Kevin Modzelewski <k...@dropbox.com> wrote: > Using optional type annotations is a really promising strategy and may > eventually be added to Pyston, but our primary target right now is > unmodified and untyped Python code
What I meant to say is that Numba already has done the boiler-plate coding. Even if you use no type annotations, it is already a Python bytecode JIT-compiler based on LLVM that is hooked up with CPython. You might have to add optimizations to it, yes, but it has the skeleton for a CPython LLVM-based JIT compiler set up and running. If you provide no type annotations, Numba's autojit decorator will do a data-guided specialization. The types will be inferred from running the code through the CPython interpreter, and then Numba will generate a specialization. This is somewhat similar to the information-gathering that GCC does when we run profile-guided optimizations. Sturla _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
