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Test Driven Python Development

You're reading from   Test Driven Python Development Develop high-quality and maintainable Python applications using the principles of test-driven development

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781783987924
Length 264 pages
Edition 1st Edition
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Author (1):
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Siddharta Govindaraj Siddharta Govindaraj
Author Profile Icon Siddharta Govindaraj
Siddharta Govindaraj
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Test-Driven Development FREE CHAPTER 2. Red-Green-Refactor – The TDD Cycle 3. Code Smells and Refactoring 4. Using Mock Objects to Test Interactions 5. Working with Legacy Code 6. Maintaining Your Test Suite 7. Executable Documentation with doctest 8. Extending unittest with nose2 9. Unit Testing Patterns 10. Tools to Improve Test-Driven Development A. Answers to Exercises B. Working with Older Python Versions Index

Package-level doctests


As we have seen so far, doctests can be written for methods, classes, and modules. However, they can also be written for whole packages. Typically, these would be put in the __init__.py file of the package and would show how the package as a whole should work, including multiple interacting classes. Here is one such set of doctests from our __init__.py file:

r"""
The stock_alerter module allows you to set up rules and get alerted when those rules are met.

>>> from datetime import datetime

First, we need to setup an exchange that contains all the stocks that are going to be processed. A simple dictionary will do.

>>> from stock_alerter.stock import Stock
>>> exchange = {"GOOG": Stock("GOOG"), "AAPL": Stock("AAPL")}

Next, we configure the reader. The reader is the source from where the stock updates are coming. The module provides two readers out of the box: A FileReader for reading updates from a comma separated file, and a ListReader to...
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