Hi, I've seen several threads on this subject, but haven't (yet) run across one that answers my specific questions. This should be really easy for someone, so here goes:
I'm running some numerical simulations under Ubuntu, and using Python as my scripting language to automatically manage input and output. I need to have a precise performance measurement (CPU time) of how long it takes to run my simulations. Right now I have something like: stime = time.time() subprocess.call(["./mysim","args"]) ftime = time.time() print ftime-stime However, time.time() only gives wall-clock time, so I'm also measuring the time it takes to run other processes running at the same time. What I'd rather have is: stime = time.clock() subprocess.call(["./mysim","args"]) ftime = time.clock() print ftime-stime But this, of course, usually outputs 0, because time.clock() does not count the CPU ticks of the subprocess. So, long story short, I need to get CPU time of something I call using subprocess.call(). I don't want to have to profile my code, since it will significantly reduce computation time. Thanks for the advice. Kevin -- http://mail.python.org/mailman/listinfo/python-list
