Unravelling the interplay between hydrogen and grain boundary of α-Fe under different concentration and strain rate via neural network interatomic potential

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They are a safety net - it means that you can refactor the code (e.g. split or merge classes or functions) and tests still pass. If you can’t refactor anything without breaking the tests, something is not right.

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hidden in the idea of derivatives is that the next state is not just a number, but an actual regex, which contains all the information to create the next one. this is a mechanism to encode arbitrary information in the state, and use it to implement lookarounds. the lookarounds that we support are a bit limited compared to backtracking engines, but they are still very powerful and useful in practice, and more importantly, they come with the same performance guarantees as everything else.

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