Hello.
As part of the spring cleanup for NumPy 2.0 I'm soliciting opinions on the
removal of the numpy.f2py.compile() function (documented here
(https://link.getmailspring.com/link/937e4c5c-47d5-40d9-89bb-8fc04b19d...@getmailspring.com/0?redirect=https%3A%2F%2Fnumpy.org%2Fdoc%2Fstable%2Ff2py%2Fus
Thanks to everyone for your answers. I guess the conclusion is that
changing the default ordering will do more harm than good.
So, considering the C API, what do you advise to use to copy a
(probably) row-major ndarray into a data structure that is always
column-major? Like some kind of iterato
Hello everyone! I am working on implementing a tool to assess the complexity of
CPU architecture porting. It primarily focuses on RISC-V architecture porting.
In fact, the tool may have an average estimate of various architecture porting
efforts.My focus is on the overall workload and difficulty
Thanks to everyone for your answers. I guess the conclusion is that
changing the default ordering will do more harm than good.
So, considering the C API, what do you advise to use to copy a
(probably) row-major ndarray into a data structure that is always
column-major? Like some kind of iterato
