I'm getting a 404 on that url.
--bb
On Wed, Oct 22, 2008 at 7:36 PM, David Cournapeau
[EMAIL PROTECTED] wrote:
Hi,
A quick note to mention I have generated a superpack installer for
scipy, for testing purposes. This is similar to numpy superpack
installer: the installer detects your CPU
On Tue, Oct 14, 2008 at 2:56 PM, Stéfan van der Walt [EMAIL PROTECTED] wrote:
Hi Matthew
Here is an implementation in Python, ctypes and in weave:
http://mentat.za.net/source/pnpoly.tar.bz2
snarf
Thanks! Looks better than what I wrote.
--bb
___
On Tue, Oct 14, 2008 at 8:46 AM, Pierre GM [EMAIL PROTECTED] wrote:
2008/10/13 Mathew Yeates [EMAIL PROTECTED]
Is there a routine in scipy for telling whether a point is inside a
convex 4 sided polygon?
Mathew,
You could use OGR (www.gdal.org)
Example
-
import osgeo.ogr
On Sat, Oct 11, 2008 at 2:16 PM, Linda Seltzer
[EMAIL PROTECTED] wrote:
I would appreciate it if someone could answer my question without
referring to subjects such as APIs and interfaces, since I am only
concerned with a mathematical application at this time.
In most tutorials, array examples
Anything that defeats the purpose of doing * imports is good in my book. :-)
Seriously, willy nilly import of any package into the base namespace
is just asking for trouble.
Tell your class to import numpy as np, then there will be no chance of
confusion.
Then later tell them about from numpy
On Fri, Jul 11, 2008 at 5:55 AM, Anne Archibald [EMAIL PROTECTED]
wrote:
2008/7/10 Dan Lussier [EMAIL PROTECTED]:
We seem to get quite a few posts from people wanting some kind of
spatial data structure (whether they know it or not). Would it make
sense to come up with some kind of compiled
On Sat, Apr 26, 2008 at 10:27 AM, Charles R Harris
[EMAIL PROTECTED] wrote:
On Fri, Apr 25, 2008 at 6:38 PM, Alan G Isaac [EMAIL PROTECTED] wrote:
OK, we are not converging in time for the release.
So can we at least raise a TypeError on scalar
indexing of matrices, so that we remain free
On Thu, Apr 24, 2008 at 11:16 AM, Timothy Hochberg
[EMAIL PROTECTED] wrote:
[CHOP]
The proposals thus far don't address two of the major issues I have with the
matrix class:
The thing that seems missing to me is support for LAPACK's banded and
packed (triangular) storage formats. I don't
On Fri, Apr 25, 2008 at 10:23 AM, Christopher Barker
[EMAIL PROTECTED] wrote:
Alan G Isaac wrote:
On Thu, 24 Apr 2008, Christopher Barker apparently wrote:
I suppose a Vector can be either a (n,1) or a (1,n)
matrix that allows single indexing.
This bothers me.
So, if X is 2
On Mon, Apr 14, 2008 at 10:07 AM, David Cournapeau
[EMAIL PROTECTED] wrote:
Jarrod Millman wrote:
Hello,
David Cournapeau has prepared a new win32 installer, which is aimed at
solving the recurring problem of non working atlas on different sets
of CPU. This installer simply checks
On Mon, Apr 14, 2008 at 1:08 PM, David Cournapeau
[EMAIL PROTECTED] wrote:
Bill Baxter wrote:
Seems to work here now, too!
It doesn't tell you in an easy to see place what version of SSE it
decides to use. Do you think that's ok?
