On Thu, Apr 29, 2010 at 12:30 PM, Pauli Virtanen p...@iki.fi wrote:
Wed, 28 Apr 2010 14:12:07 -0400, Alan G Isaac wrote:
[clip]
Here is a related ticket that proposes a more explicit alternative:
adding a ``dot`` method to ndarray.
http://projects.scipy.org/numpy/ticket/1456
I kind of
.
PY_ARRAY_UNIQUE_SYMBOL should only be used when you want to split your
extension into separately compilation units (object files).
David
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see any downsides (except maybe adding one more to the
huge list of methods ndarray already has).
Wonderful. Thanks for jumping on it.
David
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can check the path of the package after import:
python -c import numpy; print numpy.__file__
David
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really there for a good reason. IMHO, of course.
David
David
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On 04/27/2010 01:08 AM, threexk threexk wrote:
David Cournapeau wrote:
On Mon, Apr 26, 2010 at 2:42 AM, threexk threexk
thre...@hotmail.com wrote:
Hello,
I recently uninstalled the NumPy 1.4.0 superpack for Python 2.6 on
Windows
7, and afterward a dialog popped up that said 1
).
David
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about the other binary ops? I would say, matrix goes with matrix, array
with array, never the two shall meet unless you explicitly coerce. The ability
to mix the two in a single expression does more harm than good, IMHO.
David
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a workaround to share? I really just want to track a
few arrays in a friendly way from within Python (I am aware of the
existance of C-level profilers).
I think heapy has some hooks so that you can add support for
extensions. Maybe we could provide a C API in numpy to make this easy,
David
Hi Matt,
I don't think the memmap code support this. However, you can stack memmaps
just as easily as arrays, so if you define individual memmaps for each slice
and stack them (numpy.vstack), the resulting array will behave as a regular
3D array.
HTH,
David H.
On Wed, Apr 21, 2010 at 3:41 PM
the CPU version :)
http://deeplearning.net/software/theano/
David
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comments are welcomed there,
cheers,
David
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solutions I could see
are: using an enviroment geared toward IEEE 754 compliance (CPU
emulation), simply use one of the existing package to run code on
GPU, or use software-implemented FPU. The latter meaning that you
cannot use linear algebra and so on, at least not with just
numpy/scipy,
David
this is? The
dialog gave no indication. Is an uninstall log with details generated
anywhere?
There should be one in C:\Python*, something like numpy-*-wininst.log
Perhaps it is some shared DLL, but I have no idea which!
The numpy installer does not have any shared DLL,
cheers,
David
for each package, and make sure you're careful about running more than
one version of Python.
The beauty of --user is that you don't need PYTHONPATH, and it is
interpreter specific (at least if the package is correctly done).
PYTHONPATH is becoming a pain with python 3.*
cheers,
David
files for entry points which are not removed by uninstall -u,
etc...). Those are non issues for the experienced users, but a pain in
my experience for beginners.
The easy and reliable solution for non root install is PYTHONPATH for
python 2.6 and install --user for python = 2.6.
cheers,
David
by python (for example at the python prompt).
cheers,
David
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became so big so that numpy is now 10 Mb.
David
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not build scipy properly: you need to make sure that everything
is built with exactly the same fortran compiler. One way to check this
is to do ldd on the .so files which fail: if you see g2c as a
dependency, it is using g77, if you see libgfortran, it is using gfortran.
cheers,
David
with ifort + MSVC on
windows 64 (more exactly it worked in december 2009),
cheers,
David
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this with
the C math library for math functions (cos, log, etc...)
Especially for indexing and broadcasting, even if your project
fails, having a pure, reference python implementation would be
tremendously useful - in particular for the use in sparse arrays as
mentioned by Stefan.
cheers,
David
for 0.0.3 is hook support - the goal is to have an API robust enough
so that future toydist code will be based on hooks, as well a basic support for
waf or scons-based C builds.
cheers,
David
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http
if it fails linking, that's the whole point of the
function.
cheers,
David
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x 1 output
I need to do this so I can iteratively build a matrix by adding new
columns. The problem is that sparse matrix constructors don't seem
expect 0 as input for a dimension.
Thank you,
/David
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build_ext command class that suits my purposes. We'll see how
far that gets me.
That's another solution.
cheers,
David
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the above, any ideas on how to
go about doing what I'm trying to do better?
Not really, that's how you are supposed to do things with distutils,
David
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the problem. So I would prefer to see what happens with the same numpy
version built against the Red Hat python (2.6.1) before looking into
numpy proper. Given how simple your example is, it is quite unlikely
that there is a ref count bug that nobody encountered before,
David
useful (a
backtrace from gdb much more),
cheers,
David
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into numpy or python bug.
