| // To run: |
| // |
| // cargo criterion --features criterion/real_blackbox |
| // |
| // This benchmarks each of the different libraries at several ratios of ASCII to |
| // non-ASCII content. There is one additional benchmark labeled "baseline" which |
| // just iterates over characters in a string, converting UTF-8 to 32-bit chars. |
| // |
| // Criterion will show a time in milliseconds. The non-baseline bench functions |
| // each make one million function calls (2 calls per character, 500K characters |
| // in the strings created by gen_string). The "time per call" listed in our |
| // readme is computed by subtracting this baseline from the other bench |
| // functions' time, then dividing by one million (ms -> ns). |
| |
| #![allow(clippy::needless_pass_by_value)] |
| |
| #[path = "../tests/fst/mod.rs"] |
| mod fst; |
| #[path = "../tests/roaring/mod.rs"] |
| mod roaring; |
| #[path = "../tests/trie/mod.rs"] |
| mod trie; |
| |
| use criterion::{black_box, criterion_group, criterion_main, Criterion}; |
| use rand::distributions::{Bernoulli, Distribution, Uniform}; |
| use rand::rngs::SmallRng; |
| use rand::SeedableRng; |
| use std::time::Duration; |
| |
| fn gen_string(p_nonascii: u32) -> String { |
| let mut rng = SmallRng::from_seed([b'!'; 32]); |
| let pick_nonascii = Bernoulli::from_ratio(p_nonascii, 100).unwrap(); |
| let ascii = Uniform::new_inclusive('\0', '\x7f'); |
| let nonascii = Uniform::new_inclusive(0x80 as char, char::MAX); |
| |
| let mut string = String::new(); |
| for _ in 0..500_000 { |
| let distribution = if pick_nonascii.sample(&mut rng) { |
| nonascii |
| } else { |
| ascii |
| }; |
| string.push(distribution.sample(&mut rng)); |
| } |
| |
| string |
| } |
| |
| fn bench(c: &mut Criterion, group_name: &str, string: String) { |
| let mut group = c.benchmark_group(group_name); |
| group.measurement_time(Duration::from_secs(10)); |
| group.bench_function("baseline", |b| { |
| b.iter(|| { |
| for ch in string.chars() { |
| black_box(ch); |
| } |
| }); |
| }); |
| group.bench_function("unicode-ident", |b| { |
| b.iter(|| { |
| for ch in string.chars() { |
| black_box(unicode_ident::is_xid_start(ch)); |
| black_box(unicode_ident::is_xid_continue(ch)); |
| } |
| }); |
| }); |
| group.bench_function("unicode-xid", |b| { |
| b.iter(|| { |
| for ch in string.chars() { |
| black_box(unicode_xid::UnicodeXID::is_xid_start(ch)); |
| black_box(unicode_xid::UnicodeXID::is_xid_continue(ch)); |
| } |
| }); |
| }); |
| group.bench_function("ucd-trie", |b| { |
| b.iter(|| { |
| for ch in string.chars() { |
| black_box(trie::XID_START.contains_char(ch)); |
| black_box(trie::XID_CONTINUE.contains_char(ch)); |
| } |
| }); |
| }); |
| group.bench_function("fst", |b| { |
| let xid_start_fst = fst::xid_start_fst(); |
| let xid_continue_fst = fst::xid_continue_fst(); |
| b.iter(|| { |
| for ch in string.chars() { |
| let ch_bytes = (ch as u32).to_be_bytes(); |
| black_box(xid_start_fst.contains(ch_bytes)); |
| black_box(xid_continue_fst.contains(ch_bytes)); |
| } |
| }); |
| }); |
| group.bench_function("roaring", |b| { |
| let xid_start_bitmap = roaring::xid_start_bitmap(); |
| let xid_continue_bitmap = roaring::xid_continue_bitmap(); |
| b.iter(|| { |
| for ch in string.chars() { |
| black_box(xid_start_bitmap.contains(ch as u32)); |
| black_box(xid_continue_bitmap.contains(ch as u32)); |
| } |
| }); |
| }); |
| group.finish(); |
| } |
| |
| fn bench0(c: &mut Criterion) { |
| bench(c, "0%-nonascii", gen_string(0)); |
| } |
| |
| fn bench1(c: &mut Criterion) { |
| bench(c, "1%-nonascii", gen_string(1)); |
| } |
| |
| fn bench10(c: &mut Criterion) { |
| bench(c, "10%-nonascii", gen_string(10)); |
| } |
| |
| fn bench100(c: &mut Criterion) { |
| bench(c, "100%-nonascii", gen_string(100)); |
| } |
| |
| criterion_group!(benches, bench0, bench1, bench10, bench100); |
| criterion_main!(benches); |