Now that I have removed all GPL/LGPL code from scipy, I wanted to
double check on the licenses of some NumPy code. In particular,
1. FreeBSD license:
http://projects.scipy.org/scipy/numpy/browser/trunk/numpy/core/include/numpy/fenv/fenv.c
On Tue, Nov 11, 2008 at 02:12, Jarrod Millman [EMAIL PROTECTED] wrote:
Now that I have removed all GPL/LGPL code from scipy, I wanted to
double check on the licenses of some NumPy code. In particular,
1. FreeBSD license:
Hi all,
I would like to wrap some C++ classes that use TNT-Arrays. Is it
possible to pass numpy arrays to C++ functions that expect TNT-Arrays as
function parameter? Does anybody know how the wrappers could be
generated using swig? I would be very appreciative for any help.
With kind regards
On Tue, Nov 11, 2008 at 1:24 AM, Rolf Wester
[EMAIL PROTECTED]wrote:
Hi all,
I would like to wrap some C++ classes that use TNT-Arrays. Is it
possible to pass numpy arrays to C++ functions that expect TNT-Arrays as
function parameter? Does anybody know how the wrappers could be
generated
Charles R Harris wrote:
On Tue, Nov 11, 2008 at 1:24 AM, Rolf Wester
[EMAIL PROTECTED]wrote:
Hi all,
I would like to wrap some C++ classes that use TNT-Arrays. Is it
possible to pass numpy arrays to C++ functions that expect TNT-Arrays as
function parameter? Does anybody know how the
On Tue, Nov 11, 2008 at 10:33 AM, James Philbin [EMAIL PROTECTED] wrote:
Python 2.5.2 (r252:60911, Oct 5 2008, 19:29:17)
[GCC 4.3.2] on linux2
Type help, copyright, credits or license for more information.
import numpy
numpy.__version__
'1.3.0.dev6005'
numpy.test(verbosity=2)
...
On Tue, Nov 11, 2008 at 2:19 AM, Rolf Wester
[EMAIL PROTECTED]wrote:
Charles R Harris wrote:
On Tue, Nov 11, 2008 at 1:24 AM, Rolf Wester
[EMAIL PROTECTED]wrote:
Hi all,
I would like to wrap some C++ classes that use TNT-Arrays. Is it
possible to pass numpy arrays to C++ functions
On Tue, Nov 11, 2008 at 11:00 AM, Charles R Harris
[EMAIL PROTECTED] wrote:
On Tue, Nov 11, 2008 at 10:33 AM, James Philbin [EMAIL PROTECTED]wrote:
Python 2.5.2 (r252:60911, Oct 5 2008, 19:29:17)
[GCC 4.3.2] on linux2
Type help, copyright, credits or license for more information.
On Tue, Nov 11, 2008 at 11:13 AM, Charles R Harris
[EMAIL PROTECTED] wrote:
On Tue, Nov 11, 2008 at 11:00 AM, Charles R Harris
[EMAIL PROTECTED] wrote:
On Tue, Nov 11, 2008 at 10:33 AM, James Philbin [EMAIL PROTECTED]wrote:
Python 2.5.2 (r252:60911, Oct 5 2008, 19:29:17)
[GCC 4.3.2]
Charles R Harris wrote:
On Tue, Nov 11, 2008 at 2:19 AM, Rolf Wester
[EMAIL PROTECTED]wrote:
Charles R Harris wrote:
On Tue, Nov 11, 2008 at 1:24 AM, Rolf Wester
[EMAIL PROTECTED]wrote:
Hi all,
I would like to wrap some C++ classes that use TNT-Arrays. Is it
possible to pass numpy
Can you try checking the functions log1p and exp separately for all three
floating types? Something like
Well, log1p seems to be the culprit:
import numpy as np
np.log1p(np.ones(1,dtype='f')*3)
... hangs here ...
exp is fine:
import numpy as np
np.exp(np.ones(1,dtype='f')*3)
array([
On Tue, Nov 11, 2008 at 12:41 PM, James Philbin [EMAIL PROTECTED] wrote:
Can you try checking the functions log1p and exp separately for all three
floating types? Something like
Well, log1p seems to be the culprit:
import numpy as np
np.log1p(np.ones(1,dtype='f')*3)
... hangs here ...
My guess is that this is a libm/gcc problem on x86_64, perhaps depending on
the flags libm was compiled with. What distro are you using?
Ubuntu 8.10 amd64
Can you try plain old log/log10 also? I'll try to put together some c code
you can use to check things also so that you can file a bug
Does JSON have a representation for n-d arrays? In my little work with
it, it looked pretty lame for arrays of number, so I'd be surprised.
yes it does, thet are just treated as nested lists and the square bracket
notation is used. JSON is far from perfect but for objects of basic types
it is
Hi,
Yes, you can, but it can be tricky.
What you may need to do is to check if TNT is capable of accepting an
array by pointer without handling the memory (delete when the array is
destroyed). If there are tools to do this, then it will be easy. If
not, you will have to add a specific handler
Python 2.5.2 (r252:60911, Oct 5 2008, 19:29:17)
[GCC 4.3.2] on linux2
Type help, copyright, credits or license for more information.
import numpy
numpy.__version__
'1.3.0.dev6005'
numpy.test(verbosity=2)
...
test_umath.TestLogAddExp.test_logaddexp_values ...
The test hangs at the last line
Hmmm... So I examined an objdump of umath.so:
objdump -d /usr/lib/python2.5/site-packages/numpy/core/umath.so umath.asm
The relevant lines are here:
---
000292c0 log1pf:
292c0: e9 fb ff ff ff jmpq 292c0 log1pf
292c5: 66 66 2e 0f 1f 84 00nopw
On Tue, Nov 11, 2008 at 1:16 PM, James Philbin [EMAIL PROTECTED] wrote:
Hmmm... So I examined an objdump of umath.so:
objdump -d /usr/lib/python2.5/site-packages/numpy/core/umath.so umath.asm
The relevant lines are here:
---
000292c0 log1pf:
292c0: e9 fb ff ff ff
Hi Rolf,
Just curious -- have you considered using the blitz++ library
(http://www.oonumerics.org/blitz/)? There seems to be a lot of
overlap in terms of functionality. If you use blitz++, it's largely
included in scipy as part of weave. Additionally, I already have code
that generates
On Tue, Nov 11, 2008 at 2:25 PM, Charles R Harris [EMAIL PROTECTED]
wrote:
On Tue, Nov 11, 2008 at 1:16 PM, James Philbin [EMAIL PROTECTED] wrote:
Hmmm... So I examined an objdump of umath.so:
objdump -d /usr/lib/python2.5/site-packages/numpy/core/umath.so
umath.asm
The relevant lines
I think this is now fixed in svn, I'm trying to see if static fixes the
problem with the old buggy version. What optimization level is numpy being
compiled with?
Still a problem here:
In [1]: import numpy as np
In [2]: np.__version__
Out[2]: '1.3.0.dev6011'
In [3]:
It's working on the buildbots. Did you remove the build directory first?
Oops. Great, all working now!
James
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Hello,
I apologize for this long listing, but I have a lot of pent-up f2py queries
occupying my mind [?]
I realize that f2py is a non-commercial service to the community, and am
highly impressed that it exists at all. I can only offer in return my own
assistance to others (say via this list),
Simon Palmer wrote:
Does JSON have a representation for n-d arrays? In my little work with
it, it looked pretty lame for arrays of number, so I'd be surprised.
yes it does, thet are just treated as nested lists and the square
bracket notation is used.
then it looks like one of str(array)
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