Your Python code is almost entirely untested скачать в хорошем качестве

Your Python code is almost entirely untested

Sign up for 1-on-1 coaching at https://dougmercer.dev ————————————————————————————————————————— 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