On 15.12.2014 01:12, Stefan van der Walt wrote:

Hi all,

Since the topic of context managers recently came up, what do you think of adding a context manager for seterr?

with np.seterr(divide='ignore'): frac = num / denom

already exists as np.errstate: with np.errstate(divide='ignore'):

On 2014-12-15 02:23:18, Julian Taylor wrote:

with np.errstate(divide='ignore'):

Perfect, thanks! Stéfan

On 15.12.2014 01:40, Stefan van der Walt wrote:

On 2014-12-15 02:23:18, Julian Taylor wrote:

...

already exists as np.errstate:

with np.errstate(divide='ignore'):

With 'ignore' a warning is still raised--is this by choice?

...

...

...

import numpy as np x = np.array([0, 1, 2.]) with np.errstate(divide='ignore'): ... x/x ... __main__:2: RuntimeWarning: invalid value encountered in true_divide array([ nan, 1., 1.])

(I see it is documented that way as well, so I suspect so.)

0./0. raises an invalid floating point exception, unlike e.g 1./0. which raises a zero division exception. NumPy just bubbles up what the processor does, which means it does not behave like Python which always raises ZeroDivision also for 0./0.