On Tue, Feb 1, 2022 at 2:36 PM Greg Ewing <greg.ew...@canterbury.ac.nz> wrote:
> I think the reason for this is that Cython is trying to be two > things at once: (1) an interface between Python and C, (2) a > compiler that turns Python code into fast C code. > As a long time Cython user, but not a Cython developer, I think (2) is the primary purpose, with (1) as a handy side benefit (otherwise we'd just use ctypes, yes?) That being said a not-quite-as-fast-as-possible mode would be fine. Though I'm not sure it would buy much, as long as projects (including major ones like numpy) are using as-fast-as-possible mode. As long as I'm being wishy-washy: maybe we don't need as-fast-as-possible at all, and can get to fast-enough-that-you-won't-notice. e.g. if the stable API is missing a feature needed for important performance reasons, then it could be extended, rather than forcing projects that use it to suffer significantly performance-wise. It seems the Cython/numpy use-case is a good way to test the limits of performance. -CHB > To address this there could be an option to choose between > "compatible code" and "fast code", with the former restricting > itself to the stable API. > > -- > Greg > > _______________________________________________ > Python-Dev mailing list -- python-dev@python.org > To unsubscribe send an email to python-dev-le...@python.org > https://mail.python.org/mailman3/lists/python-dev.python.org/ > Message archived at > https://mail.python.org/archives/list/python-dev@python.org/message/EACB7ZZVDDNL4QAIODYDNWLKI455QDKP/ > Code of Conduct: http://python.org/psf/codeofconduct/ > -- Christopher Barker, PhD (Chris) Python Language Consulting - Teaching - Scientific Software Development - Desktop GUI and Web Development - wxPython, numpy, scipy, Cython
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