Question
I see everywhere examples that super-class methods should be called by:
- super(SuperClass, instance).method(args)
- SuperClass.method(instance, args)
Consider the following situation:
- class A(object):
- def __init__(self):
- print('Running A.__init__')
- super(A,self).__init__()
- class B(A):
- def __init__(self):
- print('Running B.__init__')
- # super(B,self).__init__()
- A.__init__(self)
- class C(A):
- def __init__(self):
- print('Running C.__init__')
- super(C,self).__init__()
- class D(B,C):
- def __init__(self):
- print('Running D.__init__')
- super(D,self).__init__()
- foo=D()
- A
- / \
- B C
- \ /
- D
That's bad because C's __init__ is skipped. The reason for that is because B's __init__ calls A's __init__ directly. The purpose of super is to resolve inheritance diamonds. If you un-comment
- # super(B,self).__init__()
- A.__init__(self)
Now all the __init__ methods get called. Notice that at the time you define B.__init__ you might think that super(B,self).__init__() is the same as callingA.__init__(self), but you'd be wrong. In the above situation, super(B,self).__init__() actually calls C.__init__(self).
Holy smokes, B knows nothing about C, and yet super(B,self) knows to call C's __init__? The reason is because self.__class__.mro() contains C. In other words,self (or in the above, foo) knows about C.
So be careful -- the two are not fungible. They can yield vastly different results.
Using super has pitfalls. It takes a considerable level of coordination between all the classes in the inheritance diagram. (They must, for example, either have the same call signature for __init__, since any particular __init__ would not know which other __init__ super might call next, or else use **kwargs.) Furthermore, you must be consistent about using super everywhere. Skip it once (as in the above example) and you defeat the entire purpose of super. See the link for more pitfalls.
If you have full control over your class hierarchy, or you avoid inheritance diamonds, then there is no need for super.
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