On Thu, Mar 24, 2011 at 9:45 AM, Ralf Gommers <ralf.gomm...@googlemail.com> wrote: > 2011/3/24 Dmitrey <tm...@ukr.net>: >> >> Hi >> >> 2011/3/24 Dmitrey <tm...@ukr.net> >>> >>> >>> from numpy import inf, array >>> >>> inf*0 >>> nan >>> >>> (ok) >>> >>> >>> array(inf) * 0.0 >>> StdErr: Warning: invalid value encountered in multiply >>> nan >>> >>> My cycled calculations yields this thousands times slowing computations >>> and making text output completely non-readable. >> >> Would old= seterr(invalid= 'ignore') be sufficient for you? >> >> yes for me, but I'm not sure for all those users who use my soft. Maybe it >> will hide some bugs in their objective functions and nonlinear constraints >> in numerical optimization and nonlinear equation systems. > > If we do what you request in your message subject your users will have > the same issue. > > You can wrap (parts of) your code in something like: > olderr = seterr(invalid= 'ignore') > <do stuff> > seterr(**olderr) >
Also, as Robert pointed out to me before np.errstate is a context-manager for ignoring these warnings. I often wrap optimization code with it. In [3]: np.array(np.inf)*0. Warning: invalid value encountered in multiply Out[3]: nan In [4]: with np.errstate(all='ignore'): ...: np.array(np.inf)*0. ...: ...: Out[4]: nan In [5]: np.array(np.inf)*0. Warning: invalid value encountered in multiply Out[5]: nan Skipper _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
