hi all,
I have tried the example from numpy/add_newdocs.py
np.ldexp(5., 2)
but instead of the 20 declared there it yields
TypeError: function not supported for these types, and can't coerce
safely to supported types
I have tried arrays but it yields same error
np.ldexp(np.array([5., 2.]),
hi all,
has anyone already tried to compare using an ordinary numpy ufunc vs
that one from corepy, first of all I mean the project
http://socghop.appspot.com/student_project/show/google/gsoc2009/python/t124024628235
It would be interesting to know what is speedup for (eg) vec ** 0.5 or
(if it's
dmitrey wrote:
hi all,
I have tried the example from numpy/add_newdocs.py
np.ldexp(5., 2)
but instead of the 20 declared there it yields
TypeError: function not supported for these types, and can't coerce
safely to supported types
Which OS/Compiler are you using ?
David
dmitrey wrote:
I have updated numpy to latest '1.4.0.dev7008', but the bug still
remains.
I use KUBUNTU 9.04, compilers - gcc (using build-essential), gfortran.
D.
Can you post the build output (after having removed the build directory
: rm -rf build python setup.py build build.log) ?
On May 21, 11:29 am, David Cournapeau da...@ar.media.kyoto-u.ac.jp
wrote:
dmitrey wrote:
I have updated numpy to latest '1.4.0.dev7008', but the bug still
remains.
I use KUBUNTU 9.04, compilers - gcc (using build-essential), gfortran.
D.
Can you post the build output (after having
Thu, 21 May 2009 01:45:54 -0700, dmitrey wrote:
I have updated numpy to latest '1.4.0.dev7008', but the bug still
remains.
I use KUBUNTU 9.04, compilers - gcc (using build-essential), gfortran.
Worksforme on Ubuntu 9.04, on python2.6 and python2.5. Should be the same
platform.
--
Pauli
Thu, 21 May 2009 09:26:18 +, Pauli Virtanen wrote:
Thu, 21 May 2009 01:45:54 -0700, dmitrey wrote:
I have updated numpy to latest '1.4.0.dev7008', but the bug still
remains.
I use KUBUNTU 9.04, compilers - gcc (using build-essential), gfortran.
Worksforme on Ubuntu 9.04, on python2.6
By default, it looks like a 1-dim ndarray gets converted to a row vector by
the matrix constructor. This seems to lead to some odd behavior such as
a[1] yielding the 2nd element as an ndarray and throwing an IndexError as a
matrix. Is it possible to set a flag to make the default be a column
Hi all,
I expected to have some speedup via using ldexp or multiplying an
array by a power of 2 (doesn't it have to perform a simple shift of
mantissa?), but I don't see the one.
Have I done something wrong? See the code below.
from scipy import rand
from numpy import dot, ones, zeros, array,
On Thu, May 21, 2009 at 10:26, dmitrey dmitrey.kros...@scipy.org wrote:
Hi all,
I expected to have some speedup via using ldexp or multiplying an
array by a power of 2 (doesn't it have to perform a simple shift of
mantissa?),
Addition of the exponent, not shift of the mantissa.
but I don't
Where can I find release notes? (It would be helpful if I can point to a
URL as part of the fedora release)
OK, I put my email announcement up here:
http://wiki.cython.org/ReleaseNotes-0.11.2
Tell me if you need something else (different format or level of detail --
the list of tickets on
I am getting a MemoryError from a numpy.fromfile() call in an
application I am trying to deploy. Normally I would assume that this
would mean that I don't have enough memory available on the system.
However, if I run vmstat (Linux) at the same time as my process, I see
that I have 3+
Thu, 21 May 2009 10:31:28 -0600, Michael Hearne wrote:
I am getting a MemoryError from a numpy.fromfile() call in an
application I am trying to deploy. Normally I would assume that this
would mean that I don't have enough memory available on the system.
However, if I run vmstat (Linux) at
On Thu, May 21, 2009 at 10:31 AM, Michael Hearne mhea...@usgs.gov wrote:
I am getting a MemoryError from a numpy.fromfile() call in an
application I am trying to deploy. Normally I would assume that this
would mean that I don't have enough memory available on the system.
However, if I run
It's an immutable page. Can someone who already has access make the edit?
On Wed, May 20, 2009 at 2:36 PM, Pauli Virtanen p...@iki.fi wrote:
Wed, 20 May 2009 12:08:46 -0700, Grant Kelly wrote:
I believe there is an error on this wiki page:
http://www.scipy.org/NumPy_for_Matlab_Users
All: Never mind! The file I was attempting to read was part of an
(apparently) silently incomplete download, and as such, the file size
didn't match the metadata in the header file describing the data file,
and I was reading beyond the end of the file.
I would submit that MemoryError is
Thu, 21 May 2009 12:14:18 -0600, Michael Hearne wrote:
All: Never mind! The file I was attempting to read was part of an
(apparently) silently incomplete download, and as such, the file size
didn't match the metadata in the header file describing the data file,
and I was reading beyond the
Thu, 21 May 2009 10:54:21 -0700, Grant Kelly wrote:
It's an immutable page. Can someone who already has access make the
edit?
Umm, are you sure? I don't see any ACL's on the page. (Though you need to
register an account on the wiki before editing.)
--
Pauli Virtanen
Dag Sverre Seljebotn wrote:
albert.thuswald...@gmail.com wrote:
Dear list,
I'm writing this because i have developed a small python module that
might be of interest to you the readers of this list:
http://code.google.com/p/pyhdf5io/
It basically implements load/save functions that mimic
Hi Albert,
So this is a wrapper on top of PyTables to implement load() and
save()? Neat.
Obviously if you're installing PyTables, you can do a lot better and
organize your data hierarchically without the messiness of Matlab
structures, walk the node tree, all kinds of fun stuff, but if
On Thu, May 21, 2009 at 22:38, David Warde-Farley d...@cs.toronto.edu wrote:
Hi Albert,
So this is a wrapper on top of PyTables to implement load() and
save()? Neat.
Yes, you got the idea. in its most simplest form you can type:
hdf5save()
And all your local variables are saved to a file
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