012e6f7df5
cargo-makepad, makepad-builder (with an Android step on every OS), CI tools and tiles, and the remaining libraries. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
38 lines
1.9 KiB
Rust
38 lines
1.9 KiB
Rust
//! The library over a whole preset pack, run only when `MILKDROP_CORPUS`
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//! names a directory of `.milk` files (a downloaded pack). Prints the index
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//! size, category counts, cold and warm walk times and search latency.
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use makepad_milkdrop::library::{scan_cached, Filter, UserPresets};
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use std::path::PathBuf;
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use std::time::Instant;
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#[test]
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fn library_over_the_corpus() {
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let Some(root) = std::env::var_os("MILKDROP_CORPUS").map(PathBuf::from) else { return };
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let cache = std::env::temp_dir().join(format!("milkdrop-library-corpus-{}.txt", std::process::id()));
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let _ = std::fs::remove_file(&cache);
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let (lib, cold) = scan_cached(&root, Some(&cache)).expect("the corpus directory");
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let (again, warm) = scan_cached(&root, Some(&cache)).unwrap();
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assert_eq!(lib.entries, again.entries);
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assert_eq!(warm.read, 0);
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let (md1, md2, shaders) = lib.counts();
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println!("presets {} (MD1 {md1}, MD2 {md2}, with shaders {shaders})", lib.entries.len());
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println!("walk cold {} ms ({} read), warm {} ms ({} reused)", cold.millis, cold.read, warm.millis, warm.reused);
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for node in lib.tree() {
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println!(" {:<14} {:>5} ({} subcategories)", node.name, node.count, node.subcategories.len());
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}
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let with_authors = lib.entries.iter().filter(|e| !e.authors.is_empty()).count();
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println!("names with authors: {with_authors}");
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let user = UserPresets::default();
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for query in ["flexi", "geiss tunnel", "martin", "x", "suksma nz"] {
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let filter = Filter { query: query.into(), ..Filter::default() };
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let started = Instant::now();
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let mut hits = 0;
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const RUNS: u32 = 20;
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for _ in 0..RUNS {
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hits = lib.filter(&filter, &user).len();
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}
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println!("search {query:?}: {hits} hits, {:.3} ms", started.elapsed().as_secs_f64() * 1000.0 / RUNS as f64);
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}
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let _ = std::fs::remove_file(&cache);
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}
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