[Numpy-discussion] State-of-the-art to use a C/C++ library from Python

[Thiago Franco Moraes]

I think you can  use ffi.from_buffer and ffi.cast from cffi.


On Fri, Sep 2, 2016 at 8:53 AM Carl Kleffner <cmkleffner at gmail.com> wrote:

> fork / extension of cffiwrap:
>
>
> *"cfficloak - A simple but flexible module for creating object-oriented,
> pythonic CFFI wrappers.This is an extension of
> https://bitbucket.org/memotype/cffiwrap
> <https://bitbucket.org/memotype/cffiwrap>"*
>
> 2016-09-02 13:46 GMT+02:00 Sebastian Haase <seb.haase at gmail.com>:
>
>> How do these two relate to each other !?
>> - Sebastian
>>
>>
>> On Fri, Sep 2, 2016 at 12:33 PM, Carl Kleffner <cmkleffner at gmail.com>
>> wrote:
>>
>>> maybe https://bitbucket.org/memotype/cffiwrap or
>>> https://github.com/andrewleech/cfficloak helps?
>>>
>>> C.
>>>
>>>
>>> 2016-09-02 11:16 GMT+02:00 Nathaniel Smith <njs at pobox.com>:
>>>
>>>> On Fri, Sep 2, 2016 at 1:16 AM, Peter Creasey
>>>> <p.e.creasey.00 at googlemail.com> wrote:
>>>> >> Date: Wed, 31 Aug 2016 13:28:21 +0200
>>>> >> From: Michael Bieri <mibieri at gmail.com>
>>>> >>
>>>> >> I'm not quite sure which approach is state-of-the-art as of 2016.
>>>> How would
>>>> >> you do it if you had to make a C/C++ library available in Python
>>>> right now?
>>>> >>
>>>> >> In my case, I have a C library with some scientific functions on
>>>> matrices
>>>> >> and vectors. You will typically call a few functions to configure the
>>>> >> computation, then hand over some pointers to existing buffers
>>>> containing
>>>> >> vector data, then start the computation, and finally read back the
>>>> data.
>>>> >> The library also can use MPI to parallelize.
>>>> >>
>>>> >
>>>> > Depending on how minimal and universal you want to keep things, I use
>>>> > the ctypes approach quite often, i.e. treat your numpy inputs an
>>>> > outputs as arrays of doubles etc using the ndpointer(...) syntax. I
>>>> > find it works well if you have a small number of well-defined
>>>> > functions (not too many options) which are numerically very heavy.
>>>> > With this approach I usually wrap each method in python to check the
>>>> > inputs for contiguity, pass in the sizes etc. and allocate the numpy
>>>> > array for the result.
>>>>
>>>> FWIW, the broader Python community seems to have largely deprecated
>>>> ctypes in favor of cffi. Unfortunately I don't know if anyone has
>>>> written helpers like numpy.ctypeslib for cffi...
>>>>
>>>> -n
>>>>
>>>> --
>>>> Nathaniel J. Smith -- https://vorpus.org
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>>>
>>>
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>>
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