How do these two relate to each other !?
- Sebastian
On Fri, Sep 2, 2016 at 12:33 PM, Carl Kleffner wrote:
> maybe https://bitbucket.org/memotype/cffiwrap or https://github.com/
> andrewleech/cfficloak helps?
>
> C.
>
>
> 2016-09-02 11:16 GMT+02:00 Nathaniel Smith :
>
>> On Fri, Sep 2, 2016 at
n on tight/same/ or weak (maybe that means
then 'same' because it's easier to remember !?)
My two cents,
Sebastian Haase
On Tue, Mar 18, 2014 at 7:13 AM, Eelco Hoogendoorn
wrote:
>
>
> Perhaps this a bit of a thread hyjack; but this discussion got me thinking
&
Hi,
you projects looks really great!
I was wondering if you are making use of any pre-existing javascript
plotting library like flot or flotr2 ?
And if not, what are your reasons ?
Thanks,
Sebastian Haase
On Thu, Oct 24, 2013 at 9:55 PM, Jason Grout
wrote:
> On 10/24/13 1:42 PM, Peter W
nd we would be talking about far-future directions
instead of "a single letter addition", which abvious already has big
enough support and had so years ago))
Regards,
Sebastian Haase
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strong
> arguments against and then
> several more votes in favor.
Are there other precedents where an attribute would involve
data-copying ? I'm thinking that numpy generally does better than
matlab by being more explicit about it's memory usage...
(But, I'm no mathematici
On Mon, Sep 24, 2012 at 7:09 PM, Chris Barker wrote:
> On Sat, Sep 22, 2012 at 1:00 PM, Sebastian Haase wrote:
>> Oh,
>> is this actually documented - I knew that np.array would (by default)
>> only create copies as need ... but I never knew it would - if all fits
>
Oh,
is this actually documented - I knew that np.array would (by default)
only create copies as need ... but I never knew it would - if all fits
- even just return the original Python-object...
Thanks,
Sebastian Haase
On Sat, Sep 22, 2012 at 8:12 PM, Travis Oliphant wrote:
> Check to see
+1
On Sun, May 13, 2012 at 4:28 AM, Travis Oliphant wrote:
> Another approach would be to introduce a method:
>
> a.diag(copy=False)
>
> and leave a.diagonal() alone. Then, a.diagonal() could be deprecated over
> 2-3 releases.
>
> -Travis
>
>
> On May 12, 2012, at 8:31 AM, Ralf Gommers wrote:
>
e, yes, coding the bottlenecks in
> Fortran matters to me. But 13 seconds versus 1 second? I find that
> hardly interesting.
>
> Sturla
I would think that interactive zooming would be quite nice
("illuminating") and for that 13 secs would not be tolerable
Well... it
AND NUMPY
-Sebastian Haase
2012/1/22 Ondřej Čertík
>
> Hi,
>
> I read the Mandelbrot code using NumPy at this page:
>
> http://mentat.za.net/numpy/intro/intro.html
>
> but when I run it, it gives me integer overflows. As such, I have
> fixed the code, so that it d
,
Sebastian Haase
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d be one of my top ranked favorites, since I like writing
simple algorithms (like computing certain statistics over a numpy
array), and have this support all of e.g. unit8, int32, unit16,
float32 and float64... (I'm using some macro-enhanced SWIG for this
so far)
Thanks,
Sebastian Haase
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om the mgrid docs:
However, if the step length is a *complex number* (e.g. 5j), then the
integer part of its magnitude is interpreted as specifying the number
of points to create between the start and stop values, where the stop
value *is inclusive*.
-Sebastian Haase
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ava applications and numpy ?
Just hoping that someone here knows Java much better than me.
- Sebastian Haase
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aybe numpy should have a ndarray.totuple() method.
>
> -Chris
>
How about fixing PIL... I know that there is not a good track record
of getting patches into PIL ,
but did you get to the bottom of it and find how draw.line is implemented?
BTW, is it drawing anti-aliased lines ?
- Sebastia
I think he is talking about 1e6 downloads total.
-S.
On Fri, Apr 1, 2011 at 8:24 PM, Benjamin Root wrote:
> Yeah, but they have been downhill since November...
