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Daniel Arbuckle???s Mastering Python

You're reading from   Daniel Arbuckle???s Mastering Python Build powerful Python applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787283695
Length 274 pages
Edition 1st Edition
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Author (1):
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Daniel Arbuckle Daniel Arbuckle
Author Profile Icon Daniel Arbuckle
Daniel Arbuckle
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Table of Contents (13) Chapters Close

Preface 1. Python Primer 2. Setting Up FREE CHAPTER 3. Making a Package 4. Basic Best Practices 5. Making a Command-Line Utility 6. Parallel Processing 7. Coroutines and Asynchronous I/O 8. Metaprogramming 9. Unit Testing 10. Reactive Programming 11. Microservices 12. Extension Modules and Compiled Code

Using unittest.mock

In this section, we'll take a look at a subpackage of unit tests, called mock. The tools in the mock package help us keep our test isolated, so they aren't made to succeed or fail based on the behavior of the code, which isn't supposed to be covered by the test.

We talked about how important it is that unit tests only interact with a small section of code, but how can we arrange for this when so many pieces of code interact with objects and functions originating from all over the source tree? One answer is that we can replace those objects and functions with mock objects.

What is a mock object?

A mock object is a clever piece of code; it could pretend to be almost any kind of object or function...

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