jfbu <j...@free.fr> added the comment:
Yes indeed the source code of _randbelow_with_getrandbits generates this effect. And I understand the puzzlement about my test file setting the same random seed and then complaining about correlations. But there is some non-uniformity which is enormous between what happens for say n=99 and m=127 versus n=99 and m=128. Now that I looked at the actual source code, I have in other programming contexts available manners of reducing from a power of 2 to an arbitrary range which should not show this artefact. I will need to translate it into Python and may submit a PR for evaluation after having tested. My test file illustrates that if randrange() proceeded from a pseudo-random variable emulating the uniform distribution in (0,1) and rescaled and rounded to an integer range, correlations between distinct ranges would be of a completely different nature than what the CPython method leads to. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue39867> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
