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 :) -=- Olivier
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