I simply did not think it was useful information
If you're really going to try to do it, Charles, there's an
implementation of float16 in the OpenEXR toolkit.
http://www.openexr.com/
Or more precisely it's in the files in the Half/ directory of this:
http://download.savannah.nongnu.org/releases/openexr/ilmbase-1.0.1.tar.gz
I don't know if it's
On Jan 9, 2008 8:03 AM, Charles R Harris [EMAIL PROTECTED] wrote:
On Jan 8, 2008 1:58 PM, Bill Baxter [EMAIL PROTECTED] wrote:
If you're really going to try to do it, Charles, there's an
implementation of float16 in the OpenEXR toolkit.
http://www.openexr.com/
Or more precisely it's
On Jan 9, 2008 9:18 AM, Charles R Harris [EMAIL PROTECTED] wrote:
On Jan 8, 2008 5:01 PM, Bill Baxter [EMAIL PROTECTED] wrote:
On Jan 9, 2008 8:03 AM, Charles R Harris [EMAIL PROTECTED]
wrote:
On Jan 8, 2008 1:58 PM, Bill Baxter [EMAIL PROTECTED] wrote:
If you're really going to try
http://www.selenic.com/mercurial/wiki/index.cgi/MergeProgram
This is a bit puzzling. I understand better merging isn't the only
reason to choose DVCS, but the above page basically says that
Mercurial just uses whatever external merge program it can find. So
the file-level merging sounds like it
On Jan 6, 2008 6:38 PM, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
http://www.selenic.com/mercurial/wiki/index.cgi/MergeProgram
This is a bit puzzling. I understand better merging isn't the only
reason to choose DVCS, but the above page basically says that
Mercurial just
I've been playing around with Hg on windows for an hour or so now. My
overall impression is that the installation process isn't quite there
yet.
The basic binary installer goes very smoothly, and after that I was
able to open up a prompt and type hg commands right away. But going
through the
On Jan 7, 2008 2:30 AM, David Cournapeau [EMAIL PROTECTED] wrote:
to what the trade-offs are. It mentions batteries included binary
distributions as one solution without giving any link.
FIY, it seems you can find it here (I have not tried it):
http://qct.sourceforge.net/Mercurial-BI.html
On Jan 6, 2008 8:25 AM, Stefan van der Walt [EMAIL PROTECTED] wrote:
I recall something you said to David last week, regarding merges with
SVN: that a person never knows how to do it until *after* you've done
it! We often make branches in scipy and numpy, and stand a lot to
gain from a
2007/11/2, Bill Baxter [EMAIL PROTECTED]:
On Nov 2, 2007 3:50 PM, Matthieu Brucher [EMAIL PROTECTED]
wrote:
You can look at Vigra (but I don't know if there is linear algebra, but
there are views, multidimensional containers, ...).
Thanks for the link. Hadn't heard of that one
Does anyone know of a C or C++ library that's similar to NumPy?
Seems like all the big C++ efforts are focused on linear algebra
rather than general purpose multidimensional arrays.
I've written a multidimensional array class in the D programming
language with an API modeled loosely after
] wrote:
http://www.oonumerics.org/blitz/
On Fri, 2 Nov 2007, Bill Baxter wrote:
Does anyone know of a C or C++ library that's similar to NumPy?
Seems like all the big C++ efforts are focused on linear algebra
rather than general purpose multidimensional arrays.
I've written
On Nov 2, 2007 3:50 PM, Matthieu Brucher [EMAIL PROTECTED] wrote:
You can look at Vigra (but I don't know if there is linear algebra, but
there are views, multidimensional containers, ...).
Thanks for the link. Hadn't heard of that one.
--bb
___
On 10/17/07, Julien Hillairet [EMAIL PROTECTED] wrote:
Hello,
First of all, I'm sorry if this question had already been asked. I've
searched on the gmane archive and elsewhere on internet, but I didn't found
the answer to my question.
As expected, the dot product of 2 'classical' vectors
On 9/21/07, Alexander Schmolck [EMAIL PROTECTED] wrote:
David Cournapeau [EMAIL PROTECTED] writes:
Alexander Schmolck wrote:
Charles R Harris [EMAIL PROTECTED] writes:
The automatic handling of pointers for the default allocation type is
also
convenient and makes it reasonable to
On 9/6/07, Christopher Barker [EMAIL PROTECTED] wrote:
Bill Spotz wrote:
However, I'm beginning to have my doubts about valarrays. I'm reading:
Josuttis, Nicolai M. 1999. The C+= Standard Library: A Tutorial and
Reference
It's 8 years old now, but he writes:
The valarray classes were not
I'm not subscribed to the main Python list, so I'll just ask here.
