· the python attribute retrieval mechanism works in a way that a class getattr is called as last resource to try to get an attribute for an instance of that class. In the child template, i would like to include everything that was in the head block from the base (by calling {{ super()) }} and include some additional things, yet at the same time replace the … · the one without super hard-codes its parents method - thus is has restricted the behavior of its method, and subclasses cannot inject functionality in the call chain. But the main advantage comes with multiple inheritance, where all sorts of fun stuff can happen. I suspect it could be related to compatibility … In fact, multiple inheritance is the only case where super() is of any use. · super() lets you avoid referring to the base class explicitly, which can be nice. For now, i only see it as a hack, but it was worth mentioning, if only for the differences … The second () says that its some type which is a subclass of e. · super() is a special use of the super keyword where you call a parameterless parent constructor. · the first () says that its some type which is an ancestor (superclass) of e; · i wrote the following code. I would not recommend using it with classes using linear inheritance, where its just useless overhead. As for chaining super::super, as i mentionned in the question, i have still to find an interesting use to that. · super object has no attribute sklearn_tags. In general, the super keyword can be used to call overridden methods, … This occurs when i invoke the fit method on the randomizedsearchcv object. When i try to run it as at the end of the file i get this stacktrace: Super object has no attribute do_something class parent:
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· the python attribute retrieval mechanism works in a way that a class __getattr__ is called as last resource to try to get an attribute...
