mirror of
https://github.com/LadybirdBrowser/ladybird
synced 2026-05-12 01:46:46 +02:00
d9dd412440
The std default RandomState (SipHash) was using ~9 percentage points of CPU on hash_one and write across the parse hot path, with the string interner adding another ~3 pp on top. The cost was spread across the interner, the scope collector's IndexMap<Utf16String, _>, and several parser-side HashSet<Utf16String> declarations. Use foldhash::quality::RandomState for the parser, scope collector, and string interner via a new fast_hash module. Quality keeps HashDoS resistance (keys are lexer tokens, attacker-controlled in a browser context) while shedding SipHash's per-byte cost, and on this workload it benchmarks slightly faster than foldhash::fast.
25 lines
513 B
TOML
25 lines
513 B
TOML
[package]
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name = "libjs_rust"
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version = "0.1.0"
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edition = "2024"
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[lib]
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crate-type = ["staticlib"]
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# After changing dependencies, regenerate the Flatpak sources:
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# python3 Meta/CMake/flatpak/generate-cargo-sources.py
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[dependencies]
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libunicode_rust = { path = "../../LibUnicode/Rust", default-features = false }
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num-bigint = "0.4"
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num-traits = "0.2"
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num-integer = "0.1"
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indexmap = "2"
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foldhash = "0.1"
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[build-dependencies]
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bytecode_def = { path = "../BytecodeDef" }
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cbindgen = "0.29"
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[lints]
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workspace = true
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