It looks like the protocol doesn't support any floating point image formats,
judging from the big table of formats in the PEP. These are becoming more
important these days in computer graphics as a way to pass around high
Except last I checked numpy.linalg doesn't have an efficient method for
retrieving only a few PCA components.
So yeh, you can do PCA but it will be *really* slow on most of the types of
problems that PCA is usually used for.
You need something like an ARPACK wrapper, which I think they have in
For those who are not aware, I have just discovered that the graphics
performance of VMWare Player is *MUCH* better than that of VMWare
Server. The latter is apparently optimized for disconnected headless
operation and access via a network, and so it uses some heavyweight
remote protocol for all
There is a scipy.sparse package but it seems to be fairly limited currently.
Anyway there's definitely nothing like MATLAB's ability to change a
matrix to sparse and still use most of the algorithms on it.
Good sparse support vs. not so much sparse support should probably be
added to the big
No, there's a link in the middle of the page that says ALSO available
for AMD 64bit, but the link you're looking for is in the upper right
corner of the page, and is for Intel 32:
Is there a way to obtain the equivalent of MAX_INT for the integral
types numpy knows about?
I know about numpy.finfo for the floating point types, but is there
anything like that for integral types?
Thanks,
--Bill
___
Numpy-discussion mailing list
Great. Thanks!
Is there a plan to expose that as numpy.iinfo?
--bb
On 5/23/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
Is there a way to obtain the equivalent of MAX_INT for the integral
types numpy knows about?
I know about numpy.finfo for the floating point types
On 5/17/07, Anne Archibald [EMAIL PROTECTED] wrote:
Hi,
Numpy has a max() function. It takes an array, and possibly some extra
arguments (axis and default). Unfortunately, this means that
numpy.max(-1.3,2,7)
-1.3
This can lead to surprising bugs in code that either explicitly
expects it to
On 5/7/07, dmitrey [EMAIL PROTECTED] wrote:
hi all,
I have some troubles with Python2.5+matplotlib, so now I'm using
Python2.4.3. I failed to compile both numpy1.0.1 and 1.0.2
(Mandrake2007) so currently I'm using 1.0b.
Howto check if numpy.array instances x and y are equal? (i.e. all
On 4/29/07, Benjamin Thyreau [EMAIL PROTECTED] wrote:
Le Samedi 28 Avril 2007 20:03, Simon Berube a écrit:
(...)
On the other hand, if you are more interested in small
projects where speed of development is more important than long term
sustainability of the code Matlab is probably
It's not on the matlab page simpy because numpy.tile didn't exist when
the page was created. It should be fixed. But repmat is still there
in numpy.matlib (I think that was what it was called.)
--bb
On 4/30/07, dmitrey [EMAIL PROTECTED] wrote:
if it was excluded for any reasons, corresponding
On 4/26/07, Robert Kern [EMAIL PROTECTED] wrote:
Sturla Molden wrote:
On 4/25/2007 8:34 PM, Robert Kern wrote:
The things that I get annoyed with every time I have to read some Matlab
code
are the lack of namespaces and first-class function objects.
Matlab does have first-class
Easy!
a[b==i]
--bb
On 4/24/07, Tommy Grav [EMAIL PROTECTED] wrote:
I have two arrays:
a = numpy.array([0,1,2,3,4,5,6,7,8,9])
b = numpy.array([0,0,1,1,2,2,0,1,2,3])
I would like to get the part of a that corresponds
to where b is equal to i.
For example:
i = 0 = ([0,1,6])
i = 1 =
On 4/21/07, Dennis Cooke [EMAIL PROTECTED] wrote:
I'm an ex-Matlab user trying to come up to speed with python and numpy.
Howdy. First, I hope you've checked out the page:
http://www.scipy.org/NumPy_for_Matlab_Users
I'm
confused on how to use the Numpy functions nonzero() and where(). In
On 4/22/07, Travis Oliphant [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
What's the right way to make a new numpy array that's a copy of some C data?
What do you mean by /copies/ the void * data pointer for you? Do you
mean the API would
1) Create new memory for the array
2) Copy
representation of a numpy array to a
simple C array and vice et versa), if I remember correctly.