Is it the problem with libc library?
Very unlikely, this looks like a ref count bug,
cheers,
David
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-specific interface to it? What other re-organization thoughts
are you having David?
This is mainly it, reorganizing the code for clearer boundaries
between boilerplate (python C API) and actual compuational code.
Besides helping other python implementations, I think this would
benefit NumPy itself
On Mon, Apr 5, 2010 at 8:40 AM, Charles R Harris
charlesr.har...@gmail.comwrote:
Hi All,
David Cournapeau has mentioned that he would like to have a numpy math
library that would supply missing functions and I'm wondering how we should
organise the source code. Should we put a mathlib
David
On Sat, Apr 3, 2010 at 8:13 PM, David Reichert d.p.reich...@sms.ed.ac.ukwrote:
Hi,
After some work I got an optimized numpy compiled on a machine where I
don't
have root access, but I had to use numpy 1.4.0 to make it work. Now I have
the problem that I cannot seem to unpickle data I
,
David Cournapeau has mentioned that he would like to have a numpy
math
library that would supply missing functions and I'm wondering how
we
should
organise the source code. Should we put a mathlib directory in
numpy/core/src?
David already did this: numpy/core/src
to think about reorganizing the
rest of numpy.core C code, the npymath library is very low hanging
fruit in comparison, if only by size.
David
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understand defmatrix was moved from core to matrixlib? Is there some
workaround
I could use? I might have to move my data in between machines with either
versions of
numpy installed in the future as well... I already tried some renaming
tricks but to
no avail.
Thanks
David
The University of Edinburgh
On Thu, Apr 1, 2010 at 6:42 PM, David Goldsmith d.l.goldsm...@gmail.comwrote:
np.version.version
'1.4.0'
c = np.polynomial.chebyshev.Chebyshev(1)
c.deriv(1.0)
Chebyshev([ 0.], [-1., 1.])
c.integ(1.0)
Traceback (most recent call last):
File stdin, line 1, in module
File string
On Fri, Apr 2, 2010 at 10:42 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Thu, Apr 1, 2010 at 7:42 PM, David Goldsmith
d.l.goldsm...@gmail.comwrote:
np.version.version
'1.4.0'
c = np.polynomial.chebyshev.Chebyshev(1)
c.deriv(1.0)
Chebyshev([ 0.], [-1., 1.])
c.integ
On Fri, Apr 2, 2010 at 10:46 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Fri, Apr 2, 2010 at 11:27 AM, David Goldsmith
d.l.goldsm...@gmail.comwrote:
Also:
c.deriv(0)
Chebyshev([ 1.], [-1., 1.])
c.integ(0)
Traceback (most recent call last):
File stdin, line 1
.dev8106.
np.logaddexp2(-0.5849625007211563, -53.584962500721154)
nan
np.logaddexp2(-1.5849625007211563, -53.584962500721154)
-1.5849625007211561
np.version.version
'1.4.0'
WindowsXP 32
What compiler? Mingw?
yes, mingw 3.4.5. , official binaries release 1.4.0 by David
sse2 Pentium M
that. I note that on glibc, the function called is an
intrinsic for log1p (FYL2XP1) if x is sufficiently small.
Clearly the optimizing compiler is inserting the DRDB (drain David's
battery) opcode.
:)
David
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Anne Archibald wrote:
On 1 April 2010 03:15, David Cournapeau da...@silveregg.co.jp wrote:
Anne Archibald wrote:
Particularly given the comments in the boost source code, I'm leery of
this fix; who knows what an optimizing compiler will do with it?
But the current code *is* wrong
np.version.version
'1.4.0'
c = np.polynomial.chebyshev.Chebyshev(1)
c.deriv(1.0)
Chebyshev([ 0.], [-1., 1.])
c.integ(1.0)
Traceback (most recent call last):
File stdin, line 1, in module
File string, line 441, in integ
File C:\Python26\lib\site-packages\numpy\polynomial\chebyshev.py,
,
David
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it:
http://mail.scipy.org/pipermail/numpy-discussion/2010-January/048067.html
David
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.
Having the config.h as well as the compilation options would be most
useful, to determine which functions are coming from the system, and
which one are the numpy ones,
cheers,
David
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http
the environment variable
G77='gfortran -fdefault-real-8'. Simply putting it in f2py_options='--
f77flags=\'-fdefault-real-8\' --f90flags=\'-fdefault-real-8\'' doesn't
seem to do the trick. I don't really understand why.
