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(ar
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), a
> It's working on the buildbots. Did you remove the build directory first?
Oops. Great, all working now!
James
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On Tue, Nov 11, 2008 at 4:13 PM, James Philbin <[EMAIL PROTECTED]> wrote:
> > 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
I did an update to a Fedora 9 workstation yesterday that included
updating numpy to 1.2.0 and matplotlib 0.98.3 (python version is
2.5.1). This seems to have played havoc with some of the histogram
plotting we do. I was aware of the histogram changes in 1.2.0, but
something doesn't seem to have wor
> 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]: np.log1p(np.array([1],dt
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
>>
>> T
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 :
> 292c0: e9 fb ff ff ff
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 :
292c0: e9 fb ff ff ff jmpq 292c0
292c5: 66 66 2e 0f 1f 84 00nopw %cs:0x0(%rax,%rax,1)
"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 ab
> 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
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)
> .
> 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)
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, 1
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
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.te
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
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 wrappers
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
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 eith
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 ar
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 kno
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
> gener
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
Rol
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:
> http://projects.scipy.org/scipy/numpy/browser/trunk/numpy/core/i
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
http://projects.scipy.org/scipy/numpy/browser/trunk/numpy
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