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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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Toc

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

Integrating with packaging tools


Packaging refers to how Python packages are generally distributed to users. Unless we are writing proprietary commercial software, we will want to distribute the unit tests along with the code and allow the end user to run the tests and verify that everything is working.

Packaging tools have been one of the most confusing parts of the Python ecosystem. There have been a number of different frameworks that, at different points, have been "the right way" to do things. As this book is being written, setuptools is the recommended way to package Python modules, so let us take a look at that first.

Setuptools

Setuptools supports a test command for running the test suite. All we need to do is to configure it. We do this by specifying the test_suite parameter in setup.py as follows:

from setuptools import setup, find_packages

setup(
    name="StockAlerter",
    version="0.1",
    packages=find_packages(),
    test_suite="stock_alerter.tests",
)

When we do this, setuptools...

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