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Expert Python Programming

You're reading from   Expert Python Programming Write professional, efficient and maintainable code in Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886850
Length 536 pages
Edition 2nd Edition
Languages
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Author (1):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
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Toc

Table of Contents (16) Chapters Close

Preface 1. Current Status of Python FREE CHAPTER 2. Syntax Best Practices – below the Class Level 3. Syntax Best Practices – above the Class Level 4. Choosing Good Names 5. Writing a Package 6. Deploying Code 7. Python Extensions in Other Languages 8. Managing Code 9. Documenting Your Project 10. Test-Driven Development 11. Optimization – General Principles and Profiling Techniques 12. Optimization – Some Powerful Techniques 13. Concurrency 14. Useful Design Patterns Index

Subclassing built-in types


Subclassing built-in types in Python is pretty straightforward. A built-in type called object is a common ancestor for all built-in types as well as all user-defined classes that have no explicit parent class specified. Thanks to this, every time a class that behaves almost like one of the built-in types needs to be implemented, the best practice is to subtype it.

Now, we will show you the code for a class called distinctdict, which uses this technique. It is a subclass of the usual Python dict type. This new class behaves in most ways like an ordinary Python dict. But instead of allowing multiple keys with the same value, when someone tries to add a new entry with an identical value, it raises a ValueError subclass with a help message:

class DistinctError(ValueError):
    """Raised when duplicate value is added to a distinctdict."""

class distinctdict(dict):
    """Dictionary that does not accept duplicate values."""
    def __setitem__(self, key, value):
   ...
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