Testing in Python
summary
Covers concrete tools and results: demos use unittest, pytest, Hypothesis and Cosmic Ray; Hypothesis generates and shrinks failing inputs from integer/text/fraction/list strategies rather than hand-picking ranges, finding obscure bugs automatically. Cosmic Ray injects AST mutations, runs tests in a sandboxed Python process, stores results in a session database and distributes work via Celery; an example run creates 56 mutants and reports a 3.57% survival rate, then reproduces a surviving mutant after removing a specific test.
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chapters (4)
- 0:00Start
- 2:34unittest Testing with the standard library
- 9:21Testing for exceptions
- 45:13Cosmic Ray Mutation testing for Python
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