Stefan Krah bytereef.org> writes:
...
> I wonder if this might be a blocker: Python-3.3 will be released in August
> and I don't think the issue is fixed yet:
>
> http://projects.scipy.org/numpy/ticket/2145
In case it helps, on a 64-bit Debian 6 machine where building with Python 3.1
and 3.2
Hi,
I'm trying to set up various build machines. Some of these are with
ShiningPanda.com, which provides a 64-bit Debian 6 machine (as well as Windows
7). This machine has multiple versions of Python installed.
Using the build procedure below, I see a test failure with Python 2.6 (and 2.7)
bu
Hi,
I'm having some trouble building numpy on a 64-bit Windows 7 machine. I'm
probably accidentally missing a step following the build process described at
http://scipy.org/Installing_SciPy/Windows; it would be great if someone could
spot what!
Here's what I did:
1. installed python 2.7 from p
Stéfan van der Walt sun.ac.za> writes:
...
> I'd like to find out what the current status of continuous integration
> is for numpy. I'm aware of:
>
> a) http://buildbot.scipy.org -- used by Ralf for testing releases?
> b) http://travis-ci.org -- connected via GitHub
> c) http://184.73.247.160:811
On Sun, Jul 8, 2012 at 6:52 PM, Nathaniel Smith wrote:
> On Sun, Jul 8, 2012 at 6:44 PM, Chris Ball wrote:
>> Hi,
>>
>> When calling tools/test-installed-numpy.py
>> (https://github.com/numpy/numpy/blob/master/tools/test-installed-numpy.py),
>> I can pass o
Hi,
When calling tools/test-installed-numpy.py
(https://github.com/numpy/numpy/blob/master/tools/test-installed-numpy.py),
I can pass options to nose by supplying those options after "--", eg:
$ python tools/test-installed-numpy.py -- --with-xunit
(which passes "--with-xunit" to nose).
NumPy's to
Hi,
I'm trying to figure out how to run NumPy's tests with coverage enabled (i.e.
numpy.test(coverage=True) ). I can run the tests successfully like this:
$ git clone git://github.com/numpy/numpy.git
[...]
$ cd numpy/
$ python setup.py build_ext -i
[...]
$ cd .. # (avoid running from source dir
Chris Ball gmail.com> writes:
>
> Keith Hughitt gmail.com> writes:
>
> > Hi Chris,
> >
> > Try "sudo apt-get build-dep python-numpy" to install the dependencies for
> > building NumPy. I believe it will install all of the optional depende
David Froger gmail.com> writes:
> > I've been working on setting up a new buildbot for
> > NumPy. Unfortunately, I don't have much time to work on it,
> > so it's slow going!
...
> Hi,
>
> If there are things one can contribute to help the development
> of the buildbot for NumPy, I would be ha
Keith Hughitt gmail.com> writes:
> Hi Chris,
>
> Try "sudo apt-get build-dep python-numpy" to install the dependencies for
> building NumPy. I believe it will install all of the optional dependencies
> as well.
Thanks for that, but I'd already tried it and found the same failures.
However, I
Pauli Virtanen iki.fi> writes:
>
> 01.05.2012 11:14, David Froger kirjoitti:
> > Excerpts from Travis Oliphant's message of mar. mai 01 01:39:26 +0200 2012:
> > > If you have particular reasons why we should choose a particular CI
service,
> > > please speak up and let your voice be heard. The
Charles R Harris gmail.com> writes:
>
>
> On Thu, Apr 12, 2012 at 8:13 PM, Charles R Harris
gmail.com> wrote:
>
> On Thu, Apr 12, 2012 at 7:41 PM, Charles R Harris
gmail.com> wrote:
>
> On Thu, Apr 12, 2012 at 2:05 AM, Chris Ball gmail.com> wrote:
>
Hi,
When I build NumPy and then run the tests on Ubuntu (10.04 LTS) and Debian
(6.1), I always seem to get several failures. I guess most of these failures
come from not having some dependencies installed, but I can't figure out which
ones by reading e.g. http://docs.scipy.org/doc/numpy/user/in
Hi,
I'm trying out various continuous integration options, so I happen to be
testing NumPy on several platforms that I don't normally use.
Recently, I've been getting a segmentation fault on Debian 6 (with Python
2.7.2):
Linux debian6-amd64 2.6.32-5-amd64 #1 SMP Thu Mar 22 17:26:33 UTC 2012 x
Travis Oliphant gmail.com> writes:
>
> I just received word that NumPy has a license to use TeamCity and YouTrack
for NumPy development.
> YouTrack is a really nice issue tracker: http://www.jetbrains.com/youtrack/
>
>
> TeamCity is a really nice Continuous Integration system: http://
www
Ralf Gommers googlemail.com> writes:
...
> While we're at it, our buildbot situation is much worse than our issue
> tracker situation. This also looks good (and free):
> http://www.jetbrains.com/teamcity/
I'd like to help with the NumPy Buildbot situation, and below I propose
a plan for myself t
Robert Kern gmail.com> writes:
>
> On Wed, Sep 8, 2010 at 14:42, Chris Ball gmail.com> wrote:
> > Robert Kern gmail.com> writes:
> >
...
> >>>> a = numpy.array([1,2,3,4,5])
> >>>> a.clip(2,None)
> > array([2, 2, 2, 2, 2], dtype=obj
Robert Kern gmail.com> writes:
>
> On Tue, Sep 7, 2010 at 15:12, Friedrich Romstedt
> gmail.com> wrote:
> > Ah, no need to answer, I do this myself:
> >
> > Friedrich, would you please use numpy.inf and -numpy.inf.
>
> But if you have an integer array, you will run into the same problem.
> The
Hi,
I'm having some trouble accessing elements in an array of dtype="O"
from C code; I hope someone on the list could give me some advice
(because I might be doing something stupid).
I have an array of simple objects, created as follows:
class CF(object):
def __init__(self,num=0.0):
Thank you both for your replies - the difference is clear to me now.
Chris
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Hi,
I noticed some behavior that seems inconsistent to me:
>>> from numpy import divide, seterr
>>> seterr(divide='ignore')
{'over': 'raise', 'divide': 'raise', 'invalid': 'raise', 'under': 'raise'}
>>> seterr()
{'over': 'raise', 'divide': 'ignore', 'invalid': 'raise', 'under': 'raise'}
>>> divid
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