Hi,

What is the current idiom for vectorizing instance methods? I don't need vectorization over self. For functions:

from numpy import *

@vectorize def f(x): if x>0: return 1 else: return 2

print f(array([-1,0,1]))

does the right thing. But for instance methods: class useless: def __init__(self,v): self.v = v

@vectorize def f(self, x): if x>self.v: return 1 else: return 0

u = useless(0) print u.f(array([-1,0,1]))

raises an exception: ValueError: mismatch between python function inputs and received arguments

frompyfunc is possibly more powerful (though it doesn't seem to serve the purpose either) but the fact that it always returns object arrays is thoroughly unappealing.

I can create an inner function and vectorize it on every call to f, but that's not especially efficient or syntactically appealing.

Surely there must be a right way to do this?

Thanks, Anne M. Archibald