Hi,
I had proposed you to create an online table, where
NumPy functions are split into the following categories:
* already ported
* under development (preferably with name of the person who works on it)
* not started yet
Is it possible to get the data like this? This way other possible
contributors (maybe including me) could select an appropriate (i.e. they are
capable of) function for contribution, and other people could estimate the
progress done.
> Yes, we're working on such thing. The temporary location is at
https://bitbucket.org/fijal/hack2/src/default/numready, we'll probably
create a nightly static HTML.
Well, I just got this:
*
File
"/usr/local/lib/python2.7/dist-packages/Flask-0.8-py2.7.egg/flask/app.py",
line /1518/, in |__call__|
return self.wsgi_app(environ, start_response)
*
File
"/usr/local/lib/python2.7/dist-packages/Flask-0.8-py2.7.egg/flask/app.py",
line /1506/, in |wsgi_app|
response = self.make_response(self.handle_exception(e))
*
File
"/usr/local/lib/python2.7/dist-packages/Flask-0.8-py2.7.egg/flask/app.py",
line /1504/, in |wsgi_app|
response = self.full_dispatch_request()
*
File
"/usr/local/lib/python2.7/dist-packages/Flask-0.8-py2.7.egg/flask/app.py",
line /1264/, in |full_dispatch_request|
rv = self.handle_user_exception(e)
*
File
"/usr/local/lib/python2.7/dist-packages/Flask-0.8-py2.7.egg/flask/app.py",
line /1262/, in |full_dispatch_request|
rv = self.dispatch_request()
*
File
"/usr/local/lib/python2.7/dist-packages/Flask-0.8-py2.7.egg/flask/app.py",
line /1248/, in |dispatch_request|
return self.view_functions[rule.endpoint](**req.view_args)
*
File "/home/dmitrey/Install/hack2/numready/numready.py",
line /20/, in |index|
pypy = read_all_numpy_funcs(sys.executable, 'numpypy')
*
File
"/home/dmitrey/Install/hack2/numready/_numready/process.py",
line /21/, in |read_all_numpy_funcs|
assert not err
AssertionError
Well, it doesn't matter essentially, from the code I just see it parses
dir(numpypy) and doesn't provide information on the funcs been worked
on, thus maybe my own efforts to port a func will be just a waste of
time, because someone other will make it done before me.
So, I've tried today's nightly build;
functions *ravel*, *flatten* and *where*, that are extremely important
(they occur very often) are unimplemented yet;
Extremely**important function*dot *for matrix multiplication has very
strange behavior:
>>>> np.dot(np.ones((2,4)),np.array([1,2,3,4]))
20.0
CPython result:
>>> np.dot(np.ones((2,4)),np.array([1,2,3,4]))
array([ 10., 10.])
I haven't tested any further, it already enough to make a sad conclusion
about current numpypy progress and quality. In either way, I would like
to have possibility to contribute some funcs, what should I do? Can I
obtain git edit rights (or you're using something else, like mercury or
svn?)
Also, I would like to stay tuned or even participate in numpypy
discussion, but mail list already has high flow wrt JIT backends and
other info that has no interest to me, I guess reading it is only a
waste of time for many other PyPy-numpy users. Is it possible to create
other mail list, e.g. PyPy-Math, for discussion of numpy, scipy ports
and other related info?
-----------------------
Regards, D.
http://openopt.org/Dmitrey
Also, is it possible to install recent numpypy without reinstallation of
whole PyPy?
Nope.
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