Hi, On Thursday 12 October 2006 10:49, Christopher Barker wrote: > As someone on this list (sorry to quick with the delete button) said: <snip>
I think I might agree with everything (!) you that - very well written . > Travis Oliphant wrote: > > Now, it would be possible to give ufuncs a dtype keyword argument that > > allowed you to specify which underlying loop was to be used for the > > calculation. > > > > sqrt(a, dtype=complex). > > I like this OK, and isn't is similar to the dtype argument in the > accumulating methods? (sum, etc.). However, it's probably not worth the > C-api change -- is it that different than calling: > > sqrt(a.astype(complex)) ? > It is very late in the game - obvious ! (one week before the announced final release). But I think adding the dtype argument to ufuncs would be a very useful addition !! It is very nice to look at ! And it saves (temporary) memory and should be noticeably faster than "sqrt(a.astype(complex))". This dtype addition might address many of the issues I have raised before on this list. Travis, be courageous and change the C-API one last time before putting it in stone for 1.0 final !!! > As for scipy, I heartily agree that scipy should be a superset of numpy, > and NOT change the behavior of numpy functions and methods. We're taking > the opportunity at this point for numpy to break backward compatibility > with Numeric/numarray -- this is probably the best time to do the same > for scipy. > > couldn't we at least introduce new names? > > numpy.scimath.csqrt() > > for instance? > > -Chris It has to be very well documented what the 12 functions (the last 3%) are were scipy and numpy differ. --- if at all possible I would prefer a name change like csqrt (or better sqrtc - I always like seen things together when sorted alphabetically ;-) ) [by the way: I like sqrt(-1) == nan just fine] Thanks for the great work. - Sebastian ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
