On Mon, Jul 11, 2011 at 16:12, Christoph Gohlke wrote:
>
> I tested rc3. It looks good, except that on win-amd64 whenever numpy is
> imported, a 'Forcing DISTUTILS_USE_SDK=1' is printed from line 377 in
> misc_util.py. Hence some tests of other packages fail.
>
> This is due to a recent change:
>
On 7/11/2011 12:28 PM, Ralf Gommers wrote:
> Hi,
>
> I am pleased to announce the availability of the third 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
Hi, I am trying to find the eigenvalues and eigenvectors as well as
the inverse for a large number of small matrices. The matrix size
(MxM) will typically range from 2x2 to 8x8 at most. The number of
matrices (N) can be from 100 up to a million or more. My current
solution is to define "eig" and "i
Hi Christoph,
On Mon, Jul 11, 2011 at 3:57 AM, Christoph Gohlke wrote:
> Hello,
>
> building numpy 1.6.1rc2 on Windows, i7-2600K CPU, with msvc9 failed with
> the following error:
>
> File "numpy/core/setup_common.py", line 271, in long_double_representation
>raise ValueError("Could not lock
Hi,
I am pleased to announce the availability of the third 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 regres
Hi,
On Mon, Jul 11, 2011 at 3:16 PM, Bruce Southey wrote:
> On 07/11/2011 08:08 AM, Matthew Brett wrote:
>> Hi,
>>
>> On Mon, Jul 11, 2011 at 3:52 AM, Bruce Southey wrote:
>>> On Fri, Jul 8, 2011 at 4:35 PM, Matthew Brett
>>> wrote:
Hi,
On Fri, Jul 8, 2011 at 8:34 PM, Bruce Sout
On 07/11/2011 08:08 AM, Matthew Brett wrote:
> Hi,
>
> On Mon, Jul 11, 2011 at 3:52 AM, Bruce Southey wrote:
>> On Fri, Jul 8, 2011 at 4:35 PM, Matthew Brett
>> wrote:
>>> Hi,
>>>
>>> On Fri, Jul 8, 2011 at 8:34 PM, Bruce Southey wrote:
On Fri, Jul 8, 2011 at 12:55 PM, Matthew Brett
Hi,
On Mon, Jul 11, 2011 at 3:52 AM, Bruce Southey wrote:
> On Fri, Jul 8, 2011 at 4:35 PM, Matthew Brett wrote:
>> Hi,
>>
>> On Fri, Jul 8, 2011 at 8:34 PM, Bruce Southey wrote:
>>> On Fri, Jul 8, 2011 at 12:55 PM, Matthew Brett
>>> wrote:
Hi,
On Fri, Jul 8, 2011 at 6:38 PM, B
Hi,
I have a problem with the ufunc return type of a numpy.ndarray derived class.
In fact, I subclass a numpy.ndarray using the tutorial :
http://docs.scipy.org/doc/numpy/user/basics.subclassing.html
But, for example, if I execute the "max" ufunc from my subclass, the return
type differs from
I found and fixed the problem. I had performed a distance computation of all
point to all points. My points included a query point and I needed to set
its distance to something large. So I did distances[query_point] = 1e308; ts
= distances / band_width; x = ts * ts and got the overflow, which makes
Short summary:
A funded post-doctoral position in data analysis, machine-learning,
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The position involves development and maintenance of tools in P
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