David
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On 30-Mar-10, at 2:14 PM, David Warde-Farley wrote:
Hey Dag,
On 30-Mar-10, at 5:02 AM, Dag Sverre Seljebotn wrote:
Well, you can pass -fdefault-real-8 and then write .pyf headers where
real(8) is always given explicitly.
Actually I've gotten it to work this way, with real(8
think this is widely considered a bad idea).
The right way might involve instantiating a GnuF95Compiler object and
messing with its fields or something like that. Anyway, this works for
now.
Thanks,
David
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, or will it still significantly change (this requiring a
different, more stable one) ?
cheers,
David
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still getting stuff returned in 'real' variables as
dtype=float32. Am I doing something wrong?
Thanks,
David
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Pauli Virtanen wrote:
ma, 2010-03-29 kello 19:13 +0900, David Cournapeau kirjoitti:
I have worked on porting scipy to py3k, and it is mostly working. One
thing which would be useful is to install something similar to
npy_3kcompat.h in numpy, so that every scipy extension could share
On 26-Mar-10, at 8:08 AM, Kevin Jacobs wrote:
On Thu, Mar 25, 2010 at 6:25 PM, David Warde-Farley d...@cs.toronto.edu
wrote:
I decided to give wrapping this code a try:
http://morrislab.med.utoronto.ca/~dwf/GLMnet.f90
I have a working f2py wrapper located at:
http
On 26-Mar-10, at 4:25 PM, David Warde-Farley wrote:
That said, I gave that wrapper a whirl and it crashed on me...
I noticed you added an 'njd' argument to the wrapper for elnet, did
you modify the elnet Fortran function at all? Is it fine to have
arguments in the wrapped version that don't
Is telecommuting an option?
DG
On Wed, Mar 24, 2010 at 4:44 PM, Amenity Applewhite
amen...@enthought.com wrote:
Enthought is hiring a Software Developer.
See the description below, or on our
website: http://www.enthought.com/company/sd-scientific-app.php
Best,
Amenity
--
Amenity
On Thu, Mar 25, 2010 at 1:21 AM, David Goldsmith
d.l.goldsm...@gmail.com wrote:
Is telecommuting an option?
DG
Sorry, I didn't mean to send that to the list. :-(
DG
On Wed, Mar 24, 2010 at 4:44 PM, Amenity Applewhite
amen...@enthought.com wrote:
Enthought is hiring a Software Developer
are unsolvable on
win64 because of python, and that we have to use the MS compiler (for C
and C++).
cheers,
David
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,
David
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don't think I will have much time to
spend on making scipy and gfortran work together on win64 in the near
future,
cheers,
David
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.
Of course, atlas on windows 64 is nowhere near buildable.
cheers,
David
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is the new syntax for relative import).
David
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Francesc Alted wrote:
A Wednesday 24 March 2010 15:38:58 David Cournapeau escrigué:
Oh, it is not that easy :)
First, for some reason, the mingw-w64 project does not provide 64
hosted compilers, and since pushing for mingw cross compilation
support in distutils would redefine the meaning
On 23-Mar-10, at 5:04 PM, Reckoner wrote:
I don't know
what the | this notation means. I can't find it in the
documentation.
This should be easy. Little help?
A or in this position means big or little endianness. Strings
don't have endianness, hence |.
David
) and rendered modes (pdf, html). That's the
whole point of using something like rest in the first place.
cheers,
David
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On Sat, Mar 20, 2010 at 11:00 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Example,
Compute the qr factorization of a matrix.
Factor the matrix `a` as `qr`, where `q` is orthonormal
(:math:`dot( q_{:,i}, q_{:,j}) = \delta_{ij}`, the Kronecker delta)
and
`r` is
On Sat, Mar 20, 2010 at 12:41 PM, David Goldsmith
d.l.goldsm...@gmail.com wrote:
On Sat, Mar 20, 2010 at 11:00 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Example,
Compute the qr factorization of a matrix.
Factor the matrix `a` as `qr`, where `q` is orthonormal
(:math
to transparently
switch to running stuff on the GPU, I thought it was so ambitious that
it would never happen. Then it did...
David
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On Tue, Mar 16, 2010 at 9:45 AM, Sam Tygier
sam.tyg...@hep.manchester.ac.uk wrote:
On Tue, Mar 16, 2010 at 12:23 PM, josef.pktd at gmail.com wrote:
You can file a ticket, but if this is a function that is already in
real use, then it would be an unpleasant break in the API
done
I understand that ma.MaskedArray is a subclass of ndarray; in addition to the
requirements
for subclassing the latter, what does ma.MaskedArray add to the list? I.e.
what do I have to
watch out for?
