On Wed, Apr 28, 2010 at 11:05, Travis Oliphant <[email protected]> wrote: > > On Apr 26, 2010, at 7:19 PM, David Warde-Farley wrote: > >> Trying to debug code written by an undergrad working for a colleague >> of >> mine who ported code over from MATLAB, I am seeing an ugly melange of >> matrix objects and ndarrays that are interacting poorly with each >> other >> and various functions in SciPy/other libraries. In particular there >> was >> a custom minimizer function that contained a line "a * b", that was >> receiving an Nx1 "matrix" and a N-length array and computing an outer >> product. Hence the unexpected 6 GB of memory usage and weird >> results... > > Overloading '*' and '**' while convenient does have consequences. It > would be nice if we could have a few more infix operators in Python to > allow separation of element-by-element calculations and "dot-product" > calculations. > > A proposal was made to allow "calling a NumPy array" to infer dot > product: > > a(b) is equivalent to dot(a,b) > > a(b)(c) would be equivalent to dot(dot(a,b),c) > > This seems rather reasonable. > > > While I don't have any spare cycles to push it forward and we are > already far along on the NumPy to 3.0, I had wondered if we couldn't > use the leverage of Python core developers wanting NumPy to be ported > to Python 3 to actually add a few more infix operators to the language. > > One of the problems of moving to Python 3.0 for many people is that > there are not "new features" to outweigh the hassle of moving. > Having a few more infix operators would be a huge incentive to the > NumPy community to move to Python 3. > > Anybody willing to lead the charge with the Python developers?
There is currently a moratorium on language changes. This will have to wait. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
