Antoine Pitrou added the comment: With KEEPALIVE_SIZE_LIMIT = 200, the pybench runtime is basically the same as with my patched version. stringbench remains a bit faster though (~8%).
You say that RAM size is cheaper than CPU power today, which is true but misses one part of the picture: the importance of CPU caches, and thus of working set size. There are also probably people wanting to use Python in memory-constrained environments (embedded). I understand the argument about possible optimizations with an external buffer, but are such optimizations likely to be implemented? (see #1590352 and #1629305). If they really are, then I'm happy with the unicode type remaining a plain PyObject! __________________________________ Tracker <[EMAIL PROTECTED]> <http://bugs.python.org/issue1943> __________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
