Hi Robert
2009/2/27 Robert Kern robert.k...@gmail.com:
a[ix_([2,3,6],range(a.shape[1]),[3,2])]
If anyone knows a better way?
One could probably make ix_() take slice objects, too, to generate the
correct arange() in the appropriate place.
I was wondering how one would implement this, since
Hi,
A small patch to fix some last warnings (numpy almost builds warning
free with -W -Wall -Wextra now). I am not sure about those
(signed/unsigned casts are potentially dangerous), so I did not apply
them directly. It did help me discovering a bug or two in numpy (fixed
in the trunk):
David Cournapeau wrote:
Hi,
A small patch to fix some last warnings (numpy almost builds warning
free with -W -Wall -Wextra now). I am not sure about those
(signed/unsigned casts are potentially dangerous), so I did not apply
them directly. It did help me discovering a bug or two in
I would appreciate if people would test building numpy
(trunk); in particular since some issues are moderately complex and
system dependent
On Vista with VS2008, numpy rev r6535, I get the following behaviour:
1. Building and installing numpy on python 2.6.1 compiled in debug
mode succeeds,
2009/3/3 David Cournapeau da...@ar.media.kyoto-u.ac.jp:
David Cournapeau wrote:
Hi,
A small patch to fix some last warnings (numpy almost builds warning
free with -W -Wall -Wextra now). I am not sure about those
(signed/unsigned casts are potentially dangerous), so I did not apply
them
Windows debug extensions have a suffix, d. If you don't install the
debug version of numpy, you can't use it with debug Python.
Ah, thank you. Sorry for the newb question: how do you install the
debug version (for msvc)?
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Numpy-discussion mailing
Dear Numpy and Scipy developers,
We are now starting the svn and trac migrations to new servers:
- The svn repositories of both numpy and scipy are now unavailable,
and should be available around 16:00 UTC (3rd March 2009). You will then
be able to update/commit again.
- Trac for
Hi,
I've been looking at a 64-bit numpy problem we were having on Solaris:
a=numpy.zeros(0x18000,dtype='b1')
a.data
Traceback (most recent call last):
File stdin, line 1, in module
ValueError: size must be zero or positive
A working fix seemed to be this:
Index: arrayobject.c
On Tue, Mar 03, 2009 at 11:20:19AM -0500, Todd Miller wrote:
Is anyone using numpy in 64-bitenvironments on a day-to-day basis?
I am.
Are you using very large arrays, i.e. over 2G in size?
I believe so, but I may be wrong.
Gaël
___
On Tue, Mar 3, 2009 at 4:20 PM, Todd Miller jmil...@stsci.edu wrote:
Is anyone using numpy in 64-bit
environments on a day-to-day basis?
Yes - linux x86_64
Are you using very large arrays,
i.e. over 2G in size?
I have been using arrays this size and larger (mainly sparse matrices)
without
Is anyone using numpy in 64-bit environments on a day-to-day basis?
Windows 2003 64
Are you using very large arrays, i.e. over 2G in size?
Yes without any problems, using Python 2.6.
Hanni
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Todd Miller wrote:
Hi,
I've been looking at a 64-bit numpy problem we were having on Solaris:
a=numpy.zeros(0x18000,dtype='b1')
a.data
Traceback (most recent call last):
File stdin, line 1, in module
ValueError: size must be zero or positive
A working fix seemed to be this:
Hi,
A few weeks ago, we had a discussion about the 1.3.0 release schedule, but
we did not end up stating a schedule. I stand up to be the release
manager for 1.3.0, and suggest the following:
Beta: 15th March (only doc + severe regressions accepted after, branch
trunk into 1.3.x, trunk
Kevin,
Sorry for the delayed answer.
(a) Is MA intended to be subclassed?
Yes, that's actually the reason why the class was rewritten, to
simplify subclassing. As Josef suggested, you can check the
scikits.timeseries package that makes an extensive use of MaskedArray
as baseclass.
