On 27 June 2013 01:48, Frédéric Bastien wrote:
>
>
>
> On Wed, Jun 26, 2013 at 7:30 AM, mark florisson
> wrote:
>>
>> On 26 June 2013 09:05, Dag Sverre Seljebotn
>> wrote:
>> > On 06/25/2013 04:21 PM, Frédéric Bastien wrote:
>> >>
>>
optimization
>> > like using SSE instruction. I think it is great.
>> >
>> > Last year, Mark Florisson released the minivect[1] project that he
>> > worked on during is master thesis. minivect is a compiler for
>> > element-wise expression that do some
est/manpower to maintain support for
> vectorization in the long term (so it was better to not add the feature than
> have a badly supported feature).
>
> My understanding is that Numba is based on minivect and not on dynd, so it's
> more of a competitor.
>
> Perhaps Mark Flori
On 5 June 2012 22:36, Dag Sverre Seljebotn wrote:
> On 06/05/2012 10:47 PM, mark florisson wrote:
>> On 5 June 2012 20:17, Nathaniel Smith wrote:
>>> On Tue, Jun 5, 2012 at 7:08 PM, mark florisson
>>> wrote:
>>>> On 5 June 2012 17:38, Nathaniel Smith w
On 5 June 2012 22:29, Nathaniel Smith wrote:
> On Tue, Jun 5, 2012 at 9:47 PM, mark florisson
> wrote:
>> On 5 June 2012 20:17, Nathaniel Smith wrote:
>>> On Tue, Jun 5, 2012 at 7:08 PM, mark florisson
>>> wrote:
>>>> On 5 June 2012 17:38, Nathaniel Sm
On 5 June 2012 20:17, Nathaniel Smith wrote:
> On Tue, Jun 5, 2012 at 7:08 PM, mark florisson
> wrote:
>> On 5 June 2012 17:38, Nathaniel Smith wrote:
>>> On Tue, Jun 5, 2012 at 4:12 PM, mark florisson
>>> wrote:
>>>> On 5 June 2012 14:58, Nathaniel
On 5 June 2012 17:38, Nathaniel Smith wrote:
> On Tue, Jun 5, 2012 at 4:12 PM, mark florisson
> wrote:
>> On 5 June 2012 14:58, Nathaniel Smith wrote:
>>> On Tue, Jun 5, 2012 at 12:55 PM, mark florisson
>>> wrote:
>>>> It would be great if we impl
On 5 June 2012 18:21, Neal Becker wrote:
> Would lazy eval be able to eliminate temps in doing operations such as:
>
> np.sum (u != 23)?
>
> That is, now ops involving selecting elements of matrixes are often performed
> by
> first constructing temp matrixes, and the operating on them.
>
> __
On 5 June 2012 14:58, Nathaniel Smith wrote:
> On Tue, Jun 5, 2012 at 12:55 PM, mark florisson
> wrote:
>> It would be great if we implement the NEP listed above, but with a few
>> extensions. I think Numpy should handle the lazy evaluation part, and
>> determine wh
Hey,
Another discussion on lazy evaluation, given the recent activity here:
https://github.com/ContinuumIO/numba/pull/6#issuecomment-6117091
A somewhat recent previous thread can be found here:
http://mail.scipy.org/pipermail/numpy-discussion/2012-February/060862.html
, and a NEP here:
https://git
On 17 May 2012 23:53, Dag Sverre Seljebotn wrote:
> I'm repeating myself a bit, but my previous thread of this ended up
> being about something else, and also since then I've been on an
> expedition to the hostile waters of python-dev.
