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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

Writing code that is compatible across versions

Many Python modules these days are designed to run under multiple Python versions, especially supporting Python 2.x as well as Python 3.x versions. We will want to run the same tests in both versions, and to do this, we will need to write our code in such a way that the tests are compatible with both the versions.

Python's import mechanism gives us the flexibility we need to do this. At the top of the file, we import unittest like the following:

try:
   import unittest2 as unittest
except ImportError:
   import unittest

What this does is to first try and import unittest2. If we are running Python 2.x, then we should have installed this already. If it succeeds, then the module is imported and the module reference is renamed to unittest.

If we get an ImportError, then we are running Python 3.x, in which case we can import the unittest module bundled in the standard library.

Later in the code, we can just reference the unittest module and it...

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