Yes, I will try to use this solution, I have trouble figuring how passing
the output numpy array, Bill Baxter asked the same question today, at
exactly the same time ;) Well, I saw on the docs
Oops. Looks like I forgot to attach the test program that generated
that output so you can tell what dist2g actually does.
Funny thing is -- despite being written in C, hypot doesn't actually
win any of the test cases for which it's applicable.
--bb
On 4/17/07, Bill Baxter [EMAIL PROTECTED
Be sure to check out the numpy examples page too.
http://www.scipy.org/Numpy_Example_List
Always a good resource if you're not sure how to call a particular command.
--bb
On 4/18/07, Miquel Poch [EMAIL PROTECTED] wrote:
Hi,
I've found the next expression write it in Matlab,
Rtx =
On 4/14/07, Hugo [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
On 4/14/07, Alan Isaac [EMAIL PROTECTED] wrote:
On 4/13/07, Tommy Grav [EMAIL PROTECTED] wrote:
how do I find the index of the minimum value of an numpy
array? Example a = array([1.,2.,0.4,3.]) I want the i=2
Just
On 4/12/07, Matthew Koichi Grimes [EMAIL PROTECTED] wrote:
It's better than nothing. I basically want some sanity-check assert code
that can assert that some arrays are in fact sub-arrays of another
array. Your OWNDATA suggestion meets me halfway by allowing me to check
that these sub-arrays
I'm pretty sure dstack([x,y]) is what you're after.
--bb
On 4/10/07, mark [EMAIL PROTECTED] wrote:
Hello list -
I want to combine two arrays into one, and I cannot find a clean way
to do it.
I have the following two arrays:
x = array([[1, 2, 3],
[4, 5, 6]])
y =
On 4/9/07, Matt Knox [EMAIL PROTECTED] wrote:
Andrew Straw strawman at astraw.com writes:
Is there any place on the Wiki that lists all the known software that
uses Numpy in some way?
Great idea. I renamed the page to http://www.scipy.org/Projects so
Numpy-only users wouldn't feel
On 4/4/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
Is there any place on the Wiki that lists all the known software that
uses Numpy in some way?
It would be nice to start collecting such a list if there isn't one
already. Screenshots would be nice too
Ok, I got another hopefully easy question:
Why this:
class Point(object):
...
Instead of the style that's used in the Python tutorial in the
'classes' chapter:
class Point:
...
--bb
On 4/5/07, Robert Kern [EMAIL PROTECTED] wrote:
Sebastian Haase wrote:
OK, but
On 4/5/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
Ok, I got another hopefully easy question:
Why this:
class Point(object):
...
Instead of the style that's used in the Python tutorial in the
'classes' chapter:
class Point
On 4/5/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
On 4/5/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
Ok, I got another hopefully easy question:
Why this:
class Point(object):
...
Instead of the style that's used in the Python
Is there any place on the Wiki that lists all the known software that
uses Numpy in some way?
I just started playing with the Inkscape vector drawing progam. It
implements extensions using python, and I noticed that one of the
extensions in the latest release uses numpy (and not Numeric or
What's the best way of assembling a big matrix from parts?
I'm using lagrange multipliers to enforce constraints and this kind of
matrix comes up a lot:
[[ K, G],
[ G.T , 0]]
In matlab you can use the syntax
[K G; G' zeros(nc)]
In numpy I'm using
vstack([ hstack([ K,G ]), hstack([
atleast_1d will do the trick
In [11]: a = 3
In [12]: a = atleast_1d(a)
In [13]: shape(a)
Out[13]: (1,)
In [14]: a.shape # also works ;-)
Out[14]: (1,)
In [15]: a[0]
Out[15]: 3
--bb
On 3/30/07, Mark Bakker [EMAIL PROTECTED] wrote:
Hello list -
I have a function that normally accepts an
On 3/30/07, Timothy Hochberg [EMAIL PROTECTED] wrote:
Note, however that you can't (for instance) multiply column vector with
a row vector:
(c)(r)
Traceback (most recent call last):
...
