Mark Dickinson <dicki...@gmail.com> added the comment:
One thought: would the deci_sqrt approach help with value ranges where the values are well within float limits, but the squares of the values are not? E.g., on my machine, I currently get errors for both of the following: >>> xs = [random.normalvariate(0.0, 1e200) for _ in range(10**6)] >>> statistics.stdev(xs) >>> xs = [random.normalvariate(0.0, 1e-200) for _ in range(10**6)] >>> statistics.stdev(xs) It's hard to imagine that there are too many use-cases for values of this size, but it still feels a bit odd to be constrained to only half of the dynamic range of float. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue45876> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
