On Mon, Mar 19, 2012 at 01:35:49PM +0100, Victor Stinner wrote: > Said differently: time.steady(strict=True) is always monotonic (*), > whereas time.steady() may or may not be monotonic, depending on what > is avaiable. > > time.steady() is a best-effort steady clock. > > (*) time.steady(strict=True) relies on the OS monotonic clock. If the > OS provides a "not really monotonic" clock, Python cannot do better.
I don't think that is true. Surely Python can guarantee that the clock will never go backwards by caching the last value. A sketch of an implementation: def monotonic(_last=[None]): t = system_clock() # best effort, but sometimes goes backwards if _last[0] is not None: t = max(t, _last[0]) _last[0] = t return t Overhead if done in Python may be excessive, in which case do it in C. Unless I've missed something, that guarantees monotonicity -- it may not advance from one call to the next, but it will never go backwards. There's probably even a cleverer implementation that will not repeat the same value more than twice in a row. I leave that as an exercise :) As far as I can tell, "steady" is a misnomer. We can't guarantee that the timer will tick at a steady rate. That will depend on the quality of the hardware clock. -- Steven _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com