TypeError: Cannot matrix multiply columns with anything
That should be allowed. (N,1)*(1,M) is just
On 3/30/07, Timothy Hochberg [EMAIL PROTECTED] wrote:
On 3/29/07, Bill Baxter [EMAIL PROTECTED] wrote:
On 3/30/07, Timothy Hochberg [EMAIL PROTECTED] wrote:
Note, however that you can't (for instance) multiply column vector with
a row vector:
(c)(r)
Traceback (most recent call
On 3/27/07, Alan Isaac [EMAIL PROTECTED] wrote:
On 3/27/07, Alan Isaac [EMAIL PROTECTED] wrote:
May I see a use case where the desired
return when iterating through a matrix
is rows as matrices? That has never
been what I wanted.
On Tue, 27 Mar 2007, Bill Baxter wrote:
AllMyPoints
On 3/25/07, Colin J. Williams [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
On 3/25/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
I don't know. Given our previous history with convenience functions with
different calling semantics (anyone remember rand()?), I think
On 3/26/07, Alan G Isaac [EMAIL PROTECTED] wrote:
Em Dom, 2007-03-25 às 13:07 -0400, Alan G Isaac escreveu:
x[1]
matrix([[1, 0]])
feels wrong. (Similarly when iterating across rows.)
On Sun, 25 Mar 2007, Paulo Jose da Silva e Silva apparently wrote:
I think the point here is
On 3/26/07, Colin J. Williams [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
This may sound silly, but I really think seeing all those brackets is
what makes it feel wrong. Matlab's output doesn't put it in your
face that your 4 is really a matrix([[4]]), even though that's what
On 3/26/07, Charles R Harris [EMAIL PROTECTED] wrote:
What might work better is simply some sort of sign that causes a function to
be parsed as infix, x @dot y for instance, although Python already uses @
for other things. I don't know what symbols are left unused at this point,
maybe ! , $,
in x: print item.__repr__()
...
matrix([[1, 2]])
matrix([[3, 4]])
On Mon, 26 Mar 2007, Bill Baxter apparently wrote:
This may sound silly, but I really think seeing all those
brackets is what makes it feel wrong.
I appreciate the agreement that it feels wrong, but
I dispute
On 3/24/07, Anne Archibald [EMAIL PROTECTED] wrote:
On 24/03/07, Bill Baxter [EMAIL PROTECTED] wrote:
I mentioned in another thread Travis started on the scipy list that I
would find it useful if there were a function like dot() that could
multiply more than just two things.
Here's
On 3/24/07, Charles R Harris [EMAIL PROTECTED] wrote:
On 3/23/07, Anne Archibald [EMAIL PROTECTED] wrote:
On 23/03/07, Charles R Harris [EMAIL PROTECTED] wrote:
Anyone,
What is the easiest way to detect in python/C if an object is a subclass
of
ndarray?
Um, how about
On 3/24/07, Steven H. Rogers [EMAIL PROTECTED] wrote:
Anne Archibald wrote:
P.S. reduce isn't even a numpy thing, it's one of python's
much-neglected lispy functions.
It looks like reduce(), map(), and filter() are going away for Python
3.0 since GvR believes that they are redundant
On 3/24/07, Anne Archibald [EMAIL PROTECTED] wrote:
On 24/03/07, Bill Baxter [EMAIL PROTECTED] wrote:
Nice, but how does that fare on things like mdot(a,(b,c),d) ? I'm
pretty sure it doesn't handle it.
I think an mdot that can only multiply things left to right comes up
short compared
On 3/25/07, Perry Greenfield [EMAIL PROTECTED] wrote:
On Mar 24, 2007, at 2:52 PM, Bill Baxter wrote:
On 3/24/07, Steven H. Rogers [EMAIL PROTECTED] wrote:
Anne Archibald wrote:
P.S. reduce isn't even a numpy thing, it's one of python's
much-neglected lispy functions.
