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No data corruption. Let’s say that you’ve introduced a voltage value restriction in some parameter. Even though you’ve corrected all the code in your module, if you allow other modules to make direct changes to your data, they will easily ignore your restriction.
，这一点在WPS官方版本下载中也有详细论述
I remember he was Effbot because he was like Tim.
We seriously considered it. But our use case has two specific constraints.
Testing and proof are complementary. Testing, including property-based testing and fuzzing, is powerful: it catches bugs quickly, cheaply, and often in surprising ways. But testing provides confidence. Proof provides a guarantee. The difference matters, and it is hard to quantify how high the confidence from testing actually is. Software can be accompanied by proofs of its correctness, proofs that a machine checks mechanically, with no room for error. When AI makes proof cheap, it becomes the stronger path: one proof covers every possible input, every edge case, every interleaving. A verified cryptographic library is not better engineering. It is a mathematical guarantee.