Basically I need a version of Luke Campagnola's MetaArray (
,
David
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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Thanks for the reply.
Yes never mind the second issue, I had myself confused there.
Any comments on the memory leak?
On Tue, Mar 9, 2010 at 5:55 PM, josef.p...@gmail.com wrote:
On Tue, Mar 9, 2010 at 12:31 PM, David Paul Reichert
d.p.reich...@sms.ed.ac.uk wrote:
Hi,
I've got two issues
Hm, upgrading scipy from 0.7.0 to 0.7.1 didn't do the trick for me (still
running numpy 1.3.0).
I'm not sure if I feel confident enough to use developer versions, but I'll
look into it.
Cheers
David
On Tue, Mar 9, 2010 at 7:57 PM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Mar 9, 2010
with these things. Maybe other people can confirm the problem
one way or another.
Thanks,
David
On Tue, Mar 9, 2010 at 9:32 PM, josef.p...@gmail.com wrote:
On Tue, Mar 9, 2010 at 4:24 PM, David Reichert
d.p.reich...@sms.ed.ac.uk wrote:
Hm, upgrading scipy from 0.7.0 to 0.7.1 didn't do the trick for me
. linalg/lib/clusters are the first ones to port. I don't
think special depends on much more than linalg/lib, but I could be wrong.
David
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On Mon, Mar 8, 2010 at 6:52 AM, Bruce Southey bsout...@gmail.com wrote:
On 03/08/2010 01:30 AM, David Goldsmith wrote:
On Sun, Mar 7, 2010 at 4:41 AM, Friedrich Romstedt
friedrichromst...@gmail.com wrote:
I would like to stress the fact that imo this is maybe not ticket and not
a bug
On Mon, Mar 8, 2010 at 10:17 AM, David Goldsmith d.l.goldsm...@gmail.comwrote:
On Mon, Mar 8, 2010 at 6:52 AM, Bruce Southey bsout...@gmail.com wrote:
On 03/08/2010 01:30 AM, David Goldsmith wrote:
On Sun, Mar 7, 2010 at 4:41 AM, Friedrich Romstedt
friedrichromst...@gmail.com wrote:
I
)
part2plot.shape = (50, 0)
Traceback (most recent call last):
File D:\Home\Friedrich\Entwicklung\2010\David\aquarius.py, line 91, in
?
ax.imshow(part2plot, extent = extent)
File
D:\Programme\Programmierung\python-2.4.1\lib\site-packages\matplotlib\ax
es.py, line 5471, in imshow
im.autoscale_None
On Sun, Mar 7, 2010 at 4:30 AM, Friedrich Romstedt
friedrichromst...@gmail.com wrote:
First, to David's routine:
2010/3/7 David Goldsmith d.l.goldsm...@gmail.com:
def convert_close(arg):
arg = N.array(arg)
if not arg.shape:
arg = N.array((arg,))
if arg.size
On Sun, Mar 7, 2010 at 4:41 AM, Friedrich Romstedt
friedrichromst...@gmail.com wrote:
2010/3/5 Pierre GM pgmdevl...@gmail.com:
'm'fraid no. I gonna have to investigate that. Please open a ticket with
a self-contained example that reproduces the issue.
Thx in advance...
P.
I would like
x = numpy.array(3)
x
array(3)
x.shape
()
My question is: why?
DG
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On Sat, Mar 6, 2010 at 9:37 PM, Ian Mallett geometr...@gmail.com wrote:
x = numpy.array(3)
x
array(3)
x.shape
()
y = numpy.array([3])
y
array([3])
y.shape
(1,)
Ian
Thanks, Ian. I already figured out how to make it not so, but I still want
to understand the design reasoning
On Sat, Mar 6, 2010 at 10:26 PM, Ian Mallett geometr...@gmail.com wrote:
On Sat, Mar 6, 2010 at 9:46 PM, David Goldsmith
d.l.goldsm...@gmail.comwrote:
Thanks, Ian. I already figured out how to make it not so, but I still
want to understand the design reasoning behind it being so
Hi! Sorry for the cross-post, but my own investigation has led me to
suspect that mine is actually a numpy problem, not a matplotlib problem.
I'm getting the following traceback from a call to matplotlib.imshow:
Traceback (most recent call last):
File
On Fri, Mar 5, 2010 at 2:51 AM, Pierre GM pgmdevl...@gmail.com wrote:
On Mar 5, 2010, at 4:38 AM, David Goldsmith wrote:
Hi! Sorry for the cross-post, but my own investigation has led me to
suspect that mine is actually a numpy problem, not a matplotlib problem.
