On 12 June 2011 21:08, Ralf Gommers ralf.gomm...@googlemail.com wrote:
On Sun, Jun 12, 2011 at 9:00 PM, Laurent Gautier lgaut...@gmail.com wrote:
I did not find the following problem reported.
When trying to install Numpy 1.6 with Python 2.7.1+ (r271:86832), gcc
4.5.2, and pip 1.0.1
Hi,
I am pleased to announce the availability of the first release candidate of
NumPy 1.6.1. This is a bugfix release, list of fixed bugs:
#1834 einsum fails for specific shapes
#1837 einsum throws nan or freezes python for specific array shapes
#1838 object - structured type arrays
2011/6/10 Olivier Delalleau sh...@keba.be
2011/6/10 Charles R Harris charlesr.har...@gmail.com
On Fri, Jun 10, 2011 at 3:43 PM, Benjamin Root ben.r...@ou.edu wrote:
On Fri, Jun 10, 2011 at 3:24 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Jun 10, 2011 at 2:17 PM,
Hi Ralf,
I am pleased to announce the availability of the first release candidate of
NumPy 1.6.1. This is a bugfix release, list of fixed bugs:
#1834 einsum fails for specific shapes
#1837 einsum throws nan or freezes python for specific array shapes
#1838 object - structured type
Hi Ralf,
FAIL: Test custom format function for each element in array.
--
This test is not in 1.6.x, only in master. I suspect the same is true for the
datetime tests, but perhaps not for the S5/U5 thing. Can you clean
Peter Butterworth wrote:
Consistent bin width is important for my applications. With floating
point numbers I usually shift my bins by a small offset to ensure
values at bin edges always fall in the correct bin.
With the current np.histogram behavior you _silently_ get a wrong
count in the
On 06/13/2011 10:11 AM, Derek Homeier wrote:
Hi Ralf,
FAIL: Test custom format function for each element in array.
--
This test is not in 1.6.x, only in master. I suspect the same is true for
the datetime tests, but
On Mon, Jun 13, 2011 at 6:08 PM, Bruce Southey bsout...@gmail.com wrote:
On 06/13/2011 10:11 AM, Derek Homeier wrote:
I used wget using the direct link and it eventually got the complete
file after multiple tries.
Yes, SF is having a pretty bad day.
Anyhow, the tests passed for me on
I'm joining this late (I've been traveling), but it might be useful to
look at the fairly new R module lubridate. They have put quite some
thought into simplifying date handling, and when I have used it I have
generally been quite pleased. The documentation is quite readable.
Just Google it and
Brandt Belson wrote:
Unfortunately I can't flatten the arrays. I'm writing a library where
the user supplies an inner product function for two generic objects, and
almost always the inner product function does large array
multiplications at some point. The library doesn't get to know about
Looking at the code the arrays that you are multiplying seem fairly
small (300, 200) and you have 50 of them. So it might the case that
there is not enough computational work to compensate for the cost of
forking new processes and communicating the results. Have you tried
larger arrays and more of
In article banlktikodians0ujrdkpudffo8agpnx...@mail.gmail.com,
Ralf Gommers ralf.gomm...@googlemail.com wrote:
On Thu, Jun 9, 2011 at 11:46 PM, Russell E. Owen ro...@uw.edu wrote:
What would it take to automatically detect which flavor of fortran to
use to build numpy on linux?
You
On Jun 13, 1:08 pm, Scott Sinclair scott.sinclair...@gmail.com
wrote:
On 12 June 2011 21:08, Ralf Gommers ralf.gomm...@googlemail.com wrote:
On Sun, Jun 12, 2011 at 9:00 PM, Laurent Gautier lgaut...@gmail.com wrote:
I did not find the following problem reported.
When trying
Hi all,
I'm reproducing a algorithm from a paper. This paper takes as input a
binary volumetric matrix. In a step from this paper, from this binary
volumetric matrix a adjacent matrix is calculated, thisadjacent matrix
is calculated as bellow:
Find all of the grid points in that lie adjacent to
Hi,
You can probably find some inspiration from
https://github.com/scikit-learn/scikit-learn/blob/master/scikits/learn/feature_extraction/image.py
Gaël
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On 06/13/2011 11:19 AM, Ralf Gommers wrote:
On Mon, Jun 13, 2011 at 6:08 PM, Bruce Southey bsout...@gmail.com
mailto:bsout...@gmail.com wrote:
On 06/13/2011 10:11 AM, Derek Homeier wrote:
I used wget using the direct link and it eventually got the complete
file after multiple
On 13.06.2011, at 6:19PM, Ralf Gommers wrote:
I used wget using the direct link and it eventually got the complete
file after multiple tries.
Yes, SF is having a pretty bad day.
I eventually also got the tarball through the fink/debian mirror list; no
failures on OS X 10.5 i386. There
On Mon, 13 Jun 2011 11:08:18 -0500, Bruce Southey wrote:
[clip]
OSError:
/usr/local/lib/python3.2/site-packages/numpy/core/multiarray.pyd: cannot
open shared object file: No such file or directory
I think that's a result of Python 3.2 changing the extension module
file naming scheme (IIRC to a
Hi all,
Thanks for your replies.
Brandt Belson wrote:
Unfortunately I can't flatten the arrays. I'm writing a library where
the user supplies an inner product function for two generic objects, and
almost always the inner product function does large array
multiplications at some point.
On Mon, Jun 13, 2011 at 8:31 PM, Pauli Virtanen p...@iki.fi wrote:
On Mon, 13 Jun 2011 11:08:18 -0500, Bruce Southey wrote:
[clip]
OSError:
/usr/local/lib/python3.2/site-packages/numpy/core/multiarray.pyd: cannot
open shared object file: No such file or directory
I think that's a result of
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