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From: Neal Becker <ndbecker2@gmail.com>
Newsgroups: comp.lang.python.announce
Subject: Re: [pythran] Pythran 0.7.4 is out!
Date: Fri, 8 Jan 2016 07:49:35 -0500
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How do I build pythran3?


On Thu, Jan 7, 2016 at 2:51 PM, serge guelton <
serge.guelton@telecom-bretagne.eu> wrote:

> (sorry for the double posting, if any)
>
> Dear pythraners and pythonists,
>
> The pythran team (a great total of 2 active developers) is delighted to
> announce the release of Pythran 0.7.4, available on the traditional
> channels:
>
>     - pypi: https://pypi.python.org/pypi/pythran
>     - conda: https://anaconda.org/serge-sans-paille/pythran
>     - github: https://github.com/serge-sans-paille/pythran
>
> As usual, here is a (new) code sample, once again adapted from a
> stackoverflow question[0] that showcases pythran capability:
>
>
>     #pythran export check_mask(bool[][], bool[])
>     #  ^~~~~~~ non intrusive top-level annotation
>
>     import numpy as np
>     #      ^~~~~~ numpy support (partial)
>     def check_mask(db, out, mask=[1, 0, 1]):
>         for idx, line in enumerate(db):
>             target, vector = line[0], line[1:]
>             # ^~~~~ type destructuring, array view
>             if (mask == np.bitwise_and(mask, vector)).all():
>             # ^~~~~~~ optimization of high level construct
>                 if target == 1:
>                     out[idx] = 1
>         return out
>
>
> Compiled with:
>
>     % pythran check_mask.py
>
> And benchmarked with:
>
>     % python -m timeit -s 'n=10e3 ; import numpy as np;db  =
> np.array(np.random.randint(2, size=(n, 4)), dtype=bool); out =
> np.zeros(int(n),dtype=bool); from eq import check_mask' 'check_mask(db,
> out)'
>
> On average, the CPython version runs in 137 msec while the pythran version
> run in 450us on my laptop :-)
>
>
> Here is an extract of the changelog:
>
> 2016-01-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>
>
>         * IPython's magic for pythran now supports extra compile flags
>
>         * Pythran's C++ output is compatible with Python3 and pythran3 can
> compile it!
>
>         * More syntax checks (and less template traceback)
>
>         * Improved UI (multiline pythran exports, better setup.py...)
>
>         * Pythonic leaning / bugfixing (this tends to be a permanent item)
>
>         * More generic support for numpy's dtype
>
>         * Simpler install (no more boost.python deps, nor nt2
> configuration)
>
>         * Faster compilation (no more boost.python deps, smarter pass
> manager)
>
>         * Better testing (gcc + clang)
>
> Again, thanks a lot to Pierrick for his continuous top-quality work, and
> to the OpenDreamKit[1] project that funded (most of) the recent
> developments!
>
> Special thanks to @hainm, @nbecker, @pkoch, @fsteinmetz, @Suor for their
> feedbacks. *You* give us the motivation to go on!
>
>
> [0]
> http://stackoverflow.com/questions/34500913/numba-slower-for-numpy-bitwise-and-on-boolean-arrays
> [1] http://opendreamkit.org/
>



-- 
*Those who don't understand recursion are doomed to repeat it*