72 lines
2.2 KiB
Rust
72 lines
2.2 KiB
Rust
use criterion::{criterion_group, criterion_main, Bencher, Criterion};
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use pyo3::prelude::*;
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use pyo3::types::PySet;
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use std::collections::{BTreeSet, HashSet};
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fn set_new(b: &mut Bencher<'_>) {
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Python::with_gil(|py| {
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const LEN: usize = 100_000;
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// Create Python objects up-front, so that the benchmark doesn't need to include
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// the cost of allocating LEN Python integers
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let elements: Vec<PyObject> = (0..LEN).into_iter().map(|i| i.into_py(py)).collect();
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b.iter(|| {
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let pool = unsafe { py.new_pool() };
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PySet::new(py, &elements).unwrap();
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drop(pool);
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});
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});
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}
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fn iter_set(b: &mut Bencher<'_>) {
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Python::with_gil(|py| {
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const LEN: usize = 100_000;
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let set = PySet::new(py, &(0..LEN).collect::<Vec<_>>()).unwrap();
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let mut sum = 0;
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b.iter(|| {
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for x in set.iter() {
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let i: u64 = x.extract().unwrap();
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sum += i;
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}
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});
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});
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}
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fn extract_hashset(b: &mut Bencher<'_>) {
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Python::with_gil(|py| {
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const LEN: usize = 100_000;
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let set = PySet::new(py, &(0..LEN).collect::<Vec<_>>()).unwrap();
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b.iter(|| HashSet::<u64>::extract(set));
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});
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}
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fn extract_btreeset(b: &mut Bencher<'_>) {
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Python::with_gil(|py| {
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const LEN: usize = 100_000;
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let set = PySet::new(py, &(0..LEN).collect::<Vec<_>>()).unwrap();
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b.iter(|| BTreeSet::<u64>::extract(set));
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});
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}
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#[cfg(feature = "hashbrown")]
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fn extract_hashbrown_set(b: &mut Bencher<'_>) {
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Python::with_gil(|py| {
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const LEN: usize = 100_000;
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let set = PySet::new(py, &(0..LEN).collect::<Vec<_>>()).unwrap();
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b.iter(|| hashbrown::HashSet::<u64>::extract(set));
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});
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}
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fn criterion_benchmark(c: &mut Criterion) {
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c.bench_function("set_new", set_new);
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c.bench_function("iter_set", iter_set);
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c.bench_function("extract_hashset", extract_hashset);
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c.bench_function("extract_btreeset", extract_btreeset);
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#[cfg(feature = "hashbrown")]
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c.bench_function("extract_hashbrown_set", extract_hashbrown_set);
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}
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criterion_group!(benches, criterion_benchmark);
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criterion_main!(benches);
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