(b)
Hi everyone,
We have moved the scipy and numpy Trac and SVN servers to a new
machine. We have also moved the scikits SVN repository, but not its
Trac (scipy.org/scipy/scikits). The SVN repositories for wavelets,
mpi4py, and other projects that are hosted on scipy have not been
moved
Hi Peter,
Peter Wang wrote:
Hi everyone,
We have moved the scipy and numpy Trac and SVN servers to a new
machine. We have also moved the scikits SVN repository, but not its
Trac (scipy.org/scipy/scikits). The SVN repositories for wavelets,
mpi4py, and other projects that are hosted
Windows debug extensions have a suffix, d. If you don't install the
debug version of numpy, you can't use it with debug Python.
*red face* forgot about --debug...
Yes, this has actually nothing to do with python 2.6. I noticed the
crash, thought naively it would be easy to fix, but it is
David,
I also started to update the release notes:
http://projects.scipy.org/scipy/numpy/browser/trunk/doc/release/1.3.0-notes.rst
I get a 404.
Anyhow, on the ma side:
* structured arrays should now be fully supported by MaskedArray
(r6463, r6324, r6305, r6300, r6294...)
* Minor bug fixes
Pierre GM wrote:
David,
I also started to update the release notes:
http://projects.scipy.org/scipy/numpy/browser/trunk/doc/release/1.3.0-notes.rst
I get a 404.
Anyhow, on the ma side:
* structured arrays should now be fully supported by MaskedArray
(r6463, r6324, r6305, r6300,
2009/3/3 Peter Wang pw...@enthought.com:
Can you try again? I looked again and it looks like there are
definitely some files that were not writeable by the Apache server.
I think it is the notification system that is failing to send out
e-mails. I'll look into it.
Cheers
Stéfan
On Wed, Mar 4, 2009 at 4:52 AM, Pierre GM pgmdevl...@gmail.com wrote:
David,
I also started to update the release notes:
http://projects.scipy.org/scipy/numpy/browser/trunk/doc/release/1.3.0-notes.rst
I get a 404.
Yes, sorry about that, the server migration has caused some changes
here. I
2009/3/3 Stéfan van der Walt ste...@sun.ac.za:
2009/3/3 Peter Wang pw...@enthought.com:
Can you try again? I looked again and it looks like there are
definitely some files that were not writeable by the Apache server.
I think it is the notification system that is failing to send out
I have been trying to build numpy docs from the svn doc subdirectory,
and I have been notifying the sphinx people when things don't work.
They have made several fixes, but here is one that will require a change
on the numpy side. I know zip about sphinx extensions, so I don't
expect to be
Tue, 03 Mar 2009 11:15:31 -1000, Eric Firing wrote:
I have been trying to build numpy docs from the svn doc subdirectory,
and I have been notifying the sphinx people when things don't work. They
have made several fixes, but here is one that will require a change on
the numpy side. I know zip
Robert Kern robert.kern at gmail.com writes:
Do you mind if we just add you to the THANKS.txt file, and consider
you as a NumPy Developer per the LICENSE.txt as having released that
code under the numpy license? If we're dotting our i's and crossing
our t's legally, that's a bit more
Hi,
I am doing optimization on a vector of rotation angles tx,ty and tz
using scipy.optimize.fmin. Unfortunately the function that I am
optimizing needs the rotation matrix corresponding to this vector so
it is getting constructed once for each iteration with new values.
From profiling I can Hi,
Sorry.. obviously having some copy and paste trouble here. The
message should be as follows:
Hi,
I am doing optimization on a vector of rotation angles tx,ty and tz
using scipy.optimize.fmin. Unfortunately the function that I am
optimizing needs the rotation matrix corresponding to this vector
On Tue, Mar 3, 2009 at 17:53, Jonathan Taylor
jonathan.tay...@utoronto.ca wrote:
Sorry.. obviously having some copy and paste trouble here. The
message should be as follows:
Hi,
I am doing optimization on a vector of rotation angles tx,ty and tz
using scipy.optimize.fmin. Unfortunately
In addition to what Robert said, you also only need to calculate six
transcendentals:
cx = cos(tx)
sx = sin(tx)
cy = cos(ty)
sy = sin(ty)
cz = cos(tz)
sz = sin(tz)
you, are making sixteen transcendental calls in your loop each time.
