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 I'm
side. 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 wrote:
> Hi folks,
>
> The moderator for the
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 for
On Fri, Jul 31, 2015 at 5:19 PM, Nick Papior wrote:
> --
>
> Kind regards Nick Papior
> On 31 Jul 2015 17:53, "Chris Barker" wrote:
> >
> > On Thu, Jul 30, 2015 at 11:24 PM, Jason Newton wrote:
> >>
> >> This really needs changing though. sc
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
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 loop
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
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 allows
On Mon, Jul 11, 2016 at 3:27 PM, Pauli Virtanen 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? Funny
>> business h
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
exposure/co
with.
> Best,
> Ian Henriksen
>
>
> On Wed, Aug 31, 2016 at 12:20 PM Jason Newton 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 solut
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