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Python 3 Object-Oriented Programming - Second Edition

You're reading from  Python 3 Object-Oriented Programming - Second Edition

Product type Book
Published in Aug 2015
Publisher Packt
ISBN-13 9781784398781
Pages 460 pages
Edition 1st Edition
Languages
Author (1):
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips

Table of Contents (21) Chapters

Python 3 Object-oriented Programming Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Introduction to the second edition
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. Strings and Serialization 9. The Iterator Pattern 10. Python Design Patterns I 11. Python Design Patterns II 12. Testing Object-oriented Programs 13. Concurrency Index

The decorator pattern


The decorator pattern allows us to "wrap" an object that provides core functionality with other objects that alter this 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 that of the core object).

There are two primary uses of the decorator pattern:

  • Enhancing the response of a component as it sends 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,...

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