Heh, so it seems if numpy doesn't understand the format string it falls back to copying the array through the sequence protocol (__getitem__ + len)? Since Cython can't convert multi-dimension C arrays to objects, the memoryview getitem will use the struct module (which really handles a subset of the things Cython handles). It cannot handle any type of struct.
On 21 August 2012 11:54, Robert Bradshaw <rober...@gmail.com> wrote: > I fixed one of them by making char signed. The root issue seems to be > that when trying to convert an object to numpy, it looks at the buffer > format, and rejects plain char. The fallback code (using struct et al) > is unable to cope with the nested/repeated formats. The other could be > fixed similarly, if that's the direction we want to go. > > - Robert > > > On Mon, Aug 20, 2012 at 11:18 PM, Stefan Behnel <stefan...@behnel.de> wrote: >> Hi, >> >> we are now down to two test failures in the NumPy memoryview test: >> >> https://sage.math.washington.edu:8091/hudson/job/cython-devel-tests/647/testReport/ >> >> I'm going to make a "final" :) pre-release when they are fixed, so please >> have a look. >> >> Stefan >> _______________________________________________ >> cython-devel mailing list >> cython-devel@python.org >> http://mail.python.org/mailman/listinfo/cython-devel > _______________________________________________ > cython-devel mailing list > cython-devel@python.org > http://mail.python.org/mailman/listinfo/cython-devel _______________________________________________ cython-devel mailing list cython-devel@python.org http://mail.python.org/mailman/listinfo/cython-devel