>
> On Fri, Apr 1, 2011 at 1:19 PM, Darren Dale wrote:
>>
>> Numpy is nearing a milestone:
>>
>> http://sourceforge.net/projects/numpy/
etter than nothing.
My 2 cents,
Sebastian Haase
On Thu, Mar 24, 2011 at 1:58 AM, wrote:
> #971: numpy.memmap 'offset' parameter docs are almost entirely wrong.
> ---+
> Reporter: 0ion9 | O
quot;normal" ndarrays just taking shape and dtype from the given array.
So what should the interpretation of "subok" be ?
Can you elaborate ... ?
Thanks,
Sebastian Haase
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done the move from C/C++ to Fortran -- I thought Fortran
was dead ... !? ;-)
What am I missing here ?
Apparently (from what I was able to read-up so far) there is a BIG
difference between FORTRAN 77 and F95.
But isn't gcc or gfortran still only supporting F77 ?
How abo
Thanks a lot. Very informative. I guess what you say about "cache line
is dirtied" is related to the info I got with valgrind (see my email
in this thread: L1 Data Write Miss 3636).
Can one assume that the cache line is always a few mega bytes ?
Thanks,
Sebastian
On Sat, Feb 19, 2011 at 12:40 AM,
Hi,
More surprises:
shaase@iris:~/code/SwiggedDistOMP: gcc -O3 -c the_lib.c -fPIC -fopenmp
-ffast-math
shaase@iris:~/code/SwiggedDistOMP: gcc -shared -o the_lib.so the_lib.o
-lgomp -lm
shaase@iris:~/code/SwiggedDistOMP: priithon the_python_prog.py
c_threads 0 time 0.000437839031219# this is n
real page is at
http://numpy.scipy.org.
I would vote, removing that frame and redirect
www.numpy.org
to
numpy.scipy.org
Is there any other use of numpy.org which I'm overlooking ?
Cheers,
-- Sebastian Haase
'
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On Thu, Feb 17, 2011 at 10:29 AM, Matthieu Brucher
wrote:
>
>> Do you think, one could get even better ?
>> And, where does the 7% slow-down (for single thread) come from ?
>> Is it possible to have the OpenMP option in a code, without _any_
>> penalty for 1 core machines ?
>
> There will always b
Eric,
thanks for insisting on this. I noticed that, when I saw it first,
just to forget about it again ...
The new timings on my machine are:
$: gcc -O3 -c the_lib.c -fPIC -fopenmp -ffast-math
$: gcc -shared -o the_lib.so the_lib.o -lgomp -lm
$: python2.5 the_python_prog.py
c_threads 1 time 0.000
Thanks,
Sebastian.
On Wed, Feb 16, 2011 at 1:50 PM, Sebastian Haase wrote:
> Eric,
> this is amazing !! Thanks very much, I have rarely seen such a compact
> source example that just worked.
> The timings I get are:
> c_threads 1 time 0.00155731916428
> c_threads 2 t
Eric,
this is amazing !! Thanks very much, I have rarely seen such a compact
source example that just worked.
The timings I get are:
c_threads 1 time 0.00155731916428
c_threads 2 time 0.000829789638519
c_threads 3 time 0.00061688839
c_threads 4 time 0.000704760551453
c_threads 5 t
; For PAPI, you have to install several packages (perf module for kernel for
> instance) and a GUI to analyze the results (in Eclispe, it should be
> possible).
> Matthieu
> 2011/2/15 Sebastian Haase
>>
>> Thanks Matthieu,
>> using __restrict__ with g++ did not chan
f 3: 1.18 ms per loop
>
>
> On Tue, Feb 15, 2011 at 4:42 PM, Sebastian Haase
> wrote:
>>
>> Hi Eat,
>> I will surely try these routines tomorrow,
>> but I still think that neither scipy function does the complete
>> distance calculation of all possible pairs a
gt; Hi,
>
> On Tue, Feb 15, 2011 at 5:50 PM, Sebastian Haase
> wrote:
>>
>> Hi,
>> I assume that someone here could maybe help me, and I'm hoping it's
>> not too much off topic.
>> I have 2 arrays of 2d point coordinates and would like to calculate
if you have a python script, you can valgrind --optionsinmyblog
>> python myscript.py
>> For PAPI, you have to install several packages (perf module for kernel for
>> instance) and a GUI to analyze the results (in Eclispe, it should be
>> possible).
