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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

The State pattern

The State pattern is structurally similar to the Strategy pattern, but its intent and purpose are very different. The goal of the State pattern is to represent state transition systems: systems where an object's behavior is constrained by the state it's in, and there are narrowly defined transitions to other states.

To make this work, we need a manager or context class that provides an interface for switching states. Internally, this class contains a pointer to the current state. Each state knows what other states it is allowed to be in and will transition to those states depending on the actions invoked upon it.

Here's how it looks in UML:

Figure 11.7: State pattern in UML

The State pattern decomposes the problem into two types of classes: the Core class and multiple State classes. The Core class maintains the current state, and forwards actions to a current state object. The State objects are typically hidden from any other objects...

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