On Tue, Jan 17, 2012 at 8:22 PM, Dmitrey <[email protected]> wrote: > 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.
I guess the main point why it does that is that it can be fully automatic. It's impossible to keep track manually marking those functions. > > So, I've tried today's nightly build; > functions ravel, flatten and where, that are extremely important (they occur > very often) are unimplemented yet; that's correct, also noone is working on them at the moment. > > 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.]) that's indeed buggy. > > I haven't tested any further, it already enough to make a sad conclusion > about current numpypy progress and quality. Not sure how you make conclusions about quality, but noone ever said that the entire numpy is implemented. > 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?) We use mercurial. Either create a branch (like a fork on bitbucket) or create a bug tracker issues (bugs.pypy.org) with a diff. Right now work is only being done on indexing by arrays. > 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? I think pypy-dev is sufficiently low volume to skip unrelated discussions if you don't like them, don't you think? Cheers, fijal _______________________________________________ pypy-dev mailing list [email protected] http://mail.python.org/mailman/listinfo/pypy-dev
