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    <p>Regarding the inheritance issue: This can be done with a slight change to MultiMethod. (Iterating through self.typemap and checking with <code>issubclass</code>):</p> <pre><code>registry = {} class MultiMethod(object): def __init__(self, name): self.name = name self.typemap = {} def __call__(self, *args): types = tuple(arg.__class__ for arg in args) # a generator expression! for typemap_types in self.typemap: if all(issubclass(arg_type,known_type) for arg_type,known_type in zip(types,typemap_types)): function = self.typemap.get(typemap_types) return function(*args) raise TypeError("no match") def register(self, types, function): if types in self.typemap: raise TypeError("duplicate registration") self.typemap[types] = function def multimethod(*types): def register(function): name = function.__name__ mm = registry.get(name) if mm is None: mm = registry[name] = MultiMethod(name) mm.register(types, function) return mm return register class A(object): pass class B(A): pass class C(object): pass @multimethod(A,A) def foo(arg1,arg2): print 'works' foo(A(),A()) #works foo(A(),B()) #works foo(C(),B()) #raises TypeError </code></pre> <p>Note that <code>self.typemap</code> is a dict, and dicts are unordered. So if you use @multimethod to register two functions, one whose types are subclasses of the other, then the behavior of <code>foo</code> may be undefined. That is, the result would depend on which <code>typemap_types</code> comes up first in the loop <code>for typemap_types in self.typemap</code>. </p>
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