You're welcome.
I do not have many expectations; only those you can expect from an
open source project. ;-)
On Sat, Sep 15, 2012 at 10:33 PM, Travis Oliphant wrote:
> It's very nice to get your help.I hope I haven't inappropriately set
> expectations :-)
>
> -Travis
>
> On Sep 15, 2012, at
It's very nice to get your help.I hope I haven't inappropriately set
expectations :-)
-Travis
On Sep 15, 2012, at 3:14 PM, Han Genuit wrote:
> Yeah, that merge was fast. :-)
>
> Regards,
> Han
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Yeah, that merge was fast. :-)
Regards,
Han
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I was working on the same fix and so I saw your code was similar and merged it.
It needs to be back-ported to 1.7.0
Thanks,
-Travis
On Sep 15, 2012, at 11:06 AM, Han Genuit wrote:
> Okay, sent in a pull request: https://github.com/numpy/numpy/pull/443.
>
Okay, sent in a pull request: https://github.com/numpy/numpy/pull/443.
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but I think I personally prefer the reverse.
I would expect when I do
a[3:6]=1
the mask state would not change.
then I want to change the "base", I would use a.base[3:6]=1
then the mask state would change also.
By the way, I found b.data always be equal to b.base?
cheers,
Chao
On Tue, Sep 11,
Hi,
I just noticed that Python 3 raises an error for 0 dimensional numpy
arrays. Here's Python 2.6:
In [14]: a = np.array(1.1)
In [15]: round(a)
Out[15]: 1.0
and Python 3.2:
In [3]: a = np.array(1.1)
In [4]: round(a)
---
Hi,
On Fri, Sep 14, 2012 at 11:25 PM, Han Genuit wrote:
> I think there is something wrong with the implementation.. I would
> expect each incoming array in PyArray_ConcatenateFlattenedArrays to be
> flattened and the sizes of all of them added into a one-dimensional
> shape. Now the shape is two
Hi all,
I'm glad to inform you about new OpenOpt Suite release 0.42
(2012-Sept-15). Main changes:
* Some improvements for solver interalg, including handling of
categorical variables
* Some parameters for solver gsubg
* Speedup objective function for de and pswarm on FuncDesigner models
*
