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3. Recursive Merkle Trees

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and as a result of this specification, you will get a fast, reliably correct algorithm that finds them. for example, if you have a notebook full of passwords, which you want to strip out before sharing, you can write a few fragments of a regex that each describe a property of passwords (e.g., contains at least 8 characters .{8,}, at least one uppercase letter _*[A-Z]_*, at least one digit _*[0-9]_*, and at least one special symbol _*[!#$@%^*]_*). and you can toggle each one on and off to see how it affects the matches. this is a nice intuitive way to write regexes, since intersection preserves the meaning of the original patterns and simply combines them, it works exactly as you would expect!

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Each batch is rolled into a Merkle tree using SHA-512. That means recursive hashing all the way to the root; this is pure CPU-bound work.