python multiple inheritance passing arguments to constructors using super

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春和景丽
春和景丽 2020-12-02 14:00

Consider the following snippet of python code

class A(object):
    def __init__(self, a):
        self.a = a

class B(A):
    def __init__(self, a, b):
              


        
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  • 2020-12-02 14:30

    Well, when dealing with multiple inheritance in general, your base classes (unfortunately) should be designed for multiple inheritance. Classes B and C in your example aren't, and thus you couldn't find a proper way to apply super in D.

    One of the common ways of designing your base classes for multiple inheritance, is for the middle-level base classes to accept extra args in their __init__ method, which they are not intending to use, and pass them along to their super call.

    Here's one way to do it in python:

    class A(object):
        def __init__(self,a):
            self.a=a
    
    class B(A):
        def __init__(self,b,**kw):
            self.b=b
            super(B,self).__init__(**kw)
    
     class C(A):
        def __init__(self,c,**kw):
            self.c=c
            super(C,self).__init__(**kw)
    
    class D(B,C):
        def __init__(self,a,b,c,d):
            super(D,self).__init__(a=a,b=b,c=c)
            self.d=d
    

    This can be viewed as disappointing, but that's just the way it is.

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  • 2020-12-02 14:53

    Unfortunately, there is no way to make this work using super() without changing the Base classes. Any call to the constructors for B or C is going to try and call the next class in the Method Resolution Order, which will always be B or C instead of the A class that the B and C class constructors assume.

    The alternative is to call the constructors explicitly without the use of super() in each class.

    class A(object):
        def __init__(self, a):
            object.__init__()
            self.a = a
    
    class B(A):
        def __init__(self, a, b):
            A.__init__(self, a)
            self.b = b
    
    class C(object):
        def __init__(self, a, c):
            A.__init__(self, a)
            self.c = c
    
    class D(B, C):
        def __init__(self, a, b, c, d):
            B.__init__(self, a, b)
            C.__init__(self, a, c)
            self.d = d 
    

    There is still a downside here as the A constructor would be called twice, which doesn't really have much of an effect in this example, but can cause issues in more complex constructors. You can include a check to prevent the constructor from running more than once.

    class A(object):
        def __init__(self, a):
            if hasattr(self, 'a'):
                return
            # Normal constructor.
    

    Some would call this a shortcoming of super(), and it is in some sense, but it's also just a shortcoming in multiple inheritance in general. Diamond inheritance patterns are often prone to errors. And a lot of the workarounds for them lead to even more confusing and error-prone code. Sometimes, the best answer is to try and refactor your code to use less multiple inheritance.

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