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Multiple Inheritance: “Mix-in” Classes
Many class-based designs call for combining disparate sets of methods. In a class statement, more than one superclass can be listed in parentheses in the header line. When you do this, you use something called multiple inheritance—the class and its instances inherit names from all the listed superclasses.
When searching for an attribute, Python’s inheritance search traverses all superclasses in the class header from left to right until a match is found. Technically, because any of the superclasses may have superclasses of its own, this search can be a bit more complex for larger class tress:
In either model, though, when a class has multiple superclasses, they are searched from left to right according to the order listed in the class statement header lines.
In general, multiple inheritance is good for modeling objects that belong to more than one set. For instance, a person may be an engineer, a writer, a musician, and so on, and inherit properties from all such sets. With multiple inheritance, objects obtain the union of the behavior in all their superclasses.
Perhaps the most common way multiple inheritance is used is to “mix in” general-purpose methods from superclasses. Such superclasses are usually called mix-in classes—they provide methods you add to application classes by inheritance. In a sense, mix-in classes are similar to modules: they provide packages of methods for use in their client subclasses. Unlike simple functions in modules, though, methods in mix-ins also have access to the self instance, for using state information and other methods. The next section demonstrates one common use case for such tools.
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