>> Matthieu
>> 20
rd to dist (i.e. dist is the
> only pointer to the specific memory location), and then declare dist_ inside
> the first loop also with a restrict.
> Then, I would run valgrind or a PAPI profil on your code to see what causes
> the issue (false sharing, ...)
> Matthieu
>
> 2011/2
ossible to speed this kind of code up using OpenMP !?
Thanks,
Sebastian Haase
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On Fri, Jan 14, 2011 at 9:26 AM, Gael Varoquaux
wrote:
> On Thu, Jan 13, 2011 at 10:49:17AM -0800, David Cortesi wrote:
>> As to why I'm using Python 3, it's because I'm starting a new project
>> with no prior dependencies and want the current and future language --
>> which is now TWO FRAKKIN' YE
e you are trying
> to install from, and where you downloaded it from.
>
> -Chris
>
Hi David,
the simple answer you might be looking for is:
it's easier to stay with Python 2.x for a while...
Can you deinstall the ActiveState 3 version ?
Cheers,
- Sebastian Haase
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___
BTW, some of these operations can be done using scipy's ndimage - right ?
Any comments ? How does the performance compare ?
ndimage might have more options regarding edge handling, or ?
Cheers,
Sebastian Haase
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ow size
11, what would the peak memory usage of that operation be ?
How about renaming the option `window` to `window_size` (first I was
thinking of things like hamming and hanning windows...)... ?
Thanks,
Sebastian Haase
On Sat, Jan 1, 2011 at 5:29 AM, Erik Rigtorp wrote:
> Hi,
>
>
quot;C:\cygwin\home\haase\Priithon_25_win\numpy\lib\utils.py", line
729, in _lookfor_generate_cache
doc = inspect.getdoc(item)
File "C:\cygwin\home\haase\Priithon_25_win\Python25\lib\inspect.py",
line 313, in getdoc
doc = object.__doc__
NameError: Unknown C global variable
>&g
On Wed, Nov 17, 2010 at 8:15 PM, Robert Kern wrote:
> On Wed, Nov 17, 2010 at 13:11, Sebastian Haase wrote:
>> On Wed, Nov 17, 2010 at 7:48 PM, Nathaniel Smith wrote:
>>> On Wed, Nov 17, 2010 at 10:32 AM, Sebastian Haase
>>> wrote:
>>>> On Wed, Nov
On Wed, Nov 17, 2010 at 7:48 PM, Nathaniel Smith wrote:
> On Wed, Nov 17, 2010 at 10:32 AM, Sebastian Haase wrote:
>> On Wed, Nov 17, 2010 at 7:26 PM, Robert Kern wrote:
>>> On Wed, Nov 17, 2010 at 12:20, Sebastian Haase wrote:
>>>> Why does numpy not accept fl
On Wed, Nov 17, 2010 at 7:26 PM, Robert Kern wrote:
> On Wed, Nov 17, 2010 at 12:20, Sebastian Haase wrote:
>> Hi,
>>>>> import numpy as np
>>>>> a = np.arange(4)
>>>>> a[1.8]
>> 1
>>>>> a[ np.array(1.8) ]
>> Trace
pt float arrays as indices ?
I was very happy and quite surprised once I found out that it worked
at all for Python float scalars,
but would it not just be consequent to also allow float ndarrays then ?
Regards,
Sebastian Haase
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egmentEnds=False)::
...
https://priithon.googlecode.com/hg/Priithon/usefulGeo.py
HTH,
Sebastian Haase
On Wed, Oct 6, 2010 at 11:13 PM, Ian Mallett wrote:
> Hi,
>
> A background in linear algebra helps. I just came up with this method
> (which, because I thought of it 5 seconds ago, I don'
-line" into a second,
binary, file ?
Otherwise, you might want to look into the "appendable" ndarray the
Chris Barker wrote about on this list not too long ago.
