Serhiy Storchaka <storchaka+cpyt...@gmail.com> added the comment:
Iterating large integers: $ ./python -m pyperf timeit -s 'r = range(0, 10**20, 3**35)' 'for i in r: pass' baseline: Mean +- std dev: 223 us +- 10 us PR 27986: Mean +- std dev: 128 us +- 4 us PR 28176: Mean +- std dev: 99.0 us +- 3.7 us $ ./python -m pyperf timeit -s 'r = range(0, 10**20, 3**35)' 'list(r)' baseline: Mean +- std dev: 191 us +- 13 us PR 27986: Mean +- std dev: 107 us +- 7 us PR 28176: Mean +- std dev: 91.3 us +- 2.4 us Unpickling: $ ./python -m pyperf timeit -s 'from pickle import dumps, loads; p = dumps([iter(range(i)) for i in range(1000)])' 'loads(p)' baseline: Mean +- std dev: 535 us +- 29 us PR 27986: Mean +- std dev: 420 us +- 15 us PR 28176: Mean +- std dev: 418 us +- 17 us $ ./python -m pyperf timeit -s 'from pickle import dumps, loads; p = dumps([iter(range(i*10**10)) for i in range(1000)])' 'loads(p)' baseline: Mean +- std dev: 652 us +- 37 us PR 27986: Mean +- std dev: 530 us +- 43 us PR 28176: Mean +- std dev: 523 us +- 17 us Seems PR 28176 is slightly faster than PR 27986 in iterating long integers. ---------- _______________________________________ 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