>
> I'm crazy enough to believe that I'm proposing a technical
On 14 May 2012 21:54, David Cournapeau wrote:
>
>
> On Mon, May 14, 2012 at 5:31 PM, mark florisson
> wrote:
>>
>> On 12 May 2012 22:55, Dag Sverre Seljebotn
>> wrote:
>> > On 05/11/2012 03:37 PM, mark florisson wrote:
>> >>
>> &
On 14 May 2012 21:36, Dag Sverre Seljebotn wrote:
> On 05/14/2012 06:31 PM, mark florisson wrote:
>>
>> On 12 May 2012 22:55, Dag Sverre Seljebotn
>> wrote:
>>>
>>> On 05/11/2012 03:37 PM, mark florisson wrote:
>>>>
>>>&
On 12 May 2012 22:55, Dag Sverre Seljebotn wrote:
> On 05/11/2012 03:37 PM, mark florisson wrote:
>>
>> On 11 May 2012 12:13, Dag Sverre Seljebotn
>> wrote:
>>>
>>> (NumPy devs: I know, I get too many ideas. But this time I *really*
>>> believe
&g
On 11 May 2012 12:13, Dag Sverre Seljebotn wrote:
> (NumPy devs: I know, I get too many ideas. But this time I *really* believe
> in it, I think this is going to be *huge*. And if Mark F. likes it it's not
> going to be without manpower; and as his mentor I'd pitch in too here and
> there.)
>
> (M
On 11 May 2012 12:13, Dag Sverre Seljebotn wrote:
> (NumPy devs: I know, I get too many ideas. But this time I *really* believe
> in it, I think this is going to be *huge*. And if Mark F. likes it it's not
> going to be without manpower; and as his mentor I'd pitch in too here and
> there.)
>
> (M
Could someone please ban this person from the mailing list, he keeps
sending spam.
On 6 April 2012 12:41, Jean-Baptiste Rudant wrote:
> http://alumnos.digicap.cl/images/rmngl.html
>
> ___
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> h
On 30 March 2012 21:40, mark florisson wrote:
> On 30 March 2012 21:38, mark florisson wrote:
>> On 30 March 2012 19:53, Chris Barker wrote:
>>> On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
>>> wrote:
>>>> Although the segfault was caused by a bug
On 30 March 2012 21:38, mark florisson wrote:
> On 30 March 2012 19:53, Chris Barker wrote:
>> On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
>> wrote:
>>> Although the segfault was caused by a bug in NumPy, you should
>>> probably also consider using Cython,
On 30 March 2012 19:53, Chris Barker wrote:
> On Fri, Mar 30, 2012 at 10:57 AM, mark florisson
> wrote:
>> Although the segfault was caused by a bug in NumPy, you should
>> probably also consider using Cython, which can make a lot of this pain
>> and boring stuff go a
On 29 March 2012 09:07, Christoph Gohle wrote:
> -BEGIN PGP SIGNED MESSAGE-
> Hash: SHA1
>
>
> Am 08.03.2012 um 20:39 schrieb Pauli Virtanen:
>
>> 08.03.2012 17:37, Christoph Gohle kirjoitti:
>>> thanks for testing. I have now tried on different platforms. I get
>>> all kinds of crashes on
nputs optimally. Otherwise one might as well
>> start from scratch. I'll leave that for Mark to figure out...
>>
>> Dag
>> --
>> Sent from my Android phone with K-9 Mail. Please excuse my brevity.
>>
>>
>> Olivier Delalleau wrote:
>>>
>>&g
On 21 March 2012 05:20, Dag Sverre Seljebotn wrote:
> On 03/20/2012 12:56 PM, Francesc Alted wrote:
>> On Mar 20, 2012, at 2:29 PM, Dag Sverre Seljebotn wrote:
>>> Francesc Alted wrote:
>>>
>>>> On Mar 20, 2012, at 12:49 PM, mark florisson wrote:
&g
On 13 March 2012 18:18, Travis Oliphant wrote:
>>>
>>> (Mark F., how does the above match how you feel about this?)
