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
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)
Stefan Krah stefan-usenet at 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
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
On Sun, Jul 8, 2012 at 6:52 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Jul 8, 2012 at 6:44 PM, Chris Ball s0454...@sms.ed.ac.uk wrote:
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
Stéfan van der Walt stefan at 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)
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
David Froger david.froger at 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
Chris Ball ceball at gmail.com writes:
Keith Hughitt keith.hughitt at 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
Pauli Virtanen pav at 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. There
Keith Hughitt keith.hughitt at 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.
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.
Charles R Harris charlesr.harris at gmail.com writes:
On Thu, Apr 12, 2012 at 8:13 PM, Charles R Harris charlesr.harris at
gmail.com wrote:
On Thu, Apr 12, 2012 at 7:41 PM, Charles R Harris charlesr.harris at
gmail.com wrote:
On Thu, Apr 12, 2012 at 2:05 AM, Chris Ball ceball
Travis Oliphant teoliphant at 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:
Ralf Gommers ralf.gommers at 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
Robert Kern robert.kern at gmail.com writes:
On Wed, Sep 8, 2010 at 14:42, Chris Ball ceball at gmail.com wrote:
Robert Kern robert.kern at gmail.com writes:
...
a = numpy.array([1,2,3,4,5])
a.clip(2,None)
array([2, 2, 2, 2, 2], dtype=object)
I'm not sure why the returned array
Robert Kern robert.kern at gmail.com writes:
On Tue, Sep 7, 2010 at 15:12, Friedrich Romstedt
friedrichromstedt at 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
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'}
divide(0,0)
0
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