Sometimes I'm running more than one notebook at a time; and since %time sometimes puts almost everything into Wall Time when I'm mostly using subprocesses, the Wall Time doesn't give me a good picture of the time spent since multiple notebooks are running. How can I work around this measurement problem?
I think the best way to track time across subprocesses is to use the cputime command in Sage. It takes a keyword arguments subprocesses=True which will try to track the time spent in subprocesses.
sage: t = cputime(subprocesses=True);
sage: integrate(sin(log(x))^2, x)
-1/5*x*sin(2*log(x)) - 1/10*x*cos(2*log(x)) + 1/2*x
sage: cputime(subprocesses=True) - t
0.13
Compare this with the non- subprocesses=True version:
sage: t = cputime();
sage: integrate(sin(log(x))^2, x)
-1/5*x*sin(2*log(x)) - 1/10*x*cos(2*log(x)) + 1/2*x
sage: cputime() - t
0.0099999999999997868
This currently works by using thing cputime method on expect interface objects.
Asked: 2010-08-29 05:02:21 +0200
Seen: 338 times
Last updated: Aug 29 '10
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