Raymond Hettinger <[EMAIL PROTECTED]> added the comment: When you need full precision, the Kahan approach helps but doesn't make guarantees and can sometimes hurt (it makes some assumptions about the data). One use case in is computing stats like a mean where many of the larger magnitude entries tend to cancel out but only after clipping bits off of the lower magnitude components.
__________________________________ Tracker <[EMAIL PROTECTED]> <http://bugs.python.org/issue2819> __________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
