riksen
>
>
> On Wed, Aug 31, 2016 at 12:20 PM Jason Newton <nev...@gmail.com> wrote:
>
>> I just wanted to follow up on the C++ side of OP email - Cython has quite
>> a few difficulties working with C++ code at the moment. It's really more
>> of a C solutio
I just wanted to follow up on the C++ side of OP email - Cython has quite a
few difficulties working with C++ code at the moment. It's really more of
a C solution most of the time and you must split things up into a mostly C
call interface (that is the C code Cython can call) and limit
On Mon, Jul 11, 2016 at 3:27 PM, Pauli Virtanen <p...@iki.fi> wrote:
> Mon, 11 Jul 2016 13:01:49 -0400, Jason Newton kirjoitti:
>> Does the ML have any ideas on how one could get a matmul that will not
>> allow any funny business on the evaluation of the products? F
Hello
I'm a long time user of numpy - but an issue I've had with it is
making sure I can reproduce the results of a floating point matrix
multiplication in other languages/modules (like c or GPU) in another,
or across installations. I take great pains in doing this type of
work because it
Hi folks,
I noticed an unexpected behavior of itemsize for structures with offsets
that are larger than that of a packed structure in memory. This matters
when parsing in memory structures from C and some others (recently and
HDF5/h5py detail got me for a bit).
So what is the correct way to get
In my experience, it's also come up with finite-state-machines where
there's lots of loops. You might consider something like a long-lived
client-loop on some socket, where states like try-connect, connected, and
while-connected-and-everythings-ok exist and each can have it's own never
ending
Just chiming in with my 2 cents, in direct response to your points...
- Image oriented processing is most typically done with row-major
storage layout. From hardware to general software implementations.
- Well really think of it as [slice,] row, column (logical)... you don't
actually
On Fri, Jul 31, 2015 at 5:19 PM, Nick Papior nickpap...@gmail.com wrote:
--
Kind regards Nick Papior
On 31 Jul 2015 17:53, Chris Barker chris.bar...@noaa.gov wrote:
On Thu, Jul 30, 2015 at 11:24 PM, Jason Newton nev...@gmail.com wrote:
This really needs changing though. scientific
Been using numpy in it's various forms since like 2005. burned on int,
int_ just today with boost.python / ndarray conversions and a number of
times before that. intc being C's int!? Didn't even know it existed till
today. This isn't the first time, esp with float. Bool is actually
expected
. I plan on building a
helper class to generate the dictionaries for this subroutine since
something akin to the list dtype specification is more user-friendly
(even towards me).
-Jason
On Thu, Jul 23, 2015 at 7:55 PM, Jason Newton nev...@gmail.com wrote:
Hi folks,
The moderator for the ML
Hi folks,
The moderator for the ML approved my subscription so I can now post
this back in the numpy list rather than scipy. Apologies for the
duplicate/cross posting.
I was trying to figure out how to make a dtype for a c-struct on the
c-side and storing that in some boost python libraries
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