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Python unit testing frameworks: Nose, Pytest
2015-02-13 Python's built-in unittest module is quite cool, but a bit limited and way too verbose (read: it's quite not easy to incite developers to write unit tests)
I'm currently looking for more dev-friendly solutions, the key points being:
- writing test code should be easy and straight-forward -keep the focus on "what to test" instead of "how to transcribe a process to a test"
- parallelization! -we, spoiled developers, should make good use of our way-too-many-cores build machines...
- complete feature set!
- we don't want to just run tests...
- coverage reports (find dead/weak/untested code sections)
- output formatting (JUnit-XML seems to be quite a common format out there)
There seem to be 3 solutions in Python:
- stock unittest + project-dependent customizations / test helpers
- nosetests
- py.test
And 2 ways of gettings things done:
- keeping things stock: no external dependency, project-specific implementation...
- using a test framework: one more module in your (test) virtualenv, more concise tests, more features (// run, code coverage, etc.)
Some links:
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nose: python testing helper
2015-01-04 Includes support for Coverage, Xunit and other cool stuff ;-) Oh, and there is parallel testing, too \o/
nosetests --with-coverage --cover-erase --cover-tests --cover-html --cover-html-dir=htmlcov --with-xunit --xunit-file=unit.xml
via http://www.alexconrad.org/2011/10/jenkins-and-python.html
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