HYPOFUZZ

Because HypoFuzz is designed to run for hours or days - unlike Hypothesis' sub-second budget for unit tests - we can use cutting-edge fuzzing techniques and coverage instrumentation to find even the rarest inputs which trigger an error. Find bugs with continuous fuzzing, so you can keep CI fast and focussed on regressions... Property-based tests fit cleanly into any Python test suite - while being faster to write, better at finding bugs, and giving clearer design feedback than traditional example-based unit tests. That's why everyone serious about testing Python code uses Hypothesis - from companies like Google and Amazon, to open source projects like Numpy or dateutil, to high-school students and professors of astrophysics... Instead of running a fixed number of examples for each test and then stopping, we can interleave examples for multiple tests, and dynamically prioritise those which are finding new behaviour or bugs. We're not just spending compute time instead of engineer-..