I would say "go ahead". Do you want someone to review it a bit? Cheers, fijal
On Sun, Dec 28, 2014 at 10:48 PM, Matti Picus <matti.pi...@gmail.com> wrote: > I have been plugging away at getting linalg support working via the ufunc > capi in cpyext. > It turns out that the branch can actually run much of linalg, and does not > crash pypy. > The ufunc api is a very convoluted, it uses a function-selection mechanism > based on dtypes, and function interface specification via signatures. I am > sure I have not covered all the corners with the tests that exist in > micronumpy, and the numpy tests seem very minimal as well, but it seems to > work as advertised. > Currently numpy's linalg uses the cpyext interface, my next step should be > to use cffi instead via the extended frompyfunc() interface that supports > most of the ufunc capi arguments, this work will happen in the cffi-linalg > branch of pypy/numpy. > I would like to merge the ufuncapi branch of pypy to default, that would > make work on the pypy/numpy repo easier. Are there objections and/or does > anyone know of a wider suite of tests of ufuncs? > > Matti > > Note that we now have a solution for getting non-ui matplotlib plots: > - translate the pypy ufuncapi branch > - set it up in a virtualenv > - install the cffi-linalg branch of pypy/numpy > - install github.com/mattip/matplotlib > > This is sufficient to run the python-benchmarks repo from > https://github.com/numfocus/python-benchmarks > > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
