While designing a simple library, I found myself asking a philosophical question: to check or not to check the parameter's interface?
I think that, considering it is Python, the usual answer would be "no", but here is the situation that got me thinking: class Flock: def __init__(self): self.ducks= [] def do_stuff(self): for duck in self.ducks: duck.quack() class Duck: def quack(self): #quack-quack pass f = Flock() d = Duck() f.ducks.append(d) f.do_stuff() Ok, no big deal there, the problem is if the user forgets to implement the quack() method. The stack trace would complain that "duck.quack()" is wrong, but that can happen hundreds of lines after the user actually added the object to the Flock, and it can be hard to find out what is happening and which object is wrong. Of course I don't want to check isistance(), I like duck typing, but should I check if hasattr() and callable() before adding to the container? What is the pythonic way to deal with it? Am I worrying too much ;-)? Thanks, Joe -- http://mail.python.org/mailman/listinfo/python-list