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In this example, FooProxy is functionally identical to Foo It implements the same methods, and it even uses Foo underneath the coversYet, in the type system, FooProxy is different than Foo For example:

public Simple1() // Construct, build GUI { // Create a panel myPanel = new JPanel(); // Create the buttons button1 = new JButton("Button 1"); // Create buttons button2 = new JButton("Button 2"); SimpleListener ourListener = new SimpleListener(); // Set action listener for both buttons to share button1addActionListener(ourListener); button2addActionListener(ourListener); myPaneladd(button1); myPaneladd(button2); } private class SimpleListener implements ActionListener { /* * We will use a simple inner class to implement an * ActionListener to use to get the button events We * could have instead used the Simple1 class itself to * implement ActionListener instead, but this way is * more consistent with the other examples */ public void actionPerformed(ActionEvent e) { // We will use getActionCommand to get the button // name, but we could use getSource() instead and // the if tests would then be like: // if (egetSource() == button1) etc String buttonName = egetActionCommand();

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If a program has been written to explicitly check for a Foo using isinstance(), then it certainly won t work with a FooProxy object However, this degree of strictness is often not exactly what you want Instead, it might make more sense to assert that an object can simply be used as Foo because it has the same interfaceTo do this, it is possible to define an object that redefines the behavior of isinstance() and issubclass() for the purpose of grouping objects together and type-checking Here is an example:

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class IClass(object): def _ _init_ _(self): selfimplementors = set() def register(self,C): selfimplementorsadd(C) def _ _instancecheck_ _(self,x): return self_ _subclasscheck_ _(type(x))

def _ _subclasscheck_ _(self,sub): return any(c in selfimplementors for c in submro()) # Now, use the above object IFoo = IClass() IFooregister(Foo) IFooregister(FooProxy)

In this example, the class IClass creates an object that merely groups a collection of other classes together in a setThe register() method adds a new class to the setThe special method _ _instancecheck_ _() is called if anyone performs the operation isinstance(x, IClass)The special method _ _subclasscheck_ _() is called if the operation issubclass(C,IClass) is called By using the IFoo object and registered implementers, one can now perform type checks such as the following:

For example, in the identifier of the book that a customer wishes to purchase is included as a parameter to the request The following code fragment illustrates how to use the method to extract the identifier:

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f = Foo() # Create g = FooProxy(f) # Create isinstance(f, IFoo) # isinstance(g, IFoo) # issubclass(FooProxy, IFoo) # a Foo a FooProxy Returns True Returns True Returns True

In this example, it s important to emphasize that no strong type-checking is occurring The IFoo object has overloaded the instance checking operations in a way that allows a you to assert that a class belongs to a group It doesn t assert any information on the actual programming interface, and no other verification actually occurs In fact, you can simply register any collection of objects you want to group together without regard to how those classes are related to each otherTypically, the grouping of classes is based on some criteria such as all classes implementing the same programming interface However, no such meaning should be inferred when overloading _ _instancecheck_ _() or _ _subclasscheck_ _()The actual interpretation is left up to the application Python provides a more formal mechanism for grouping objects, defining interfaces, and type-checkingThis is done by defining an abstract base class, which is defined in the next section

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