It looks
On 3/25/07, Steven H. Rogers [EMAIL PROTECTED] wrote:
The generator expression PEP doesn't say this, but the Python 3000
planning PEP (http://www.python.org/dev/peps/pep-3100/) has map() and
filter() on the 'to-be-removed' list with a parenthetic comment that
they can stay. Removal of
On 3/25/07, Alan G Isaac [EMAIL PROTECTED] wrote:
On Sun, 25 Mar 2007, Bill Baxter apparently wrote:
So if one just
changes the example to
reduce(lambda s, a: s * a.myattr, data, 1)
How does one write that in a simplified way using generator
expressions without calling on reduce
On 3/25/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
I think it's fine for filter()/reduce()/map() to be taken out of
builtins and moved to a standard module, but it's not clear that
that's what they're going to do. That py3K web page just says remove
reduce()... done
On 3/25/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
I don't know. Given our previous history with convenience functions with
different calling semantics (anyone remember rand()?), I think it probably
will
confuse some people.
I'd really like to see it on a cookbook page
On 3/24/07, Sebastian Haase [EMAIL PROTECTED] wrote:
Then of course, there's r_ and c_:
c = numpy.c_[a,b]
c = numpy.r_[a[None],b[None]].T
--bb
So,
None is the same as newaxis - right?
Yes, newaxis is None. None is newaxis. Same thing. I just don't see
much advantage in
I mentioned in another thread Travis started on the scipy list that I
would find it useful if there were a function like dot() that could
multiply more than just two things.
Here's a sample implementation called 'mdot'.
mdot(a,b,c,d) == dot(dot(dot(a,b),c),d)
mdot(a,(b,c),d) ==
On 3/20/07, Christian [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
I found out that my version of matplotlib (0.87.7) does not know all methods
that ezplot is expecting to be known.
Aha. Thanks for diagnosing the problem. Should be fixed in the
latest ezplot I just uploaded to pypi
On 3/19/07, Bill Baxter [EMAIL PROTECTED] wrote:
I wrote a little python module to go fetch the Numpy examples from the
scipy wiki page, parse them, and print out entries.
Is there a good place on the wiki for this?
It didn't really seem right in the cookbook, and it doesn't quite fit
recommended, though, because it
re-downloads the examples page every time you call it. Caching to a
local file is not currently supported.)
You can also create your own instance of the NumpyExamples object if
you feel like it
Author: Bill Baxter
Date of creation: March 19 2007
version: 0.1
License: public
I just had a need to append a column of 1's to an array, and given how
big numpy is on broadcasting I thought this might work:
column_stack((m1,m2, 1))
But it doesn't.
Is there any reason why that couldn't or shouldn't be made to work?
--bb
___
)
Just a thought --
-Sebastian Haase
On 3/13/07, Bill Baxter [EMAIL PROTECTED] wrote:
Howdy Folks,
I was missing the good ole days of using Matlab back at the Uni when I
could debug my code, stop at breakpoints and plot various data without
fear of blocking the interpreter process
On 3/15/07, Bill Baxter [EMAIL PROTECTED] wrote:
Thanks, Sebastian. I'll take a look at Pyro. Hadn't heard of it.
I'm using just xmlrpclib with pickle right now.
I took a look at Pyro -- it looks nice.
The only thing I couldn't find, though, is how decouple the wx GUI on
the server side from
Howdy Folks,
I was missing the good ole days of using Matlab back at the Uni when I
could debug my code, stop at breakpoints and plot various data without
fear of blocking the interpreter process.
Using ipython -pylab is what has been suggested to me in the past,
but the problem is I don't do my
There is numpy.linalg.norm.
Here's what it does:
def norm(x, ord=None):
x = asarray(x)
nd = len(x.shape)
if ord is None: # check the default case first and handle it immediately
return sqrt(add.reduce((x.conj() * x).ravel().real))
if nd == 1:
if ord == Inf:
Has enough time passed with no top level random function that we can
now put one back in?
If I recall, the former top level rand() was basically removed because
it didn't adhere to the shapes are always tuples convention.
Has enough time passed now that we can put something like it back in
the
Is this code from linalg.lstsq for the complex case correct?
lapack_routine = lapack_lite.zgelsd
lwork = 1
rwork = zeros((lwork,), real_t)
work = zeros((lwork,),t)
results = lapack_routine(m, n, n_rhs, a, m, bstar, ldb, s, rcond,
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