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perf(eval): normalize by evaluation instead of substitution - #4
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Evaluate terms into a flat semantic domain of closures, neutrals and thunks, then read the value back once, instead of rebuilding the term at every beta step. Weak-head (`lazy`) and `trace` runs stay on the spine normalizer. Output is identical corpus-wide; arena allocations drop ~98% and heavy programs normalize up to ~20x faster.
Benchmark for dd169f9Click to view benchmark
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Evaluate terms into a flat semantic domain of closures, neutrals and thunks, then read the value back once, instead of rebuilding the term at every beta step. Weak-head (
lazy) andtraceruns stay on the spine normalizer. Output is identical corpus-wide; arena allocations drop ~98% and heavy programs normalize up to ~20x faster.