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Improve your Python testing even more. In my last two articles, I introduced pytest, a library for testing Python code (see "Testing Your Code with Python's pytest" Part I and Part II). pytest has ...
With the PyTest framework, you can create high-coverage unit tests, complex functional tests, and acceptance tests. Apart from being an extremely versatile framework for test automation, PyTest also ...
The pytest people agree, and they suggest the use of "parametrized tests". The idea here is that you define the test a single time, but tell pytest which inputs and outputs to provide. You can do this ...
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