Le mer. 23 sept. 2020 à 13:49, Ivan Levkivskyi <levkivs...@gmail.com> a écrit : > Sure, but JIT optimizations assume there are some "hot spots" in the code > where e.g. a function is called in a loop, so that type information can be > gathered and re-used. > The problem is that in my experience there are many applications where this > is not the case: there are no major hot spots. For such applications JITs > will not be efficient, > while static annotations will work. > > Another thing is that making CPython itself JITted may be even harder than > adding some (opt-in) static based optimizations, but > I am clearly biased here.
CPython has a JIT compiler since Python 3.8 :-) When a code object is executed more than 1024 times, a cache is created for LOAD_GLOBAL instructions. The What's New in Python 3.8 entry says that LOAD_GLOBAL "is about 40% faster now": https://docs.python.org/dev/whatsnew/3.8.html#optimizations Victor -- Night gathers, and now my watch begins. It shall not end until my death. _______________________________________________ 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/EMBQQYCWRU53LAB25NBX6BUXRV3XU6ZT/ Code of Conduct: http://python.org/psf/codeofconduct/
