Jp Calderone <[EMAIL PROTECTED]> writes: > Have you profiler data in support of this? Suggesting >optimizations, especially ones which require semantic changes to >existing behavior, without actually knowing that they'll speed things >up, or even that they are targetted at bottleneck code, is kind of a >waste of time.
I don't have measurements for Python (no idea whether PyPy supports profiling, and CPython interpreters aren't very interesting since the effect matters mostly for compiled code), but Flavors faced a very similar problem and caching was a big win. I'm sure all serious CLOS implementations do something similar. -- http://mail.python.org/mailman/listinfo/python-list