And you might want to read this post:
http://old.nabble.com/Memory-usage-of-numpy-arrays-td29107053.html
Cheers,
- Seba
On Fri, Oct 1, 2010 at 2:20 PM, Pierre GM wrote:
>
> On Oct 1, 2010, at 1:03 PM, Sebastian Haase wrote:
>
>>>> However, I had done this before for some specific image-file-types:
>>>> those would add there own attribute to ndarray array (e.g. arr.Mrc)
>>&g
On Fri, Oct 1, 2010 at 12:38 PM, Pierre GM wrote:
>
> On Oct 1, 2010, at 11:26 AM, Sebastian Haase wrote:
>
>> Hi,
>> I'm trying to add a 'meta' attribute to ndarray to keep track of image
>> data filenames and resolution etc.
>> Following the
On Fri, Oct 1, 2010 at 11:26 AM, Sebastian Haase wrote:
> Hi,
> I'm trying to add a 'meta' attribute to ndarray to keep track of image
> data filenames and resolution etc.
> Following the excellent document
> http://docs.scipy.org/doc/numpy/user/basics.subclassing
ubclassing.html#simple-example-adding-an-extra-attribute-to-ndarray
What can I do ?
Thanks,
Sebastian Haase
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ously this is a general problem of wiki sites that exceed a
certain life time ;-)
(maybe there is a moinmoin plugin ...)
Thanks for scipy,
Sebastian Haase
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Hi Luis,
thanks for the announcement. How would you compare mahotas to scipy's ndimage ?
Are you using ndimage in mahotas at all ?
Thanks,
Sebastian Haase
On Fri, Sep 10, 2010 at 4:50 AM, Luis Pedro Coelho wrote:
> Hello everyone,
>
> My numpy based image processing toolbox
On Mon, Sep 6, 2010 at 12:24 PM, Pauli Virtanen wrote:
> Mon, 06 Sep 2010 10:41:38 +0200, Sebastian Haase wrote:
>>
>> is there an URL of the weekly built CHM documentation file ?
>
> It's the one linked from http://docs.scipy.org/doc/
>
Hi Pauli,
Thanks for
Hi,
is there an URL of the weekly built CHM documentation file ?
Thanks,
Sebastian Haase
On Sun, Sep 5, 2010 at 6:39 PM, wrote:
> #1348: CHM of Numpy Reference Guide (development version) is outdated
> +---
>
e very
> clear. A user sees all options and there is little chance of a
> misunderstanding. Of course, a sentence like "If you want frequency
> normalization, use histogram(data, normalized=False)/sum(data)" would
> also make things clear, without adding the frequency option.
>
I am in favor of adding an option for the density mode (not for this
release I guess).
I often have a long expressing in place of `data` and the one extra
keyword saves lot's of typing.
-Sebastian Haase
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On Thu, Aug 26, 2010 at 5:09 PM, Nathaniel Smith wrote:
> On Mon, Aug 23, 2010 at 9:20 AM, Travis Oliphant
> wrote:
>> On Aug 22, 2010, at 4:36 PM, Nathaniel Smith wrote:
>>> Question 2: Am I missing something, or does the ufunc API make this
>>> impossible? The problem is that a "PyUFuncGeneric
On Wed, Aug 25, 2010 at 4:02 AM, David Cournapeau wrote:
> On Wed, Aug 25, 2010 at 10:39 AM, Sebastian Haase wrote:
>
>> Robin,
>> thanks for those links.
