How do I build pythran3?
On Thu, Jan 7, 2016 at 2:51 PM, serge guelton < serge.guel...@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.guel...@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* -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
