Charles R Harris wrote: > > Speed depends on the achitecture. Float is a trifle slower than double > on my Athlon64, but faster on PPC750. I don't know about other > machines. I think there is a good argument for accumlating in double > and converting to float for output if required.
Yes there is. It's just not what NumPy ever does so it would be an exception in this case and would need a more convincing argument in my opinion. You can always specify the accumulation type yourself with the dtype argument. We are only talking about what the default should be. -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
