Charles R Harris wrote: > Travis, > > Is this intentional? > > In [77]: arange(5, dtype=int)/0 > Out[77]: array([0, 0, 0, 0, 0]) > > It looks deliberate because all zeros are returned, but it might be > better if it raised an exception.
As mentioned before we translate integer division errors into floating-point erros and use the same hardware trapping to trap them if the user requests it. Simulating and "integer-division-by-zero" hardware flag is not trivial as we would have to manage context switching ourselves. So, at least for 1.0, integer and floating-point division by zero are going to be handled the same. -Travis ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
