Is the genutils module not included to standard CPython edition? First of all I'm interested in what is the best way for latter, for to users not need installing anything else. Thx, D.
Fernando Perez wrote: > On 5/12/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > >> It depends on what you're aiming at. If you want to compare different >> implementations of some expressions and need to know their average >> execution times you should use the timeit module. If you want to have >> the full execution time of a script, time.time (call at the begin and >> end, compute the difference, gives the elapsed time) and time.clock >> (under linux the cpu clock time used by the process) are the methods >> you want. >> > > Don't use time.clock, it has a nasty wraparound problem that will give > you negative times after a while, and effectively junk for very long > running processes. This is much safer (from IPython.genutils): > > def clock(): > """clock() -> floating point number > > Return the *TOTAL USER+SYSTEM* CPU time in seconds since the start of > the process. This is done via a call to resource.getrusage, so it > avoids the wraparound problems in time.clock().""" > > u,s = resource.getrusage(resource.RUSAGE_SELF)[:2] > return u+s > > > The versions for only user or only system time are obvious, and > they're already in IPython.genutils as well: > > http://projects.scipy.org/ipython/ipython/browser/ipython/trunk/IPython/genutils.py#L165 > > Cheers, > > f > _______________________________________________ > Numpy-discussion mailing list > [email protected] > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