>> My experience is more like the one described by fuzion at
>> http://nukeit.org/compile-python-2-7-packages-w
On Sun, Aug 22, 2010 at 10:35 AM, Robin wrote:
> On Sun, Aug 22, 2010 at 8:41 AM, Sebastian Haase wrote:
>>>>> Do you know if that contains a C++ compiler ? The first page before
>>>>> it starts the actual download has "Visual C++ Compilers" gra
On Sun, Aug 22, 2010 at 9:41 AM, Sebastian Haase wrote:
> On Sun, Aug 22, 2010 at 8:40 AM, Sebastian Haase wrote:
>> On Sun, Aug 22, 2010 at 8:16 AM, Sebastian Haase wrote:
>>> On Sun, Aug 22, 2010 at 3:39 AM, Sebastian Haase
>>> wrote:
>>>> On Sun, Aug
On Sun, Aug 22, 2010 at 8:40 AM, Sebastian Haase wrote:
> On Sun, Aug 22, 2010 at 8:16 AM, Sebastian Haase wrote:
>> On Sun, Aug 22, 2010 at 3:39 AM, Sebastian Haase wrote:
>>> On Sun, Aug 22, 2010 at 12:02 AM, Christoph Gohlke wrote:
>>>>
>>>>
>&g
On Sun, Aug 22, 2010 at 8:16 AM, Sebastian Haase wrote:
> On Sun, Aug 22, 2010 at 3:39 AM, Sebastian Haase wrote:
>> On Sun, Aug 22, 2010 at 12:02 AM, Christoph Gohlke wrote:
>>>
>>>
>>> On 8/21/2010 2:37 PM, Sebastian Haase wrote:
>>>> On Sat, A
On Sun, Aug 22, 2010 at 3:39 AM, Sebastian Haase wrote:
> On Sun, Aug 22, 2010 at 12:02 AM, Christoph Gohlke wrote:
>>
>>
>> On 8/21/2010 2:37 PM, Sebastian Haase wrote:
>>> On Sat, Aug 21, 2010 at 11:29 PM, Christoph Gohlke wrote:
>>>>
>>>
On Sun, Aug 22, 2010 at 12:02 AM, Christoph Gohlke wrote:
>
>
> On 8/21/2010 2:37 PM, Sebastian Haase wrote:
>> On Sat, Aug 21, 2010 at 11:29 PM, Christoph Gohlke wrote:
>>>
>>>
>>> On 8/21/2010 1:44 PM, Sebastian Haase wrote:
>>>> Hi,
&g
On Sat, Aug 21, 2010 at 11:29 PM, Christoph Gohlke wrote:
>
>
> On 8/21/2010 1:44 PM, Sebastian Haase wrote:
>> Hi,
>>
>> this is somewhat OT for this list, but since I know that David and
>> many others here have lot's of experience compiling C ex
using cygwin -- but that would only produce 32bit modules and should
be unusable.
So, the question is if someone has or knows of some tutorial about how
to go about this - step by step. This info could maybe even go the
scipy wiki
Thanks,
Sebastian
Hi Francesc,
another exciting project ... congratulations !
Am I correct in thinking that memmapping a carray would also be a
great speed advantage over memmapped ndarrays ? Let's say I have a
2Gbyte ndarray memmaped over a NFS network connection, should the
speed increase simply scale with the c
ives at google
code these days) ... ?
Thanks,
Sebastian Haase
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gt;
> Numpy version 1.3.0.
>
> Thanks,
>
Hi Mark,
I don't know the answer,
but Python 2.x has similar behavior for the built-in round():
round(2.7) returns 3.0 (float!)
I think I read that Python 3.2 will change this to
round(2.7) returning 3 (int!)
- Sebastian Haase
__
gt; >>>> sys.maxunicode
>>> > 65535
>>> >
>>> > I might have some "hand complied" python. Once I compiled Biopython
>>> > long
>>> > ago.
>>> >
>>> > The problem is I do not know how to cle
default to 4ByteUnicode.
( check >>> sys.maxunicode to see what you have; I get 1114111, i.e
>65535 , so I have 4 byte (on Debian) )
So, most likely you have some "hand compiled" Python somewhere ....
- Sebastian Haase
On Tue, Jul 27, 2010 at 4:33 PM, Matthieu Br
multiarray module could
> not be found using IronPython.
>
Hi William,
Why do you think that numpy works in IronPython ?
I thought most Python modules work only with "standard" (C) Python
Numpy depends heavily on C implementations for most of its functi
isn't this related to
http://projects.scipy.org/numpy/ticket/626
percentile() and clamp()
which was set to invalid
-Sebastian
On Sun, May 16, 2010 at 12:11 AM, wrote:
> Author: oliphant
> Date: 2010-05-15 17:11:10 -0500 (Sat, 15 May 2010)
> New Revision: 8413
>
> Modified:
> trunk/numpy/lib
g as float32 binary.
So the problem would "only" be the loading in - rather, going through
- all lines of text from start to end without choking.
This might be better done "by hand", i.e. in standard (non numpy) python:
nums = []
for line in file("myTextFile.txt"):
benchmark?
>
> Sturla
Hi Sturla,
what is this even about ... ? Do you have some references ? It does
indeed sound interesting ... but what kind of code / problem are they
actually testing here ?
