On 15 September 2016 at 09:57, Victor Stinner <victor.stin...@gmail.com> wrote: > 2016-09-15 10:02 GMT+02:00 INADA Naoki <songofaca...@gmail.com>: >> In my environ: >> >> ~/local/python-master/bin/python3 -m timeit -s "d = >> dict.fromkeys(range(10**6))" 'list(d)' > > Stooooop! Please stop using timeit, it's lying! > > * You must not use the minimum but average or median > * You must run a microbenchmark in multiple processes to test > different randomized hash functions and different memory layouts > > In short: you should use my perf module. > http://perf.readthedocs.io/en/latest/cli.html#timeit
Made essentially no difference to the results I posted: >py -3.5 -m perf timeit -s "d = dict.fromkeys(range(10**6))" -- "list(d)" .................... Median +- std dev: 21.4 ms +- 0.7 ms >py -3.6 -m perf timeit -s "d = dict.fromkeys(range(10**6))" -- "list(d)" .................... Median +- std dev: 20.0 ms +- 1.1 ms 3.6 remains faster, by very little (barely one standard deviation). I would consider that the same result as timeit (to the level that it's reasonable to assign any meaning to a microbenchmark). Paul _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