I'm getting the following
On Fri, Mar 5, 2010 at 9:22 AM, David Goldsmith d.l.goldsm...@gmail.comwrote:
On Fri, Mar 5, 2010 at 2:51 AM, Pierre GM pgmdevl...@gmail.com wrote:
On Mar 5, 2010, at 4:38 AM, David Goldsmith wrote:
Hi! Sorry for the cross-post, but my own investigation has led me to
suspect that mine
On Fri, Mar 5, 2010 at 9:43 AM, David Goldsmith d.l.goldsm...@gmail.comwrote:
On Fri, Mar 5, 2010 at 9:22 AM, David Goldsmith
d.l.goldsm...@gmail.comwrote:
On Fri, Mar 5, 2010 at 2:51 AM, Pierre GM pgmdevl...@gmail.com wrote:
On Mar 5, 2010, at 4:38 AM, David Goldsmith wrote:
Hi! Sorry
on windows 7
Ultimate (32 bits), and did not encounter any issue, the testsuite
passing everything but a few things unrelated to our problem here.
Could you put your binary somewhere so that I can look at it ?
David
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two weeks about
the build process.
You're welcome. I hope to be able to look a bit into that issue this WE,
cheers,
David
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Francesc Alted wrote:
A Wednesday 03 March 2010 02:58:31 David Cournapeau escrigué:
PyObject *ret;
PyArray_Descr *typecode;
typecode = PyArray_DescrFromType(PyArray_UINT8);
ret = PyArray_Scalar(NULL, typecode, NULL);
Py_DECREF(typecode);
Sorry, this is wrong, this does not work on my
the necessary dependencies. However, the good
news is that pavement.py now recognizes where the Atlas binaries David
provided are located. The output from paver bdist_wininst is located
here http://patricktmarsh.com/numpy/20100302.paveout.txt.
That's a bug in the pavement script - on windows 7, some
Patrick Marsh wrote:
On Wed, Mar 3, 2010 at 8:48 AM, David Cournapeau courn...@gmail.com
mailto:courn...@gmail.com wrote:
That's a bug in the pavement script - on windows 7, some env variables
are necessary to run python correctly, which were not necessary for
windows 7. I
On 3-Mar-10, at 4:56 PM, Robert Kern wrote:
Other types have a sensible default determined by the platform.
Yes, and the 'S0' type isn't terribly sensible, if only because of
this issue:
http://projects.scipy.org/numpy/ticket/1239
David
scalars?
Basically, is there a C API for working with these numpy scalars?
This bit looks relevant:
http://projects.scipy.org/numpy/browser/trunk/numpy/core/src/multiarray/scalarapi.c?rev=7560#L565
David
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;
This should be documented better somewhere,
cheers,
David
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On Tue, Mar 2, 2010 at 6:29 PM, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
I'm reading a file which contains a grid definition. Each cell in the
grid, apart from having an i,j,k index also has 8 x,y,z coordinates.
I'm reading each set of coordinates into a numpy array. I
On Tue, Mar 2, 2010 at 6:59 PM, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
David Goldsmith wrote:
On Tue, Mar 2, 2010 at 6:29 PM, Brennan Williams
brennan.willi...@visualreservoir.com
mailto:brennan.willi...@visualreservoir.com wrote:
I'm reading a file which
Hi Patrick,
On Sun, Feb 28, 2010 at 1:35 PM, Patrick Marsh patrickmars...@gmail.com wrote:
Greetings,
I have been trying to build the numpy superpack on windows using the
binaries posted by David.
Could you post *exactly* the sequence of commands you executed ?
Especially at the beginning
Patrick Marsh wrote:
Hi David,
There really isn't much in the way of commands that I've used - I
haven't gotten that far. So far, I've downloaded your binaries and then
attempted to set up my numpy site.cfg file to use your binaries. I used
the following as my site.cfg
[atlas
PyArray_SimpleNew(nd, dims, NPY_INT8).
If you need to create from a function which only takes PyArray_Descr,
you can easily create a simple descriptor object from the enum using
PyArray_DescrFromType.
You can see examples in numpy/core/src/multiarray/ctors.c
cheers,
David
1.3.0 on GNU/Linux.
(previous reply mysteriously didn't make it to the list...)
Still happening to me in latest svn. Can you file a ticket?
http://projects.scipy.org/numpy/report
Thanks,
David
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determinant *and* the sign of the
determinant.
David
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