>>
>> I would like collaboration, but from a technical perspective I think
>> this would be much more involved than just dumping the AST to an IR
>> and generating some code from the
On 13 March 2012 09:19, Travis Oliphant wrote:
>
> On Mar 13, 2012, at 12:58 AM, Dag Sverre Seljebotn wrote:
>
> On 03/10/2012 10:35 PM, Travis Oliphant wrote:
>
> Hey all,
>
>
> I gave a lightning talk this morning on numba which is the start of a
>
> Python compiler to machine code through the L
On 12 February 2012 15:18, Dag Sverre Seljebotn
wrote:
> On 02/11/2012 10:27 PM, mark florisson wrote:
>> On 11 February 2012 20:31, Charles R Harris
>> wrote:
>>> Hi Dag,
>>>
>>> This probably needs to be on the cython mailing list at some point, but I
On 11 February 2012 21:45, Mark Wiebe wrote:
> On Sat, Feb 11, 2012 at 3:27 PM, mark florisson
> wrote:
>>
>> On 11 February 2012 20:31, Charles R Harris
>> wrote:
>> > Hi Dag,
>> >
>> > This probably needs to be on the cython mailing list a
On 11 February 2012 20:31, Charles R Harris wrote:
> Hi Dag,
>
> This probably needs to be on the cython mailing list at some point, but I
> thought I'd start the discussion here. Numpy is going to begin deprecating
> direct access to ndarray/dtype internals, ala arr->data etc. There are
> current
On 5 February 2012 07:19, Ralf Gommers wrote:
>
>
> On Sun, Feb 5, 2012 at 7:33 AM, Travis Oliphant wrote:
>>
>> I think supporting Python 2.5 and above is completely fine. I'd even be
>> in favor of bumping up to Python 2.6 for NumPy 1.7 and certainly for NumPy
>> 2.8
>>
> +1 for dropping Pytho
On 9 February 2012 15:29, Charles R Harris wrote:
> Hi All,
>
> Does anyone know how to make Cython emit a C macro? I would like to be able
> to
>
> #define NO_DEPRECATED_API
>
> and can do so by including a header file or futzing with the generator
> script, but I was wondering if there was an ea
What version of numpy are you using? IIRC the new buffer protocol has
been supported since numpy 1.5.
On 17 December 2011 08:42, Soeren Sonnenburg wrote:
> Doesn't work, complaining that the object has no __buffer__ attribute.
>
> Digging into the numpy c code it seems numpy doesn't even support
On 5 December 2011 17:57, mark florisson wrote:
> On 5 December 2011 17:48, Mark Wiebe wrote:
>> On Mon, Dec 5, 2011 at 9:37 AM, mark florisson
>> wrote:
>>>
>>> On 5 December 2011 17:25, Mark Wiebe wrote:
>>> > On Sun, De
On 5 December 2011 17:48, Mark Wiebe wrote:
> On Mon, Dec 5, 2011 at 9:37 AM, mark florisson
> wrote:
>>
>> On 5 December 2011 17:25, Mark Wiebe wrote:
>> > On Sun, Dec 4, 2011 at 11:37 PM, Geoffrey Irving wrote:
>> >>
>> >>
>> >
On 5 December 2011 17:25, Mark Wiebe wrote:
> On Sun, Dec 4, 2011 at 11:37 PM, Geoffrey Irving wrote:
>>
>>
>>
>>
>> Back to the bugs: here's a branch with all the changes I needed to get
>> rational arithmetic to work:
>>
>> https://github.com/girving/numpy
>>
>> I discovered two more after
2011/10/31 Stéfan van der Walt :
> On Mon, Oct 31, 2011 at 11:28 AM, Zachary Pincus
> wrote:
>>> As an example, it'd be nice to have scipy.ndimage available without the GIL:
>>> http://docs.scipy.org/doc/scipy/reference/ndimage.html
>>>
>>> Now, this *can* easily be done as the core is written in
On 31 October 2011 09:50, Pauli Virtanen wrote:
> 31.10.2011 09:44, mark florisson kirjoitti:
> [clip]
>> Ah, that's too bad. Is it anywhere near ready, or was it abandoned for
>> ironclad? Could you point me to the code?
>
> It's quite ready and working, and as
possible to go even given
> the refactored numpy core.
> --
> Sent from my Android phone with K-9 Mail. Please excuse my brevity.
>
> Pauli Virtanen wrote:
>>
>> 31.10.2011 09:44, mark florisson kirjoitti: [clip] > Ah, that's too bad.
>> Is it anywhere near ready
On 30 October 2011 21:01, Pauli Virtanen wrote:
> 30.10.2011 21:48, mark florisson kirjoitti:
>> First, I'd like to report a bug. It seems ndarray does not implement
>> tp_traverse or tp_clear, so if you have a reference cycle in an
>> ndarray with dtype object none of
Hello,
First, I'd like to report a bug. It seems ndarray does not implement
tp_traverse or tp_clear, so if you have a reference cycle in an
ndarray with dtype object none of those objects will ever be
collected.
Secondly, please bear with me, I'm not a NumPy expert, but would it be
possible to ha
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