there’s still work to do. the biggest gaps are SIMD prefilters for non-literal patterns - the dotnet version gets a lot of mileage from vectorized character class membership tests that we don’t have yet - and the bidirectional SIMD routines needed for our right-to-left scanning. pattern-specific optimizations like start-set inference and alternation simplification are also on the list. there’s also a lot of other low-hanging fruit - we don’t have any statistical optimizations yet, the Unicode classes could be baked in instead of constructing them while parsing, the memory usage could also be improved, there are many pattern-specific shortcuts we could add, and so on. but i hope the benchmarks show that it’s already competitive and useful in its current state.
Ранее стало известно, что солдаты ВСУ из-за обилия дронов в небе начали сбивать собственные беспилотники.
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