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Mastering Python

You're reading from   Mastering Python Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785289729
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (17) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Pythonic Syntax, Common Pitfalls, and Style Guide 3. Containers and Collections – Storing Data the Right Way 4. Functional Programming – Readability Versus Brevity 5. Decorators – Enabling Code Reuse by Decorating 6. Generators and Coroutines – Infinity, One Step at a Time 7. Async IO – Multithreading without Threads 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. Multiprocessing – When a Single CPU Core Is Not Enough 14. Extensions in C/C++, System Calls, and C/C++ Libraries 15. Packaging – Creating Your Own Libraries or Applications Index

Mock objects


When writing tests, this regularly occurs: you are testing not only your own code but also the interaction with external resources, such as hardware, databases, web hosts, servers, and others. Some of these can be run safely, but certain tests are too slow, too dangerous, or even impossible to run. In those cases, mock objects are your friends; they can be used to fake anything, so you can be certain that your code still returns the expected results without having any variation from external factors.

Using unittest.mock

The unittest.mock library provides two base objects, Mock and MagicMock, to easily mock any external resources. The Mock object is just a general generic mock object and MagicMock is mostly the same, but it has all the magic methods such as __contains__ and __len__ defined. In addition to this, it can make your life even easier. This is because in addition to creating mock objects manually, it is possible to patch objects directly using the patch decorator/context...

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