On 6/13/2011 5:58 AM, Ralf Gommers wrote:
Hi,
I am pleased to announce the availability of the first release candidate
of NumPy 1.6.1. This is a bugfix release, list of fixed bugs:
#1834 einsum fails for specific shapes
#1837 einsum throws nan or freezes python for specific array
On 06/19/2011 05:21 AM, Ralf Gommers wrote:
On Tue, Jun 14, 2011 at 5:28 AM, Bruce Southey bsout...@gmail.com
mailto:bsout...@gmail.com wrote:
On Mon, Jun 13, 2011 at 8:31 PM, Pauli Virtanen p...@iki.fi
mailto:p...@iki.fi wrote:
On Mon, 13 Jun 2011 11:08:18 -0500, Bruce Southey
NumPy has a mechanism built in to allow subclasses to adjust or override
aspects of the ufunc behavior. While this goal is important, this mechanism
only allows for very limited customization, making for instance the masked
arrays unable to work with the native ufuncs in a full and proper way. I
On 06/19/2011 05:21 AM, Ralf Gommers wrote:
On Tue, Jun 14, 2011 at 5:28 AM, Bruce Southey bsout...@gmail.com
mailto:bsout...@gmail.com wrote:
On Mon, Jun 13, 2011 at 8:31 PM, Pauli Virtanen p...@iki.fi
mailto:p...@iki.fi wrote:
On Mon, 13 Jun 2011 11:08:18 -0500, Bruce Southey wrote:
On Mon, Jun 20, 2011 at 4:20 PM, Bruce Southey bsout...@gmail.com wrote:
**
On 06/19/2011 05:21 AM, Ralf Gommers wrote:
On Tue, Jun 14, 2011 at 5:28 AM, Bruce Southey bsout...@gmail.com wrote:
On Mon, Jun 13, 2011 at 8:31 PM, Pauli Virtanen p...@iki.fi wrote:
On Mon, 13 Jun 2011
On Mon, Jun 20, 2011 at 12:48 AM, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Jun 13, 2011 at 7:58 AM, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
Hi,
I am pleased to announce the availability of the first release candidate
of NumPy 1.6.1. This is a bugfix release, list of fixed bugs:
On Mon, Jun 20, 2011 at 9:19 AM, Christoph Gohlke cgoh...@uci.edu wrote:
On 6/13/2011 5:58 AM, Ralf Gommers wrote:
Hi,
I am pleased to announce the availability of the first release candidate
of NumPy 1.6.1. This is a bugfix release, list of fixed bugs:
#1834 einsum fails for
On Mon, Jun 20, 2011 at 8:50 PM, Bruce Southey bsout...@gmail.com wrote:
I copied the files but that just moves the problem. So that patch is
incorrect.
I get the same errors on Fedora 15 supplied Python3.2 for numpy 1.6.0 and
using git from 'https://github.com/rgommers/numpy.git'. Numpy
At the moment I'm using numpy.dot to convert a WxHx3 RGB image to a
grayscale image:
src_mono = np.dot(src_rgb.astype(np.float), np.ones(3)/3.);
This seems quite slow though (several seconds for a 3 megapixel image) - is
there a more specialized routine better suited to this?
Cheers,
Alex
On Mon, Jun 20, 2011 at 2:33 PM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Mon, Jun 20, 2011 at 12:48 AM, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Jun 13, 2011 at 7:58 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi,
I am pleased to announce the availability of the
You could try:
src_mono = src_rgb.astype(float).sum(axis=-1) / 3.
But that speed does seem slow. Here are the relevant timings on my machine (a
recent MacBook Pro) for a 3.1-megapixel-size array:
In [16]: a = numpy.empty((2048, 1536, 3), dtype=numpy.uint8)
In [17]: timeit
On 06/20/2011 10:41 AM, Zachary Pincus wrote:
You could try:
src_mono = src_rgb.astype(float).sum(axis=-1) / 3.
But that speed does seem slow. Here are the relevant timings on my machine (a
recent MacBook Pro) for a 3.1-megapixel-size array:
In [16]: a = numpy.empty((2048, 1536, 3),
Are the testing guidelines included in the HTML docs anywhere? If I
recall, they used to be, and I couldn't find them with a brief
look/google. I'd like to link to them. Maybe the rendered rst page is
considered their new home?
https://github.com/numpy/numpy/blob/master/doc/TESTS.rst.txt
Skipper
On Mon, Jun 20, 2011 at 11:36 PM, Skipper Seabold jsseab...@gmail.comwrote:
Are the testing guidelines included in the HTML docs anywhere? If I
recall, they used to be, and I couldn't find them with a brief
look/google. I'd like to link to them. Maybe the rendered rst page is
considered their
On Mon, Jun 20, 2011 at 5:41 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Mon, Jun 20, 2011 at 11:36 PM, Skipper Seabold jsseab...@gmail.com
wrote:
Are the testing guidelines included in the HTML docs anywhere? If I
recall, they used to be, and I couldn't find them with a brief
On Mon, Jun 20, 2011 at 11:44 PM, Skipper Seabold jsseab...@gmail.comwrote:
On Mon, Jun 20, 2011 at 5:41 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Mon, Jun 20, 2011 at 11:36 PM, Skipper Seabold jsseab...@gmail.com
wrote:
Are the testing guidelines included in the HTML
Thanks, that's helpful. I'm now getting comparable times on a different
machine, it must be something else slowing down my machine more generally,
not just numpy.
On Mon, Jun 20, 2011 at 5:11 PM, Eric Firing efir...@hawaii.edu wrote:
On 06/20/2011 10:41 AM, Zachary Pincus wrote:
You could
This pull request which needs some testing should fix the issue:
https://github.com/numpy/numpy/pull/92
-Mark
On Fri, Jun 10, 2011 at 11:40 AM, Ken Basye kbas...@jhu.edu wrote:
Dear folks,
I have some code that stopped working with 1.6.0 and I'm wondering if
there's a better way to
Alex Flint wrote:
Thanks, that's helpful. I'm now getting comparable times on a different
machine, it must be something else slowing down my machine more
generally, not just numpy.
you also might want to get a bit fancier than simply scaling linearly
R,G, and B don't necessarily all
https://github.com/numpy/numpy/pull/93
The summary:
* Tighten up date unit vs time unit casting rules, and integrate the
NPY_CASTING enum deeper into the datetime conversions
* Determine a unit when converting from a string array, similar to when
converting from lists of strings
* Switch
Moin Denis,
On 20 Jun 2011, at 19:04, denis wrote:
a separate question, have you run genfromtxt( xx.csv.gz ) lately ?
I haven't, and I was not particularly involved with it before this
patch, so this would possibly be better addressed to the list.
On on
On Mon, Jun 20, 2011 at 2:43 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Mon, Jun 20, 2011 at 8:50 PM, Bruce Southey bsout...@gmail.com wrote:
I copied the files but that just moves the problem. So that patch is
incorrect.
I get the same errors on Fedora 15 supplied Python3.2
I was just trying to link to the numpy.testing module but can't using
intersphinx. Does anyone know why certain submodules aren't included
in objects.inv? It looks as though it has something to do either with
having a reference at the top of the rst file (so you can :ref: link
to it) or having
23 matches
Mail list logo
