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that use either the or bindings or any binding elecustom bindings based on the bindment There is one issue to consider when using the ing with port sharing The underlying binding element used by the binding has port sharing disabled If port sharing is needed, a custom binding based on the binding can be created to set the property to true on the transport For more information, see Sharing Ports Between Services later on in this appendix

import TextUtil text = " a puzzling conundrum " text = TextUtilsimplify(text) # text == 'a puzzling conundrum'

If we want the TextUtil module to be available to a particular program, we just need to put TextUtilpy in the same directory as the program If we want TextUtilpy to be available to all our programs, there are a few approaches that can be taken One approach is to put the module in the Python distribution s site-packages subdirectory this is usually C:\Python31\Lib\site-packages on Windows, but it varies on Mac OS X and other Unixes This directory is in the Python path, so any module that is here will always be found A second approach is to create a directory speci cally for the custom modules we want to use for all our programs, and to set the PYTHONPATH environment variable to this directory A third approach is to put the module in the local site-packages subdirectory this is %APPDATA%\Python\Python31\site-packages on Windows and ~/local/lib/python31/site-packages on Unix (including Mac OS X) and is in the Python path The second and third approaches have the advantage of keeping our own code separate from the of cial installation Having the TextUtil module is all very well, but if we end up with lots of programs using it we might want to be more con dent that it works as advertised

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The binding exists so that metadata can be exposed over the HTTP transport protocol using SSL/TLS transport encryption (HTTPS) binding, the is intended to be Like the , , or used with the bindings or any custom binding based on the binding element Using the binding allows for transportlevel encryption, which prevents metadata from being exposed on the network

Any method can be overridden, that is, reimplemented, in a subclass; this is the same as Java (apart from Java s nal methods) If we have an object of class MyDict (a class that inherits dict) and we call a method that is de ned by both dict and MyDict, Python will correctly call the MyDict version this is known as dynamic method binding, also called polymorphism If we need to call the base class version of a method inside a reimplemented method we can do so by using the built-in super() function Python also supports duck typing if it walks like a duck and quacks like a duck, it is a duck In other words, if we want to call certain methods on an object, it doesn t matter what class the object is, only that it has the methods we want to call In the preceding chapter we saw that when we needed a le object we could provide one by calling the built-in open() function or by creating an ioStringIO object and providing that instead, since ioStringIO objects have the same API (Application Programming Interface), that is, the same methods, as the le objects returned by open() in text mode Inheritance is used to model is-a relationships, that is, where a class s objects are essentially the same as some other class s objects, but with some variations, such as extra data attributes and extra methods Another approach is to use aggregation (also called composition) this is where a class includes one or more instance variables that are of other classes Aggregation is used to model has-a relationships In Python, every class uses inheritance because all custom classes have object as their ultimate base class, and most classes also use aggregation since most classes have instance variables of various types.

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