Serhiy Storchaka added the comment: Many collections in other programming languages use overallocating rate 100%. Perhaps overallocating rate 12.5% for Python lists is good compromise between speed and memory usage (as far as Python lists have no explicit resize method), but for short-living objects we can use larger overallocating rate.
In theory for overallocating rate r long list needs in average O(1/log(1+r)) reallocations and O((r+1)/r) copyings per element. I.e. 50% overallocating rate is 3-3.4 times more efficient than current 12.5% overallocating rate and 100% overallocating rate is 1.5-1.7 times more efficient than 50% overallocating rate (in terms of numbers of reallocations and copyings). I'm interesting what will happened when increase overallocating rate (50% or 100%) for PyAccu. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue19581> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