Thanks,
Sebastian Haase
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d be useful. For what it's worth, IDL also has a
> function
> called minmax() that does this (e.g.
> http://astro.uni-tuebingen.de/software/idl/astrolib/misc/minmax.html)
>
My most favorite function I wrote many years ago using SWIG, I call
mmms(arr)
which returns a min,max,mean,std.dev
Hi Steven,
this sounds like the library I was looking for.
Would you mind reading my post
[SciPy-User] Global Curve Fitting of 2 functions to 2 sets of data-curves
http://mail.scipy.org/pipermail/scipy-user/2010-June/025674.html
?
I got many interesting answers, where apparently the agreement wa
On Wed, Jun 9, 2010 at 8:19 AM, Pierre GM wrote:
> On Jun 8, 2010, at 4:37 AM, Sebastian Haase wrote:
>> another note:
>> http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#arrays-indexing-rec
>> should not say "record array" - because recarray a &qu
quot;
556 while b:
557 a, b = b, a%b
558 return a
or this:
http://www.geekpedia.com/code120_Find-The-Greatest-Common-Divisor.html
def euclid(numA, numB):
while numB != 0:
numRem = numA % numB
numA = numB
numB = numRem
return numA
HTH,
Sebastian Haase
O
On Tue, Jun 8, 2010 at 5:23 PM, David Goldsmith wrote:
> On Tue, Jun 8, 2010 at 12:10 AM, Sebastian Haase
> wrote:
>>
>> I don't want to complain
>> But what is wrong with a limit of 40kB ? There are enough places where
>> one could upload larger files
Hi,
Is there a reason that np.append converts recarray to ndarray while
np.insert keeps recarray:
>>> type(a)
>>> type(N.append(a,a))
>>> type(N.insert(a,-1, a))
Thanks,
Sebastian Haase
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PS: I guess I should have filed two bug reports sorry.
On Tue, Jun 8, 2010 at 9:46 AM, Sebastian Haase wrote:
> Hi,
>
> http://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html#specifying-and-constructing-data-types
>
> says "f2" instead of "f1"
>
>
data-type fields are named 'f0', 'f2', ..., 'f'
Is there a way for me to directly fix this kind of bug ? -
-Sebastian Haase
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I don't want to complain
But what is wrong with a limit of 40kB ? There are enough places where
one could upload larger files for everyone interested...
My 2 cents,
Sebastian Haase
PS: what is the limit now set to ?
On Mon, Jun 7, 2010 at 11:24 PM, Vincent Davis wrote:
> On Mo
Hi,
I don't know exactly, but try replacing the one line
%apply (float* INPLACE_ARRAY1, int DIM1) {(float *a, int na), (float
*b, int nb)};
with two lines:
%apply (float* INPLACE_ARRAY1, int DIM1) {(float *a, int na)};
%apply (float* INPLACE_ARRAY1, int DIM1) {(float *b, int nb)};
Don't know abo
ery nice (i.e. pleasing to the eye...)
- Sebastian Haase
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objects.
I have that restricted to 3D contiguous data.
scikits.image might already have had this function implementer in a
general way ;-)
Regards,
Sebastian
2010/5/1 Stéfan van der Walt :
> Hi Sebastian
>
> On 27 April 2010 10:27, Sebastian Haase wrote:
>> Hi,
>> I wanted
apply
> directives correctly:
>
> %apply (npy_intp* IN_ARRAY1, int DIM1) {(npy_intp* seq, int n)};
> etc
>
> SWIG should be able to figure it out from there.
>
> On Apr 28, 2010, at 12:58 PM, Charles R Harris wrote:
>
>> On Tue, Apr 27, 2010 at 2:27 AM, Sebas
typemaps of numpy.i I can choose between NPY_LONG and NPY_INT.
But those are sometimes 32 sometimes 64 bit, depending on the system.
Any ideas ... ?
Thanks,
Sebastian Haase
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http
NPY_INT.
But those are sometimes 32 sometimes 64 bit, depending on the system.
Any ideas ... ?
