In general, the super keyword can be used to call overridden methods, access hidden fields or invoke a superclass's constructor. Super() lets you avoid referring to the base class explicitly, which can be nice But the main advantage comes with multiple inheritance, where all sorts of fun stuff can happen. In fact, multiple inheritance is the only case where super() is of any use I would not recommend using it with classes using linear inheritance, where it's just useless overhead. The one with super has greater flexibility
The call chain for the methods can be intercepted and functionality injected. As for chaining super::super, as i mentionned in the question, i have still to find an interesting use to that For now, i only see it as a hack, but it was worth mentioning, if only for the differences with java (where you can't chain super). Super e>) says that it's some type which is an ancestor (superclass) of e Extends e>) says that it's some type which is a subclass of e (in both cases e itself is okay.) so the constructor uses the
'super' object has no attribute '__sklearn_tags__' This occurs when i invoke the fit method on the randomizedsearchcv object I attempted to tune the hyperparameters of an xgbregressor. The only workaround i found is to declare all members final yourself and use the @data annotation instead Those subclasses need to be annotated by @equalsandhashcode and need an explicit all args constructor as lombok doesn't know how to create one using the all args one of the super class: I'm currently learning about class inheritance in my java course and i don't understand when to use the super() call
I found this example of code where super.variable is used When you use super() instead, python's perform the method search for the next parent class looking on the class's __mro__ attribute (mro = method resolution order __mro__ is a concrete attribute attached to each python class).
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