I can also recommend Chapter 2 of Introduction to Robotics:
On Tue, Mar 3, 2009 at 03:11, Stéfan van der Walt ste...@sun.ac.za wrote:
Hi Robert
2009/2/27 Robert Kern robert.k...@gmail.com:
a[ix_([2,3,6],range(a.shape[1]),[3,2])]
If anyone knows a better way?
One could probably make ix_() take slice objects, too, to generate the
correct arange() in
I guess there has to be an easy way for this. I have:
M.shape=(1,3)
N.shape=(1,)
I want to do this:
for i in range(1):
M[i]*=N[i]
without the explicit loop
-Jose
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On Tue, Mar 3, 2009 at 8:53 PM, Jose Borreguero borregu...@gmail.com wrote:
I guess there has to be an easy way for this. I have:
M.shape=(1,3)
N.shape=(1,)
I want to do this:
for i in range(1):
M[i]*=N[i]
without the explicit loop
M = np.ones((10,3))
N = np.arange(10)
M *= N[:, newaxis]
On Tue, 3 Mar 2009, Jose Borreguero wrote:
I guess there has to be an easy way for this. I have:
M.shape=(1,3)
N.shape=(1,)
I want to do this:
for i in range(1):
M[i]*=N[i]
without the explicit loop
-Jose
___
On Tue, Mar 3, 2009 at 22:41, Jonathan Taylor
jonathan.tay...@utoronto.ca wrote:
Thanks, All these things make sense and I should have known to
calculate the sins and cosines up front. I managed a few more
tricks and knocked off 40% of the computation time:
def rotation(theta, R =
On Tue, Mar 3, 2009 at 11:41 PM, Jonathan Taylor
jonathan.tay...@utoronto.ca wrote:
Thanks, All these things make sense and I should have known to
calculate the sins and cosines up front. I managed a few more
tricks and knocked off 40% of the computation time:
def rotation(theta, R =
since you only need to calculate the sine or cosine of a single value (not
an array of values) I would recommend using the sine and cosine function of
the python standard math library as it is a full order of magnitude faster.
(at least on my core 2 windows vista box)
i.e. import math as m
m.sin
Hello,
def rotation(theta, R = np.zeros((3,3))):
cx,cy,cz = np.cos(theta)
sx,sy,sz = np.sin(theta)
R.flat = (cx*cz - sx*cy*sz, cx*sz + sx*cy*cz, sx*sy,
-sx*cz - cx*cy*sz, -sx*sz + cx*cy*cz,
cx*sy, sy*sz, -sy*cz, cy)
return R
Pretty evil looking ;) but still
On 3-Mar-09, at 11:41 PM, Jonathan Taylor wrote:
def rotation(theta, R = np.zeros((3,3))):
Hey Jon,
Just a note, in case you haven't heard this schpiel before: be careful
when you use mutables as default arguments. It can lead to unexpected
behaviour down the line.
The reason is that the
On Wed, Mar 4, 2009 at 00:56, David Warde-Farley d...@cs.toronto.edu wrote:
On 3-Mar-09, at 11:41 PM, Jonathan Taylor wrote:
def rotation(theta, R = np.zeros((3,3))):
Hey Jon,
Just a note, in case you haven't heard this schpiel before: be careful
when you use mutables as default arguments.
On 4-Mar-09, at 1:58 AM, Robert Kern wrote:
I'm pretty sure that's exactly why he did it, and that's what he's
calling evil.
As ever, such nuance is lost on me. I didn't bother to check whether
or not it was in the original function. Robert to the rescue. :)
It's a neat trick, actually,
On 4-Mar-09, at 1:50 AM, Hoyt Koepke wrote:
I would definitely encourage you to check out cython. I have to write
lots of numerically intensive stuff in my python code, and I tend to
cythonize it a lot.
Seconded. I recently took some distance computation code and
Cythonized it, I got an
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