On Mon, May 2, 2011 at 10:55 PM, Mark Wiebe mwwi...@gmail.com wrote:
I applied everything, since they're all obviously bugs and the fixes look
straightforward.
I tested those commits on a few python/OS combinations, all looks
good. So I'll try to tag an RC2 tonight.
Ralf
Hi,
On Sat, Apr 30, 2011 at 5:21 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Wed, Apr 27, 2011 at 8:52 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
This is just to follow up on a dead thread of mine a little while back.
I was asking about letters for Clint Whaley's
In article BANLkTinvVxwmo7t7itxxwZRtp4UY=1e...@mail.gmail.com,
Ralf Gommers ralf.gomm...@googlemail.com wrote:
Hi,
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
...
Sources and binaries can be found at
On 5/3/2011 11:18 AM, Ralf Gommers wrote:
Hi,
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
Compared to the first release candidate, one segfault on (32-bit
Windows + MSVC) and several memory leaks were fixed. If no new
problems are reported,
On Tue, May 3, 2011 at 10:35 PM, Christoph Gohlke cgoh...@uci.edu wrote:
On 5/3/2011 11:18 AM, Ralf Gommers wrote:
Hi,
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
Compared to the first release candidate, one segfault on (32-bit
Windows +
I'm seeing these three failures on Solaris 5.10 (x86_64, using Python 2.7.1):
==
FAIL: Test basic arithmetic function errors
--
Traceback (most recent call
On Tue, May 3, 2011 at 5:06 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Tue, May 3, 2011 at 10:35 PM, Christoph Gohlke cgoh...@uci.edu wrote:
On 5/3/2011 11:18 AM, Ralf Gommers wrote:
Hi,
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
Hi Ralf,
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
Compared to the first release candidate, one segfault on (32-bit
Windows + MSVC) and several memory leaks were fixed. If no new
problems are reported, the final release will be in one week.
On Tue, May 3, 2011 at 11:18 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
I get one failure when I run from ipython but not python. In ipython I
import a few packages at startup. One of those
Hello,
I'm trying to create a vector (or a matrix, could be either) with
3200975422129 elements but I'm not being successful, get the following
error:
zeros(width * height, dtype=float32)
Killed
or
zeros((1789127,1789127), dtype=float32)
Killed
I'm assuming that I'm running out of memory.
On Tue, May 3, 2011 at 18:45, Keith Goodman kwgood...@gmail.com wrote:
On Tue, May 3, 2011 at 11:18 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
I get one failure when I run from ipython but not
I have a basic question about applying functions to array elements. There is a
rambling introduction here and then I get to the ACTUAL QUESTION about 2/3 of
the way down.
RAMBLING INTRODUCTION
I was trying to do a simple mapping of array values to other values. So I had:
On Tue, May 3, 2011 at 12:07, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Sat, Apr 30, 2011 at 5:21 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Wed, Apr 27, 2011 at 8:52 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
This is just to follow up on a dead thread of
On Tue, May 3, 2011 at 6:58 PM, Michael Katz michaeladamk...@yahoo.comwrote:
I have a basic question about applying functions to array elements. There
is a rambling introduction here and then I get to the ACTUAL QUESTION about
2/3 of the way down.
RAMBLING INTRODUCTION
I was trying to do a
On Tue, May 3, 2011 at 18:58, Michael Katz michaeladamk...@yahoo.com wrote:
I have a basic question about applying functions to array elements. There is
a rambling introduction here and then I get to the ACTUAL QUESTION about 2/3
of the way down.
RAMBLING INTRODUCTION
I was trying to do a
On Tue, May 3, 2011 at 19:03, Benjamin Root ben.r...@ou.edu wrote:
I can't comment much on the questions you raise, but I can certainly suggest
that np.where() function might be a much better choice than some of the
if-statements.
But it won't be any better than the two fancy-indexing
On Tue, May 3, 2011 at 18:58, Michael Katz michaeladamk...@yahoo.com wrote:
So I was trying to find a pure numpy solution for this. I then learned
about fancy indexing and boolean indexing, and saw that I could do boolean
array version:
mapped_colors = np.zeros(unmapped_colors.shape,
On Tue, May 3, 2011 at 4:58 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
Hi Ralf,
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
Compared to the first release candidate, one segfault on (32-bit
Windows + MSVC) and several
Robert, thanks for these quick replies.
So, it sounds like the main thing is for me to get better at thinking
declaratively in terms of these array operations, instead of the imperative
way I normally think about processing arrays in C++.
I did look at Numexpr, and that's in the direction I
On Tue, May 3, 2011 at 11:18 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
nanmin and nanmax are much faster in Numpy 1.6. Plus they now return
an object that has dtype, etc attributes when the
On 5/3/2011 7:52 PM, Gaston Fiore wrote:
I'm trying to create a vector (or a matrix, could be either) with
3200975422129 elements but I'm not being successful
In words, that's about 3.2 trillion float32's, so about 24 trillion
bytes, 2^41. So, yes, you are running out of memory, by a factor of
On 5/3/2011 9:34 PM, Dan Halbert wrote:
On 5/3/2011 7:52 PM, Gaston Fiore wrote:
I'm trying to create a vector (or a matrix, could be either) with
3200975422129 elements but I'm not being successful
In words, that's about 3.2 trillion float32's, so about 24 trillion
bytes, 2^41. So, yes, you
On Tue, May 3, 2011 at 19:34, Michael Katz michaeladamk...@yahoo.com wrote:
Robert, thanks for these quick replies.
So, it sounds like the main thing is for me to get better at thinking
declaratively in terms of these array operations, instead of the
imperative way I normally think about
On Mac OS X 10.6.7 with macports python 2.7 I get as follows:
OK (KNOWNFAIL=3, SKIP=1)
Python version:
Python 2.7.1 (r271:86832, Jan 12 2011, 10:44:27)
[GCC 4.2.1 (Apple Inc. build 5664)] on darwin
% gfortran --version
GNU Fortran (GCC) 4.5.3
Well done to everyone working on numpy 1.6!
Paul.
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