Hi,
I'm getting a SEGV for boolean indices to a multi-dimensional array (numpy ver
1.4.1). Is this a known problem? Code and backtrace below.
Thanks,
Geoff
import numpy
a = numpy.ones((1,1))
a[a0]
Program received signal SIGSEGV, Segmentation fault.
[Switching to Thread 182902359776 (LWP
On Tue, Jun 22, 2010 at 18:37, Geoffrey Ely g...@usc.edu wrote:
Hi,
I'm getting a SEGV for boolean indices to a multi-dimensional array (numpy
ver 1.4.1). Is this a known problem? Code and backtrace below.
No, and I cannot replicate it on OS X. Can you give more details about
your platform
Hi Geoff,
It's working in numpy V1.3.0:
import numpy
numpy.__version__
'1.3.0'
a = numpy.ones((1,1))
a[a0]
array([ 1.])
Thanks,
Masha
liu...@usc.edu
On Jun 22, 2010, at 4:37 PM, Geoffrey Ely wrote:
Hi,
I'm getting a SEGV for boolean indices to a
No, and I cannot replicate it on OS X. Can you give more details about
your platform and how you built numpy?
$ uname -a
Linux login3.ranger.tacc.utexas.edu 2.6.9-78.0.22.EL_lustre_TACC #9 SMP
Wed Nov 4 16:21:54 CST 2009 x86_64 x86_64 x86_64 GNU/Linux
Python 2.6.5 built with
./configure
make
On Tue, Jun 22, 2010 at 7:01 PM, Geoffrey Ely g...@usc.edu wrote:
No, and I cannot replicate it on OS X. Can you give more details about
your platform and how you built numpy?
$ uname -a
Linux login3.ranger.tacc.utexas.edu 2.6.9-78.0.22.EL_lustre_TACC #9 SMP
Wed Nov 4 16:21:54 CST 2009
On Jun 22, 2010, at 5:13 PM, Benjamin Root wrote:
Which distro of Linux are you using? The kernel version is fairly old, but
the installation date is less than a year old. Also, what version of python
is available through Distribute?
It is CentOS, heavily customized, I am sure, for this
On Tue, Jun 22, 2010 at 6:38 PM, Geoffrey Ely g...@usc.edu wrote:
On Jun 22, 2010, at 5:13 PM, Benjamin Root wrote:
Which distro of Linux are you using? The kernel version is fairly old,
but the installation date is less than a year old. Also, what version of
python is available through
On 06/23/2010 09:38 AM, Geoffrey Ely wrote:
Not sure if Python itself is available through PyPI/distribute. I installed
Python 2.6.5 from source.
As I understand it, setuptools does not work well for Numpy install, but
distribute is a bit better. Is that true?
No, it is even worse.
Is
On Jun 22, 2010, at 7:11 PM, David wrote:
Is it better to avoid setuptools/distribute/PyPI altogether?
Yes, unless you need their features (which in the case of numpy is
mostly egg, since installing from pypi rarely works anyway).
OK, installing from source solved the problem (and so did
