On Fri, Jan 24, 2003 at 09:07:21PM +0100, Konrad Hinsen wrote:
José Fonseca <j_r_fonseca@yahoo.co.uk> writes:
With the ability of subclassing types in recent versions of the Python language, more people will be interested in subclassing Numeric arrays for specific purposes. Still the use of functions instead of methods takes away many of the advantages, the ability of being overloaded.
True. On the other hand, there is also an advantage: NumPy routines can be used on standard Python data types such as number and sequence types.
In the ideal world (which might come one day), core NumPy functionality would be part of standard Python, and then all these operations would work on other built-in types as well.
Until then, I am not sure that changing NumPy functions to methods is a good idea. I need to call them on scalar numbers much more often than I subclass arrays.
You've got a good point there. I often want to use with other Numeric array-alike classes, but I've also used them with standard Python data types for convenience. Still, it's perfectly possible to both interfaces to co-exist. Of course that when one would use the .method version it can't expect to work with standard Python data types and has to make a choice, or to use asarray() or something equivalent before using it. Regards, José Fonseca __________________________________________________ Do You Yahoo!? Everything you'll ever need on one web page from News and Sport to Email and Music Charts http://uk.my.yahoo.com