In general, you will find more help on pypy-related questions in a
pypy-related communication channel like pypy-...@python.org or
visiting us on IRC at #pypy.
This is a known issue with the numpy-status page, since you are not
the first to notice I will try to fix it soon
Hi All,
I've invited Alex Griffing onto the team to be a numpy developer. He has
been contributing fixes and reviews for a while and it is time to give him
more opportunity to contribute. I think he will do well.
Chuck
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NumPy-Discussion mailing list
1) @Strula Sorry about my stupid mistake! That piece of code totally
gave away how green I am in coding C :)
And yes, that piece of code works like a charm now! I am able to run
my model. Thanks a million!
2) @Strula and also thanks for your insight on the limitation of the
method. Currently I am
On Thu, Jan 1, 2015 at 7:38 PM, Valentin Haenel wrote:
[...]
> So, I actually discovered an additional ugly workaround. Basically it
> turns out, that my dtype instance does have a 'kind' attribute, but it
> is a Python str object. Hence I needed to do:
>
> ord(dtype_.kind[0])
Your Cython dtype
A discussion [1] is currently underway at GitHub which will benefit from a
larger forum.
In version 1.9, the diagonal() method was changed to return a read-only
(non-contiguous) view into the original array instead of a plain copy.
Also, it has been announced [2] that in 1.10 the view will become
On 28/12/14 17:17, David Cournapeau wrote:
> This is not really supported. You should avoid mixing compilers when
> building C extensions using numpy C API. Either all mingw, or all MSVC.
That is not really good enough. Even if we build binary wheels with
MinGW (see link) the binary npymath libr
On 28/12/14 01:59, Matthew Brett wrote:
> As far as I can see, 'acosf' is defined in the msvc runtime library.
> I guess that '_acosf' is defined in some mingw runtime library?
AFAIK it is a GCC built-in function. When the GCC compiler or linker
sees it the binary code will be inlined.
https://
Hi,
I would like to use the numpy implementation for Pypy. In particular, I would
like to use numpy.fromiter, which is available according to this overview:
http://buildbot.pypy.org/numpy-status/latest.html. However, contrary to what
this website says, this function is not yet available. Conclu
On 01/01/15 19:56, Nathaniel Smith wrote:
> However, I suspect that this question can't really be answered in a
> useful way without more information about why exactly the C code wants
> a **double (instead of a *double) and what it expects to do with it.
> E.g., is it going to throw away the pas
Hi,
* Nathaniel Smith [2014-12-31]:
> On Tue, Dec 30, 2014 at 11:03 PM, Valentin Haenel wrote:
> > * Eric Moore [2014-12-30]:
> >> On Monday, December 29, 2014, Valentin Haenel wrote:
> >>
> >> > Hi,
> >> >
> >> > how do I access the kind of the data from cython, i.e. the single
> >> > charact
On 01/01/15 20:25, Yuxiang Wang wrote:
> #include
>
> __declspec(dllexport) void foobar(const int m, const int n, const
> double **x, double **y)
> {
> size_t i, j;
> y = (** double)malloc(sizeof(double *) * m);
> for(i=0; i y[i] = (*double)calloc(sizeof(double), n);
>
Great thanks to both Strula and also Nathaniel!
@Strula, thanks for your help! And I do think your solution makes
total sense. However, the code doesn't work well on my computer.
// dummy.c
#include
__declspec(dllexport) void foobar(const int m, const int n, const
double **x, d
On Thu, Jan 1, 2015 at 6:00 PM, Yuxiang Wang wrote:
> Dear all,
>
> I am currently using a piece of C code, where one of the input
> argument of a function is **double.
As you discovered, Numpy's ctypes utilities are helpful for getting a
*double out of an ndarray, but they don't really have anyt
On 01/01/15 19:00, Yuxiang Wang wrote:
> Could anyone please give any thoughts to help?
Say you want to call "void foobar(int m, int n, double **x)"
from dummy.so or dummpy.dll with ctypes. Here is a fully worked
out example (no tested, but is will work unless I made a typo):
import numpy as np
On 01/01/15 19:30, Sturla Molden wrote:
> You can pretend double** is an array of dtype np.intp. This is because
> on all modern systems, double** has the size of void*, and np.intp is an
> integer with the size of void* (np.intp maps to Py_intptr_t).
Well, it also requires that the user space is
You can pretend double** is an array of dtype np.intp. This is because
on all modern systems, double** has the size of void*, and np.intp is an
integer with the size of void* (np.intp maps to Py_intptr_t).
Now you just need to fill in the adresses. If you have a 2d ndarray in C
order, or at lea
Dear all,
I am currently using a piece of C code, where one of the input
argument of a function is **double.
So, in numpy, I tried np.ctypeslib.ndpointer(ctypes.c_double), but
obviously this wouldn't work because this is only *double, not
**double.
Then I tried np.ctypeslib.ndpointer(np.ctypesli
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