Скачать или смотреть Your Python code is almost entirely untested

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Property-based testing is an alternative to example-based testing where tests verify that properties of the output are satisfied given randomly generated input. This randomized approach allows us to more thoroughly test against a broad range of input and can detect hard-to-find bugs better than example-based testing.

In this video, we discuss the motivation behind property-based testing. We continue by exploring the Hypothesis package, a Python package that makes data generation and property testing easy. Finally, we show an end-to-end example property-based unit test and provide some parting recommendations for applying property testing to your own code.

Hypothesis Documentation: https://hypothesis.readthedocs.io/en/...
Hypothesis Ghostwriter (for some broadly useful examples of property tests): https://hypothesis.readthedocs.io/en/...

#python #unittest