Serhiy Storchaka <storchaka+cpyt...@gmail.com> added the comment:
Microbenchmarks show some speed up: Iterating large range: $ ./python -m timeit -s 'r = range(0, 10**20, 3**35)' 'list(r)' Before: 2000 loops, best of 5: 199 usec per loop After: 2000 loops, best of 5: 113 usec per loop Unpickling: $ ./python -m timeit -s 'from pickle import dumps, loads; p = dumps([iter(range(i)) for i in range(1000)])' 'loads(p)' Before: 500 loops, best of 5: 476 usec per loop After: 500 loops, best of 5: 363 usec per loop I did not observe any difference in iterating small ranges and pickling. Smaller size in memory, smaller pickles. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue45026> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
