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Multiple inheritance is a feature of some object-oriented ... Tutorial on inheritance usage in Eiffel; Tutorial on effective use of multiple inheritance in Python;
Multiple inheritance where one class can have more than one superclass and inherit features from all parent classes. "Multiple inheritance ... was widely supposed to be very difficult to implement efficiently. For example, in a summary of C++ in his book on Objective C, Brad Cox actually claimed that adding multiple inheritance to C++ was ...
C3 superclass linearization is an algorithm used primarily to obtain the order in which methods should be inherited in the presence of multiple inheritance.In other words, the output of C3 superclass linearization is a deterministic Method Resolution Order (MRO).
It provides a mechanism for multiple inheritance by allowing one class to use common functionality from multiple classes, but without the complex semantics of multiple inheritance. [7] Code reusability: Mixins are useful when a programmer wants to share functionality between different classes. Instead of repeating the same code over and over ...
Multiple inheritance is allowed in some languages, though this can make resolving overrides complicated. Some languages have special support for other concepts like traits and mixins, though, in any language with multiple inheritance, a mixin is simply a class that does not represent an is-a-type-of relationship. Mixins are typically used to ...
Naturally, inheritance, including multiple inheritance, is supported. Python has very limited support for private variables using name mangling which is rarely used in practice as information hiding is seen by some as unpythonic, in that it suggests that the class in question contains unaesthetic or ill-planned internals. The slogan "we're all ...
Other approaches include multiple inheritance and mixins, but these have drawbacks: the behavior of the code may unexpectedly change if the order in which the mixins are applied is altered, or if new methods are added to the parent classes or mixins. Traits solve these problems by allowing classes to use the trait and get the desired behavior.
The following python code establishes an explicit inheritance relationship between classes B and A, where B is both a subclass and a subtype of A, and can be used as an A wherever a B is required. class A : def do_something_a_like ( self ): pass class B ( A ): def do_something_b_like ( self ): pass def use_an_a ( some_a ): some_a . do_something ...