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Python 3 Object Oriented Programming

You're reading from  Python 3 Object Oriented Programming

Product type Book
Published in Jul 2010
Publisher Packt
ISBN-13 9781849511261
Pages 404 pages
Edition 1st Edition
Languages
Author (1):
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips
Toc

Table of Contents (18) Chapters close

Python 3 Object Oriented Programming
Credits
About the Author
About the Reviewers
Preface
1. Object-oriented Design 2. Objects in Python 3. When Objects are Alike 4. Expecting the Unexpected 5. When to Use Object-oriented Programming 6. Python Data Structures 7. Python Object-oriented Shortcuts 8. Python Design Patterns I 9. Python Design Patterns II 10. Files and Strings 11. Testing Object-oriented Programs 12. Common Python 3 Libraries Index

Decorator pattern


The decorator pattern allows us to "wrap" an object that provides core functionality with other objects that alter that functionality. Any object that uses the decorated object will interact with it in exactly the same way as if it were undecorated (that is, the interface of the decorated object is identical to the core object).

There are two primary uses of the decorator pattern:

  • Enhancing the response of a component that is sending data to a second component

  • Supporting multiple optional behaviors

The second option is often a suitable alternative to multiple inheritance. We can construct a core object, and then create a decorator around that core. Since the decorator object has the same interface as the core object, we can even wrap the new object in other decorators. Here's how it looks in UML:

Here, Core, and all the decorators implement a specific Interface. The decorators maintain a reference to another instance of that Interface, via composition. When called, the decorator...

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