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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 tests closer to the domain


The other way to make tests easier to read is to write tests in terms of the domain language instead of just the generic functions provided by unittest. In this section, we look at some ways to do this.

Writing helper methods

The first technique is to write helper methods. We employed this technique earlier in this book. The following are some tests that don't use a helper method:

    def test_increasing_trend_is_false_if_price_decreases(self):
        timestamps = [datetime(2014, 2, 11), datetime(2014, 2, 12),
                      datetime(2014, 2, 13)]
        prices = [8, 12, 10]
        for timestamp, price in zip(timestamps, prices):
            self.goog.update(timestamp, price)
        self.assertFalse(self.goog.is_increasing_trend())

    def test_increasing_trend_is_false_if_price_equal(self):
        timestamps = [datetime(2014, 2, 11), datetime(2014, 2, 12),
                      datetime(2014, 2, 13)]
        prices = [8, 10, 10]
        for timestamp...
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