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.picus@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

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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.picus@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

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