This module is inspired by Don Beaudry's functor module, which is available in the contrib section of the Python ftp site.
Basically xapply can be thought of as ``lazy apply.'' You supply a function and some of its arguments to xapply and it returns a function with these arguments prebound. The name ``curry'' has also been suggested for this function, if that's the sort of word you understand. An example:
from bytecodehacks.xapply import xapply def make_adder(n): def f(x,y): return x+y return xapply(f,n)
Then in usage:
>>> add1=make_adder(1) >>> add1(4) 5
This module is not (yet?) as general as the functor module as it only allows wrapping of functions and instance methods, but it's getting there; I think the only incompatibility left is that varadic parameters (i.e. ``*'' ones) are basically invisible to the xapply function.
It's main advantage over the functor module is that of speed; while functor.xapply returns an object that is twice as slow as a regular function, what bytecodehacks.xapply.xapply returns is a function, and calling it is no slower than calling any other (in most cases; if the the passed function takes ``**kw'' style arguments and you pass in keyword arguments not in the functions parameter list then there will be a small overhead as the kw dict gets updated).
There is but one exported function from this module:
f = xapply(func,arg1,...,argk,key1=val1,...,keyl=vall)
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