On Tue, May 10, 2011 at 11:41 AM, Olivier Delalleau <sh...@keba.be> wrote:
> > 2011/5/10 Charles R Harris <charlesr.har...@gmail.com> > >> >> >> On Tue, May 10, 2011 at 11:16 AM, Olivier Delalleau <sh...@keba.be>wrote: >> >>> Hi, >>> >>> I opened a ticket about this ( >>> http://projects.scipy.org/numpy/ticket/1827), >>> but thought I'd also ask on the mailing list whether this is working as >>> intended. >>> >>> It looks like the resulting dtype of a "+" operation between a scalar and >>> an >>> array can depend on the order of the arguments. This seems wrong. >>> >>> Tested with numpy 1.5.1 under Ubuntu 11.04 (64-bit). >>> >>> In [4]: (numpy.array(0, dtype='uint16') + numpy.array([1], >>> dtype='int8')).dtype >>> Out[4]: dtype('int16') >>> >>> In [6]: (numpy.array([1], dtype='int8') + numpy.array(0, >>> dtype='uint16')).dtype >>> Out[6]: dtype('int8') >>> >>> Thanks for any feedback, >>> >>> >> This has been fixed in the coming 1.6.0 release. >> >> In [2]: (numpy.array(0, dtype='uint16') + >> numpy.array([1],dtype='int8')).dtype >> Out[2]: dtype('int8') >> >> In [3]: (numpy.array([1], dtype='int8') + >> numpy.array(0,dtype='uint16')).dtype >> Out[3]: dtype('int8') >> >> Chuck >> > > Cool, thanks, I'll close the ticket then :) > > Already done. Chuck
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