[Numpy-discussion] should get rid of the annoying numpy STDERR output
Skipper Seabold
jsseabold@gmail....
Thu Mar 24 09:17:15 CDT 2011
On Thu, Mar 24, 2011 at 9:45 AM, Ralf Gommers
<ralf.gommers@googlemail.com> wrote:
> 2011/3/24 Dmitrey <tmp50@ukr.net>:
>>
>> Hi
>>
>> 2011/3/24 Dmitrey <tmp50@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
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