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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

Documenting our tests

When we run the tests, we get the following output:

.E
==================================================================
ERROR: test_stock_update (__main__.StockTest)
An update should set the price on the stock object
------------------------------------------------------------------
Traceback (most recent call last):
  File "stock_alerter\stock.py", line 22, in test_stock_update
    goog.update(datetime(2014, 2, 12), price=10)
AttributeError: 'Stock' object has no attribute 'update'

------------------------------------------------------------------
Ran 2 tests in 0.001s
FAILED (errors=1)

The test fails as expected, but the interesting thing is that the first line of the docstring is printed out on the fourth line. This is useful because we get some more information on which case is failing. This shows a second way of documenting out tests by using the first line for a short summary, and the rest of the docstring for a more detailed explanation...

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