On Wed, 2008-11-19 at 23:41 -0800, Hoyt Koepke wrote:
> Attached.
>
> I had a bunch of issues getting things to install with lapack and
> ATLAS.
Which ones ?
> In the end I had to specify the following environment
> variables (+ appropriate command line options to ATLAS & lapack) to
> get it t
Sorry;
I also added '-fPIC' to the compile flags, though it may work without
having it there. I just got errors related to not having it and so
threw it at everything...
--Hoyt
On Wed, Nov 19, 2008 at 11:41 PM, Hoyt Koepke <[EMAIL PROTECTED]> wrote:
> Attached.
>
> I had a bunch of issues get
Attached.
I had a bunch of issues getting things to install with lapack and
ATLAS. In the end I had to specify the following environment
variables (+ appropriate command line options to ATLAS & lapack) to
get it to work. If there's an easier way, let me know.
export FLAGS='-march=core2 -mtune=
On Wed, 2008-11-19 at 23:23 -0800, Hoyt Koepke wrote:
> Hello,
>
> Sorry about this bug report I know how much us programmers like
> these kind of bugs :-/.
>
> In testing the latest svn version of numpy (6083), I get a memory
> corruption error:
>
> test_csingle (test_linalg.TestSolve) ...
Hello,
Sorry about this bug report I know how much us programmers like
these kind of bugs :-/.
In testing the latest svn version of numpy (6083), I get a memory
corruption error:
test_csingle (test_linalg.TestSolve) ... ok
test_double (test_linalg.TestSolve) ... ok
test_empty (test_linalg.Te
On Wed, Nov 19, 2008 at 10:58 PM, Scott Sinclair wrote:
> 2008/11/20 Charles R Harris <[EMAIL PROTECTED]>:
> >
> > On Wed, Nov 19, 2008 at 3:20 PM, Fabrice Silva <[EMAIL PROTECTED]>
> > wrote:
> >>
> >> Le mercredi 19 novembre 2008 à 14:27 -0500, Alan G Isaac a écrit :
> >> > So my question is no
2008/11/20 Charles R Harris <[EMAIL PROTECTED]>:
>
> On Wed, Nov 19, 2008 at 3:20 PM, Fabrice Silva <[EMAIL PROTECTED]>
> wrote:
>>
>> Le mercredi 19 novembre 2008 à 14:27 -0500, Alan G Isaac a écrit :
>> > So my question is not just what is the algorithm
>> > but also, what is the documentation go
On Wed, Nov 19, 2008 at 22:36, Frank Lagor <[EMAIL PROTECTED]> wrote:
> I have only used pickle a little and I did not see this in the docstring:
>
> Is there anyway to unpickle in reverse order?
No.
This, and your previous question, are mostly off-topic for
numpy-discussion. You may want to ask
I have only used pickle a little and I did not see this in the docstring:
Is there anyway to unpickle in reverse order?
It appears the pickling works like a queue.
I execute:
pickle.dump(obj1,file)
pickle.dump(obj2,file)
Then when I go to retrieve:
pickle.load(file) returns obj1
pickle.load(fil
On Wed, Nov 19, 2008 at 3:20 PM, Fabrice Silva <[EMAIL PROTECTED]>wrote:
> Le mercredi 19 novembre 2008 à 14:27 -0500, Alan G Isaac a écrit :
> > So my question is not just what is the algorithm
> > but also, what is the documentation goal?
>
> Concerning the algorithm (only):
> in Joshua answer,
Thank you very much Robert.
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Hello,
Can I request that "mod" be added to numpy.ma ?
Thx,
C>
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On Wed, Nov 19, 2008 at 17:30, Frank Lagor <[EMAIL PROTECTED]> wrote:
> Hi,
>
> Can someone please explain what happens here:
>
> In testfile.py:
>
> x = 5
> def arbFunc():
>print x
You get an UnboundLocalError here.
>del x
During the compilation process, Python sees this statement and a
Hi,
Can someone please explain what happens here:
In testfile.py:
x = 5
def arbFunc():
print x
del x
print "Done with Test"
arbFunc()
Then run the file with python testfile.py
As opposed to
x = 5
print x
del x
print "Done with Test"
Which of course works fine. This question is of
On Wed, Nov 19, 2008 at 02:27:11PM -0500, Alan G Isaac wrote:
> So my question is not just what is the algorithm
> but also, what is the documentation goal?
That's a good question. I feel the documentation should be as precise as
possible, and thus answer this question. Currently it doesn't, but t
A library for matlab io, perhaps this could be useful?
http://sourceforge.net/projects/matio
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Le mercredi 19 novembre 2008 à 14:27 -0500, Alan G Isaac a écrit :
> So my question is not just what is the algorithm
> but also, what is the documentation goal?
Concerning the algorithm (only):
in Joshua answer, you have might have seen that solve is a wrapper to
lapack routines *gesv (z* or d* d
On Wed, Nov 19, 2008 at 07:15, Neal Becker <[EMAIL PROTECTED]> wrote:
> What's the best way to convert a pair of real arrays representing real and
> imag parts to a complex array?
What do you mean by "best"? Easiest to type? Easiest to read? Fastest?
Memory efficient?
Ideally, they'd all be the
Thanks Charles and Josh, but my question
about the documentation goal remains.
Here is how this came up. I mentioned
to a class that I have using NumPy that
solving Ax=b with an inverse is
computationally wasteful and also has
accuracy problems, and I recommend
using `solve` instead. So the ques
On Wed, Nov 19, 2008 at 8:14 AM, Alan G Isaac <[EMAIL PROTECTED]> wrote:
> If if look at help(np.linalg.solve) I am
> told what it does but not how it does it.
> If I look at
> http://www.scipy.org/doc/numpy_api_docs/numpy.linalg.linalg.html#solve
> there is even less info. I'll guess the
> algor
If you use iPython and use "numpy.linalg.solve??", you can see the
source code of the file numpy/linalg/linalg.py that corresponds to the
solve(a,b) function, not just the docstring:
def solve(a, b):
"""
Solve the equation ``a x = b`` for ``x``.
Parameters
--
a : array
If if look at help(np.linalg.solve) I am
told what it does but not how it does it.
If I look at
http://www.scipy.org/doc/numpy_api_docs/numpy.linalg.linalg.html#solve
there is even less info. I'll guess the
algorithm is Gaussian elimination, but how
would I use the documentation to confirm this?
(
What's the best way to convert a pair of real arrays representing real and imag
parts to a complex array?
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On Mon, Oct 20, 2008 at 02:45:57PM -0500, Robert Kern wrote:
> > If it would be desireable, I could try to find time for a patch. I could
> > use this in my work, and if I am going to implement it, I might as well
> > do it for everybody.
> load() would need to grow a mode= keyword argument to pro
2008/11/19 Robert Kern <[EMAIL PROTECTED]>:
> On Wed, Nov 19, 2008 at 01:31, David Warde-Farley <[EMAIL PROTECTED]> wrote:
>> On 18-Nov-08, at 3:06 PM, Robert Kern wrote:
>>
>>> I like to discourage this use of where(). For some reason, back in
>>> Numeric's days, where() got stuck with two functio
Hi Robert,
2008/11/18 Robert Young <[EMAIL PROTECTED]>:
> Is there a method in NumPy that reduces a matrix to it's reduced row echelon
> form? I'm brand new to both NumPy and linear algebra, and I'm not quite sure
> where to look.
I use the Sympy package. It is small, easy to install, runs on pu
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