Thanks,
Sebastian Haase
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On Tue, Apr 20, 2010 at 2:23 AM, Ralf Gommers
wrote:
>
>
> On Mon, Apr 19, 2010 at 9:19 PM, Ralf Gommers
> wrote:
>>
>>
>> On Mon, Apr 19, 2010 at 4:21 PM, Ralf Gommers
>> wrote:
>>>
>>>
>>> On Mon, Apr 19, 2010 at 3:35 PM, Sebastia
Hi,
Congratulations. I might be unnecessarily dense - but what SciPy am I
supposed to use with the new numpy 1.4.1 for Python 2.5? I'm surprised
that there are no SciPy 0.7.2 binaries for Python 2.5 - is that
technically not possible ?
Thanks,
Sebastian Haase
On Mon, Apr 19, 2010 at 6:
did you mean to send this to the SWIG list !?
-S.
On Thu, Apr 15, 2010 at 11:53 AM, Michel Dupront
wrote:
> Hello,
>
> With the following example, given in the documentation:
>
> struct Vector {
> double x,y,z;
> };
> %extend Vector {
> Vector __add__(Vector *other) {
> Vector v;
Hi Ralf,
congratulation to the new RC.
Just for the record, where did you announce RC1 ? Only on numpy-dev ?
On Sun, Apr 11, 2010 at 11:09 AM, Ralf Gommers
wrote:
> For SciPy there will be no 2.5 binaries -
> because 0.7.x is built against NumPy 1.2
Could you elaborate on this ? I thought the n
ot; to get somthing that
is automatically optimized for your CPU.
(You are using 32 bit XP or Vista or 7, right ?)
Regards,
Sebastian Haase
On Sun, Apr 11, 2010 at 12:44 AM, AKI wrote:
> There is too much out there which is making me confuse, I want to install
> Numpy and Scipy on cygwin.
On Sat, Mar 20, 2010 at 8:22 PM, Anne Archibald
wrote:
> On 20 March 2010 14:56, Dag Sverre Seljebotn
> wrote:
>> Pauli Virtanen wrote:
>>> Anne Archibald wrote:
I'm not knocking numpy; it does (almost) the best it can. (I'm not
sure of the optimality of the order in which ufuncs are ex
eel about unifying the function vs. the method behavior ?
One could add an addition option like
`repeat` or `fillZero`.
One could (at first !?) keep opposite defaults to not change the
current behavior.
But this way it would be most visible and clear what is going on.
Regards,
Sebastian Haase
_
On Mon, Feb 15, 2010 at 11:17 AM, Francesc Alted wrote:
> A Sunday 14 February 2010 13:40:17 Stéfan van der Walt escrigué:
>> On 14 February 2010 01:23, David Cournapeau wrote:
>> > I think that there should be absolutely no change whatsoever, for two
>> > reasons: - the release is in a few weeks
as asking about recently.
(I'm mostly referring to an old thread of Aug 2008:
http://www.mail-archive.com/numpy-discussion@scipy.org/msg11898.html
)
Oh, and is there a proposed name for that attribute (on the Python side) ?
Regards,
Sebastian Haase
___
t;
> Thus,
>
> numpy.divide(seq1, seq1, sig=('d',)*3)
>
> will do what you want.
>
> -Travis
>
Hi,
going through my very old emails - I was wondering if this has gotten
better documented by now !?
(and where ?)
-Sebastian Haase
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Hi,
I solved the problem:
GMail apparently filtered all numpy-ticket and numpy-svn mails into spam.
In case someone benefits from thins info.
-Sebastian
On Mon, Jan 25, 2010 at 3:54 PM, Ryan May wrote:
> On Mon, Jan 25, 2010 at 2:55 AM, Sebastian Haase wrote:
>> Hi,
>> long
>> > Python 2.6.4
>> > Numpy numpy-1.4.0-win32-superpack-
>> > python2.6.exe
>>
>> Are you using a 32 bits python ? We only provide 32 bits installers
>> for now on windows2,
>>
Hello,
Regarding this post - is there a "non official&qu
Hi,
long time ago I had subscript to get both scipy-tickets and
numpy-tickets emailed.
Now scipy-tickets apparently started emailing again on 17th of Januar.
Will numpy-tickets also come back "by itself" - or should I resubscribe?
Regards,
Sebas
Hi,
Apparently this very nice looking icons (4 of the 5 icons or so)
at
http://numpy.scipy.org/
are broken links.
Regards,
Sebastian Haase
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