logaritmiskandClaude Opus 5
8d47e54a8a
`cargo publish --dry-run` packaged 48.1 MiB (8.6 MiB compressed) for a library whose source is 312 KB. All of it was examples/atp.csv, a tennis dataset the atp example reads. examples/atp.rs opens it by relative path at runtime rather than include_str!, so excluding the data still compiles and `cargo package --verify` still builds every target — the example just needs the file fetched from the repo to run. Packaged size is now 360.8 KiB / 83.1 KiB compressed, a 133x reduction. Every consumer would otherwise have paid that download. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01T5SYDExxL4vZgvunrcNSMc
79 lines
2.1 KiB
TOML
79 lines
2.1 KiB
TOML
[package]
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name = "trueskill-tt"
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version = "0.1.2"
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edition = "2024"
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rust-version = "1.85"
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description = "TrueSkill Through Time: Bayesian skill rating that tracks how skill evolves over time, via Gaussian message passing"
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repository = "https://git.aceofba.se/logaritmisk/trueskill-tt"
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authors = ["Anders Olsson"]
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# Publishing is restricted to the private kellnr registry; this also makes
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# an accidental `cargo publish` to crates.io a hard error rather than a
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# irreversible mistake. Index is declared in `.cargo/config.toml`.
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publish = ["kellnr"]
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readme = "README.md"
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keywords = ["trueskill", "rating", "bayesian", "elo", "skill"]
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categories = ["algorithms", "science", "game-development"]
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# TODO: pick a licence before publishing. `cargo publish` rejects a crate
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# without `license` (or `license-file`), and without one the source carries no
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# stated terms. The Rust convention is `license = "MIT OR Apache-2.0"` plus the
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# matching LICENSE-MIT / LICENSE-APACHE files.
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# `examples/atp.csv` is a 48 MB tennis dataset — 99% of the packaged crate,
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# for a library whose source is 312 KB. `examples/atp.rs` opens it by
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# relative path at runtime, so excluding the data still compiles; the
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# example just needs the file fetched from the repo to run.
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exclude = [
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"/docs",
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"/benches/*.txt",
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"/temp",
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"/.gitea",
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"/examples/atp.csv",
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]
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[lib]
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bench = false
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[[bench]]
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name = "batch"
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harness = false
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[[bench]]
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name = "gaussian"
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harness = false
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[[bench]]
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name = "history_converge"
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harness = false
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[[bench]]
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name = "scored"
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harness = false
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[[bench]]
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name = "ingest"
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harness = false
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[dependencies]
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approx = { version = "0.5.1", optional = true }
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rayon = { version = "1", optional = true }
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smallvec = "1"
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[features]
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approx = ["dep:approx"]
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rayon = ["dep:rayon"]
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[dev-dependencies]
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criterion = "0.5"
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plotters = { version = "0.3", default-features = false, features = ["svg_backend", "all_elements", "all_series"] }
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plotters-backend = "0.3"
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time = { version = "0.3", features = ["parsing"] }
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trueskill-tt = { path = ".", features = ["approx"] }
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[profile.release]
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debug = true
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[profile.bench]
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debug = true
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[profile.dev]
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debug = true
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