On Thu, Apr 4, 2013 at 12:52 AM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
Thanks all for taking an interest. I need to think a bot more about
the options before commenting more, but:
while we're at it:
It seems very odd to me that datetime64 supports different units
(right
to stdout or something of that sort, I get the 4x
speedup that I expect. Any ideas?
Jonathan Tu
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. The above unit test always fails.)
Thanks,
Jonathan Tu
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a directory
of symbolic links to every necessary library.
Jonathan Tu
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the
slowdown would really be.
Jonathan Tu
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On Jul 24, 2010, at 3:08 PM, Benjamin Root wrote:
On Fri, Jul 23, 2010 at 10:10 AM, Jonathan Tu j...@princeton.edu wrote:
Hi,
I am trying to install Numpy on a Linux cluster running RHEL4. I installed a
local copy of Python 2.7 because RHEL4 uses Python 2.3.4 for various internal
On Sat 24/07/10 3:39 PM , David Cournapeau courn...@gmail.com wrote:
On Sun, Jul 25, 2010 at 4:23 AM, Jonathan Tu wrote:
On Jul 24, 2010, at 3:08 PM, Benjamin Root wrote:
On Fri, Jul 23, 2010 at 10:10 AM, Jonathan Tu wrote:
Hi,
I am trying to install Numpy on a Linux
On Jul 24, 2010, at 4:04 PM, Keith Goodman wrote:
On Sat, Jul 24, 2010 at 12:58 PM, David Cournapeau courn...@gmail.com wrote:
On Sun, Jul 25, 2010 at 4:50 AM, Jonathan Tu j...@princeton.edu wrote:
I am unable to find the files lapack_lite.so or _dotblas.so. I used the
locate command
specify that I want to build against ATLAS/LAPACK? I'm certain that
they are installed on this cluster.
Jonathan Tu
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Here is what I would do for RHEL4:
- use python 2.6, not 2.7, because the released numpy does not support 2.7
yet.
- build atlas 3.8.3 and lapack 3.1.1 by yourself: this is your core
issue here. Both lapack and atlas should be built with the -fPIC flag
on x86_64 arch (modify the make.inc in
On Jul 24, 2010, at 5:46 PM, Jonathan Tu wrote:
Here is what I would do for RHEL4:
- use python 2.6, not 2.7, because the released numpy does not support 2.7
yet.
- build atlas 3.8.3 and lapack 3.1.1 by yourself: this is your core
issue here. Both lapack and atlas should be built
If you install shared libraries into a directory which is not looked
in by default by ld, you should add it to the LD_LIBRARY_PATH, e.g.:
LD_LIBRARY_PATH=$HOME/local/lib:$LD_LIBRARY_PATH python -c import numpy
David
Ok, that makes sense to me. I tried to see what the current value is by
On Jul 24, 2010, at 6:09 PM, David Cournapeau wrote:
On Sun, Jul 25, 2010 at 7:00 AM, Jonathan Tu j...@princeton.edu wrote:
If you install shared libraries into a directory which is not looked
in by default by ld, you should add it to the LD_LIBRARY_PATH, e.g.:
LD_LIBRARY_PATH=$HOME/local
On Jul 24, 2010, at 6:21 PM, David Cournapeau wrote:
On Sun, Jul 25, 2010 at 7:12 AM, Jonathan Tu j...@princeton.edu wrote:
What does that part do? It turns out that by fixing my library path, numpy
now imports. I assume that my installation of h5py doesn't need to be
redone just
?
And thanks for the tip, I will try the h5py list for those tests.
Jonathan Tu
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Hi,I am trying to install Numpy on a Linux cluster running RHEL4. I installed a local copy of Python 2.7 because RHEL4 uses Python 2.3.4 for various internal functionalities. I downloaded the Numpy source code usingsvn co http://svn.scipy.org/svn/numpy/trunk numpyand then I tried to build
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