (mathematically) true answer in

Re: [Numpy-discussion] ENH: compute many inner products quickly

2016-06-05 Thread Charles R Harris
On Sun, Jun 5, 2016 at 6:41 PM, Stephan Hoyer wrote: > If possible, I'd love to add new functions for "generalized ufunc" linear > algebra, and then deprecate (or at least discourage) using the older > versions with inferior broadcasting rules. Adding a new keyword arg means >

Re: [Numpy-discussion] Integers to integer powers, let's make a decision

2016-06-04 Thread Charles R Harris
On Sat, Jun 4, 2016 at 9:26 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Jun 4, 2016 7:23 PM, "Charles R Harris" <charlesr.har...@gmail.com> > wrote: > > > [...] > > We could always try the float option and see what breaks, but I expect > there

Re: [Numpy-discussion] Integers to integer powers, let's make a decision

2016-06-04 Thread Charles R Harris
On Sat, Jun 4, 2016 at 7:54 PM, <josef.p...@gmail.com> wrote: > > > On Sat, Jun 4, 2016 at 9:16 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sat, Jun 4, 2016 at 6:17 PM, <josef.p...@gmail.com> wrote: >> >

Re: [Numpy-discussion] Integers to integer powers, let's make a decision

2016-06-04 Thread Charles R Harris
On Sat, Jun 4, 2016 at 6:17 PM, <josef.p...@gmail.com> wrote: > > > On Sat, Jun 4, 2016 at 8:07 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sat, Jun 4, 2016 at 5:27 PM, <josef.p...@gmail.com> wrote: >> >&

Re: [Numpy-discussion] Integers to integer powers, let's make a decision

2016-06-04 Thread Charles R Harris
On Sat, Jun 4, 2016 at 5:27 PM, wrote: > > > On Sat, Jun 4, 2016 at 6:10 PM, Nathaniel Smith wrote: > >> On Sat, Jun 4, 2016 at 2:07 PM, V. Armando Sole wrote: >> > Also in favor of 2. Always return a float for '**' >> >> Even if we did want

Re: [Numpy-discussion] Integers to integer powers, let's make a decision

2016-06-04 Thread Charles R Harris
On Sat, Jun 4, 2016 at 11:22 AM, Charles R Harris <charlesr.har...@gmail.com > wrote: > Hi All, > > I've made a new post so that we can make an explicit decision. AFAICT, the > two proposals are > > >1. Integers to negative integer powers raise an error. >

[Numpy-discussion] Integers to integer powers, let's make a decision

2016-06-04 Thread Charles R Harris
Hi All, I've made a new post so that we can make an explicit decision. AFAICT, the two proposals are 1. Integers to negative integer powers raise an error. 2. Integers to integer powers always results in floats. My own sense is that 1. would be closest to current behavior and using a

Re: [Numpy-discussion] Integers to integer powers

2016-06-04 Thread Charles R Harris
On Tue, May 24, 2016 at 2:33 PM, R Schumacher wrote: > At 01:15 PM 5/24/2016, you wrote: > > On 5/24/2016 3:57 PM, Eric Moore wrote: > > Changing np.arange(10)**3 to have a non-integer dtype seems like a big > change. > > > > What about np.arange(100)**5? > > > Interesting,

[Numpy-discussion] Numpy 1.11.1rc1 release

2016-05-26 Thread Charles R Harris
Hi All, I am pleased to announce the release of Numpy 1.11.1rc1. The sources may be found on sourceforge and wheels for OS X, Windows, and Linux will be available on pypi sometime in the next few days. The pypi release is delayed due

Re: [Numpy-discussion] Integers to integer powers

2016-05-20 Thread Charles R Harris
On Fri, May 20, 2016 at 1:15 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Fri, May 20, 2016 at 11:35 AM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > > > > > On Thu, May 19, 2016 at 9:30 PM, Nathaniel Smith <n...@pobox.com> wrote: &

Re: [Numpy-discussion] Integers to integer powers

2016-05-20 Thread Charles R Harris
On Fri, May 20, 2016 at 12:35 PM, Charles R Harris < charlesr.har...@gmail.com> wrote: > > > On Thu, May 19, 2016 at 9:30 PM, Nathaniel Smith <n...@pobox.com> wrote: > >> So I guess what makes this tricky is that: >> >> - We want the behavior to the s

Re: [Numpy-discussion] Integers to integer powers

2016-05-20 Thread Charles R Harris
On Thu, May 19, 2016 at 9:30 PM, Nathaniel Smith wrote: > So I guess what makes this tricky is that: > > - We want the behavior to the same for multiple-element arrays, > single-element arrays, zero-dimensional arrays, and scalars -- the > shape of the data shouldn't affect the

[Numpy-discussion] Integers to integer powers

2016-05-19 Thread Charles R Harris
Hi All, There are currently several pull requests apropos integer arrays/scalars to integer powers and, because the area is messy and involves tradeoffs, I'd like to see some discussion here on the list before proceeding. *Scalars in 1.10* In [1]: 1 ** -1 Out[1]: 1.0 In [2]: int16(1) ** -1

[Numpy-discussion] Scipy 2016 attending

2016-05-18 Thread Charles R Harris
Hi All, Out of curiosity, who all here intends to be at Scipy 2016? Chuck ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] Calling C code that assumes SIMD aligned data.

2016-05-05 Thread Charles R Harris
On Thu, May 5, 2016 at 2:10 PM, Øystein Schønning-Johansen < oyste...@gmail.com> wrote: > Thanks for your answer, Francesc. Knowing that there is no numpy solution > saves the work of searching for this. I've not tried the solution described > at SO, but it looks like a real performance killer.

[Numpy-discussion] Preparing for 1.12 branch

2016-04-16 Thread Charles R Harris
Hi All, This is just a request that numpy reviewers tag PRs that they think merit inclusion in 1.12 with `1.12.0 release`. The tag doesn't mean that the PR need be in 1.12, but it will help prioritize the review process. Chuck ___ NumPy-Discussion

Re: [Numpy-discussion] linux wheels coming soon

2016-04-13 Thread Charles R Harris
On Wed, Apr 13, 2016 at 1:15 PM, Matthew Brett wrote: > On Tue, Apr 12, 2016 at 7:15 PM, Matthew Brett > wrote: > > Hi, > > > > On Sat, Apr 2, 2016 at 6:11 PM, Matthew Brett > wrote: > >> On Fri, Mar 25, 2016 at 6:39

Re: [Numpy-discussion] Floor divison on int returns float

2016-04-13 Thread Charles R Harris
On Wed, Apr 13, 2016 at 2:48 PM, Nathaniel Smith wrote: > On Apr 13, 2016 9:08 AM, "Robert Kern" wrote: > > > > On Wed, Apr 13, 2016 at 3:17 AM, Antony Lee > wrote: > > > > > > This kind of issue (see also >

[Numpy-discussion] Preliminary schedule for 1.12

2016-04-09 Thread Charles R Harris
Hi All, As we are trying out an accelerated release schedule this year it is time to start thinking of the 1.12 release. My current plan is to release a Numpy 1.11.1 at the end of the month with a few small fixups. Numpy 1.11.0 looks to have been one of our more successful releases and there are

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