Hi, On Tue, Oct 18, 2011 at 11:34, Dirkjan Ochtman <dirk...@ochtman.nl> wrote: > I'm confused -- I'm fairly convinced you think that a reasonable JIT > is harder than writing numpy, and not the other way around?
Let me chime in --- applying the JIT to "numpypy" or to any other piece of RPython code is, if not trivial, at least very straightforward. That's what our "JIT generator" does for you. In comparison, writing numpy (in whatever way, including all the discussions here) is a much longer task. Fijal is sticking to his point, which is that if we rewrite (large parts of) numpy in RPython, we are getting JIT support for free; but if we are *only* going down the route of interfacing with existing pieces of C code, we don't get any JIT in the end, and the performance will just suck. Not to mention that from my point of view it's clear which of the two paths is best to attract newcomers to pypy. A bientôt, Armin. _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev