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-rw-r--r--third_party/rust/itertools/benches/bench1.rs877
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diff --git a/third_party/rust/itertools/benches/bench1.rs b/third_party/rust/itertools/benches/bench1.rs
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+++ b/third_party/rust/itertools/benches/bench1.rs
@@ -0,0 +1,877 @@
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+use itertools::Itertools;
+use itertools::free::cloned;
+use itertools::iproduct;
+
+use std::iter::repeat;
+use std::cmp;
+use std::ops::{Add, Range};
+
+mod extra;
+
+use crate::extra::ZipSlices;
+
+fn slice_iter(c: &mut Criterion) {
+ let xs: Vec<_> = repeat(1i32).take(20).collect();
+
+ c.bench_function("slice iter", move |b| {
+ b.iter(|| for elt in xs.iter() {
+ black_box(elt);
+ })
+ });
+}
+
+fn slice_iter_rev(c: &mut Criterion) {
+ let xs: Vec<_> = repeat(1i32).take(20).collect();
+
+ c.bench_function("slice iter rev", move |b| {
+ b.iter(|| for elt in xs.iter().rev() {
+ black_box(elt);
+ })
+ });
+}
+
+fn zip_default_zip(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zip default zip", move |b| {
+ b.iter(|| {
+ for (&x, &y) in xs.iter().zip(&ys) {
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zipdot_i32_default_zip(c: &mut Criterion) {
+ let xs = vec![2; 1024];
+ let ys = vec![2; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot i32 default zip", move |b| {
+ b.iter(|| {
+ let mut s = 0;
+ for (&x, &y) in xs.iter().zip(&ys) {
+ s += x * y;
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_default_zip(c: &mut Criterion) {
+ let xs = vec![2f32; 1024];
+ let ys = vec![2f32; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 default zip", move |b| {
+ b.iter(|| {
+ let mut s = 0.;
+ for (&x, &y) in xs.iter().zip(&ys) {
+ s += x * y;
+ }
+ s
+ })
+ });
+}
+
+fn zip_default_zip3(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let zs = vec![0; 766];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+ let zs = black_box(zs);
+
+ c.bench_function("zip default zip3", move |b| {
+ b.iter(|| {
+ for ((&x, &y), &z) in xs.iter().zip(&ys).zip(&zs) {
+ black_box(x);
+ black_box(y);
+ black_box(z);
+ }
+ })
+ });
+}
+
+fn zip_slices_ziptuple(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+
+ c.bench_function("zip slices ziptuple", move |b| {
+ b.iter(|| {
+ let xs = black_box(&xs);
+ let ys = black_box(&ys);
+ for (&x, &y) in itertools::multizip((xs, ys)) {
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zipslices(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipslices", move |b| {
+ b.iter(|| {
+ for (&x, &y) in ZipSlices::new(&xs, &ys) {
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zipslices_mut(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let mut ys = black_box(ys);
+
+ c.bench_function("zipslices mut", move |b| {
+ b.iter(|| {
+ for (&x, &mut y) in ZipSlices::from_slices(&xs[..], &mut ys[..]) {
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zipdot_i32_zipslices(c: &mut Criterion) {
+ let xs = vec![2; 1024];
+ let ys = vec![2; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot i32 zipslices", move |b| {
+ b.iter(|| {
+ let mut s = 0i32;
+ for (&x, &y) in ZipSlices::new(&xs, &ys) {
+ s += x * y;
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_zipslices(c: &mut Criterion) {
+ let xs = vec![2f32; 1024];
+ let ys = vec![2f32; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 zipslices", move |b| {
+ b.iter(|| {
+ let mut s = 0.;
+ for (&x, &y) in ZipSlices::new(&xs, &ys) {
+ s += x * y;
+ }
+ s
+ })
+ });
+}
+
+fn zip_checked_counted_loop(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zip checked counted loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let xs = &xs[..len];
+ let ys = &ys[..len];
+
+ for i in 0..len {
+ let x = xs[i];
+ let y = ys[i];
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zipdot_i32_checked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2; 1024];
+ let ys = vec![2; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot i32 checked counted loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let xs = &xs[..len];
+ let ys = &ys[..len];
+
+ let mut s = 0i32;
+
+ for i in 0..len {
+ s += xs[i] * ys[i];
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_checked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2f32; 1024];
+ let ys = vec![2f32; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 checked counted loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let xs = &xs[..len];
+ let ys = &ys[..len];
+
+ let mut s = 0.;
+
+ for i in 0..len {
+ s += xs[i] * ys[i];
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_checked_counted_unrolled_loop(c: &mut Criterion) {
+ let xs = vec![2f32; 1024];
+ let ys = vec![2f32; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 checked counted unrolled loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let mut xs = &xs[..len];
+ let mut ys = &ys[..len];
+
+ let mut s = 0.;
+ let (mut p0, mut p1, mut p2, mut p3, mut p4, mut p5, mut p6, mut p7) =
+ (0., 0., 0., 0., 0., 0., 0., 0.);
+
+ // how to unroll and have bounds checks eliminated (by cristicbz)
+ // split sum into eight parts to enable vectorization (by bluss)
+ while xs.len() >= 8 {
+ p0 += xs[0] * ys[0];
+ p1 += xs[1] * ys[1];
+ p2 += xs[2] * ys[2];
+ p3 += xs[3] * ys[3];
+ p4 += xs[4] * ys[4];
+ p5 += xs[5] * ys[5];
+ p6 += xs[6] * ys[6];
+ p7 += xs[7] * ys[7];
+
+ xs = &xs[8..];
+ ys = &ys[8..];
+ }
+ s += p0 + p4;
+ s += p1 + p5;
+ s += p2 + p6;
+ s += p3 + p7;
+
+ for i in 0..xs.len() {
+ s += xs[i] * ys[i];
+ }
+ s
+ })
+ });
+}
+
+fn zip_unchecked_counted_loop(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zip unchecked counted loop", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), ys.len());
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ black_box(x);
+ black_box(y);
+ }
+ }
+ })
+ });
+}
+
+fn zipdot_i32_unchecked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2; 1024];
+ let ys = vec![2; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot i32 unchecked counted loop", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), ys.len());
+ let mut s = 0i32;
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ s += x * y;
+ }
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_unchecked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2.; 1024];
+ let ys = vec![2.; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 unchecked counted loop", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), ys.len());
+ let mut s = 0f32;
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ s += x * y;
+ }
+ }
+ s
+ })
+ });
+}
+
+fn zip_unchecked_counted_loop3(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let zs = vec![0; 766];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+ let zs = black_box(zs);
+
+ c.bench_function("zip unchecked counted loop3", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), cmp::min(ys.len(), zs.len()));
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ let z = *zs.get_unchecked(i);
+ black_box(x);
+ black_box(y);
+ black_box(z);
+ }
+ }
+ })
+ });
+}
+
+fn group_by_lazy_1(c: &mut Criterion) {
+ let mut data = vec![0; 1024];
+ for (index, elt) in data.iter_mut().enumerate() {
+ *elt = index / 10;
+ }
+
+ let data = black_box(data);
+
+ c.bench_function("group by lazy 1", move |b| {
+ b.iter(|| {
+ for (_key, group) in &data.iter().group_by(|elt| **elt) {
+ for elt in group {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn group_by_lazy_2(c: &mut Criterion) {
+ let mut data = vec![0; 1024];
+ for (index, elt) in data.iter_mut().enumerate() {
+ *elt = index / 2;
+ }
+
+ let data = black_box(data);
+
+ c.bench_function("group by lazy 2", move |b| {
+ b.iter(|| {
+ for (_key, group) in &data.iter().group_by(|elt| **elt) {
+ for elt in group {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn slice_chunks(c: &mut Criterion) {
+ let data = vec![0; 1024];
+
+ let data = black_box(data);
+ let sz = black_box(10);
+
+ c.bench_function("slice chunks", move |b| {
+ b.iter(|| {
+ for group in data.chunks(sz) {
+ for elt in group {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn chunks_lazy_1(c: &mut Criterion) {
+ let data = vec![0; 1024];
+
+ let data = black_box(data);
+ let sz = black_box(10);
+
+ c.bench_function("chunks lazy 1", move |b| {
+ b.iter(|| {
+ for group in &data.iter().chunks(sz) {
+ for elt in group {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn equal(c: &mut Criterion) {
+ let data = vec![7; 1024];
+ let l = data.len();
+ let alpha = black_box(&data[1..]);
+ let beta = black_box(&data[..l - 1]);
+
+ c.bench_function("equal", move |b| {
+ b.iter(|| {
+ itertools::equal(alpha, beta)
+ })
+ });
+}
+
+fn merge_default(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+
+ c.bench_function("merge default", move |b| {
+ b.iter(|| {
+ data1.iter().merge(&data2).count()
+ })
+ });
+}
+
+fn merge_by_cmp(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+
+ c.bench_function("merge by cmp", move |b| {
+ b.iter(|| {
+ data1.iter().merge_by(&data2, PartialOrd::le).count()
+ })
+ });
+}
+
+fn merge_by_lt(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+
+ c.bench_function("merge by lt", move |b| {
+ b.iter(|| {
+ data1.iter().merge_by(&data2, |a, b| a <= b).count()
+ })
+ });
+}
+
+fn kmerge_default(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+ let its = &[data1.iter(), data2.iter()];
+
+ c.bench_function("kmerge default", move |b| {
+ b.iter(|| {
+ its.iter().cloned().kmerge().count()
+ })
+ });
+}
+
+fn kmerge_tenway(c: &mut Criterion) {
+ let mut data = vec![0; 10240];
+
+ let mut state = 1729u16;
+ fn rng(state: &mut u16) -> u16 {
+ let new = state.wrapping_mul(31421) + 6927;
+ *state = new;
+ new
+ }
+
+ for elt in &mut data {
+ *elt = rng(&mut state);
+ }
+
+ let mut chunks = Vec::new();
+ let mut rest = &mut data[..];
+ while rest.len() > 0 {
+ let chunk_len = 1 + rng(&mut state) % 512;
+ let chunk_len = cmp::min(rest.len(), chunk_len as usize);
+ let (fst, tail) = {rest}.split_at_mut(chunk_len);
+ fst.sort();
+ chunks.push(fst.iter().cloned());
+ rest = tail;
+ }
+
+ // println!("Chunk lengths: {}", chunks.iter().format_with(", ", |elt, f| f(&elt.len())));
+
+ c.bench_function("kmerge tenway", move |b| {
+ b.iter(|| {
+ chunks.iter().cloned().kmerge().count()
+ })
+ });
+}
+
+fn fast_integer_sum<I>(iter: I) -> I::Item
+ where I: IntoIterator,
+ I::Item: Default + Add<Output=I::Item>
+{
+ iter.into_iter().fold(<_>::default(), |x, y| x + y)
+}
+
+fn step_vec_2(c: &mut Criterion) {
+ let v = vec![0; 1024];
+
+ c.bench_function("step vec 2", move |b| {
+ b.iter(|| {
+ fast_integer_sum(cloned(v.iter().step_by(2)))
+ })
+ });
+}
+
+fn step_vec_10(c: &mut Criterion) {
+ let v = vec![0; 1024];
+
+ c.bench_function("step vec 10", move |b| {
+ b.iter(|| {
+ fast_integer_sum(cloned(v.iter().step_by(10)))
+ })
+ });
+}
+
+fn step_range_2(c: &mut Criterion) {
+ let v = black_box(0..1024);
+
+ c.bench_function("step range 2", move |b| {
+ b.iter(|| {
+ fast_integer_sum(v.clone().step_by(2))
+ })
+ });
+}
+
+fn step_range_10(c: &mut Criterion) {
+ let v = black_box(0..1024);
+
+ c.bench_function("step range 10", move |b| {
+ b.iter(|| {
+ fast_integer_sum(v.clone().step_by(10))
+ })
+ });
+}
+
+fn cartesian_product_iterator(c: &mut Criterion) {
+ let xs = vec![0; 16];
+
+ c.bench_function("cartesian product iterator", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ for (&x, &y, &z) in iproduct!(&xs, &xs, &xs) {
+ sum += x;
+ sum += y;
+ sum += z;
+ }
+ sum
+ })
+ });
+}
+
+fn cartesian_product_fold(c: &mut Criterion) {
+ let xs = vec![0; 16];
+
+ c.bench_function("cartesian product fold", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ iproduct!(&xs, &xs, &xs).fold((), |(), (&x, &y, &z)| {
+ sum += x;
+ sum += y;
+ sum += z;
+ });
+ sum
+ })
+ });
+}
+
+fn multi_cartesian_product_iterator(c: &mut Criterion) {
+ let xs = [vec![0; 16], vec![0; 16], vec![0; 16]];
+
+ c.bench_function("multi cartesian product iterator", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ for x in xs.iter().multi_cartesian_product() {
+ sum += x[0];
+ sum += x[1];
+ sum += x[2];
+ }
+ sum
+ })
+ });
+}
+
+fn multi_cartesian_product_fold(c: &mut Criterion) {
+ let xs = [vec![0; 16], vec![0; 16], vec![0; 16]];
+
+ c.bench_function("multi cartesian product fold", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ xs.iter().multi_cartesian_product().fold((), |(), x| {
+ sum += x[0];
+ sum += x[1];
+ sum += x[2];
+ });
+ sum
+ })
+ });
+}
+
+fn cartesian_product_nested_for(c: &mut Criterion) {
+ let xs = vec![0; 16];
+
+ c.bench_function("cartesian product nested for", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ for &x in &xs {
+ for &y in &xs {
+ for &z in &xs {
+ sum += x;
+ sum += y;
+ sum += z;
+ }
+ }
+ }
+ sum
+ })
+ });
+}
+
+fn all_equal(c: &mut Criterion) {
+ let mut xs = vec![0; 5_000_000];
+ xs.extend(vec![1; 5_000_000]);
+
+ c.bench_function("all equal", move |b| {
+ b.iter(|| xs.iter().all_equal())
+ });
+}
+
+fn all_equal_for(c: &mut Criterion) {
+ let mut xs = vec![0; 5_000_000];
+ xs.extend(vec![1; 5_000_000]);
+
+ c.bench_function("all equal for", move |b| {
+ b.iter(|| {
+ for &x in &xs {
+ if x != xs[0] {
+ return false;
+ }
+ }
+ true
+ })
+ });
+}
+
+fn all_equal_default(c: &mut Criterion) {
+ let mut xs = vec![0; 5_000_000];
+ xs.extend(vec![1; 5_000_000]);
+
+ c.bench_function("all equal default", move |b| {
+ b.iter(|| xs.iter().dedup().nth(1).is_none())
+ });
+}
+
+const PERM_COUNT: usize = 6;
+
+fn permutations_iter(c: &mut Criterion) {
+ struct NewIterator(Range<usize>);
+
+ impl Iterator for NewIterator {
+ type Item = usize;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.0.next()
+ }
+ }
+
+ c.bench_function("permutations iter", move |b| {
+ b.iter(|| {
+ for _ in NewIterator(0..PERM_COUNT).permutations(PERM_COUNT) {
+
+ }
+ })
+ });
+}
+
+fn permutations_range(c: &mut Criterion) {
+ c.bench_function("permutations range", move |b| {
+ b.iter(|| {
+ for _ in (0..PERM_COUNT).permutations(PERM_COUNT) {
+
+ }
+ })
+ });
+}
+
+fn permutations_slice(c: &mut Criterion) {
+ let v = (0..PERM_COUNT).collect_vec();
+
+ c.bench_function("permutations slice", move |b| {
+ b.iter(|| {
+ for _ in v.as_slice().iter().permutations(PERM_COUNT) {
+
+ }
+ })
+ });
+}
+
+criterion_group!(
+ benches,
+ slice_iter,
+ slice_iter_rev,
+ zip_default_zip,
+ zipdot_i32_default_zip,
+ zipdot_f32_default_zip,
+ zip_default_zip3,
+ zip_slices_ziptuple,
+ zipslices,
+ zipslices_mut,
+ zipdot_i32_zipslices,
+ zipdot_f32_zipslices,
+ zip_checked_counted_loop,
+ zipdot_i32_checked_counted_loop,
+ zipdot_f32_checked_counted_loop,
+ zipdot_f32_checked_counted_unrolled_loop,
+ zip_unchecked_counted_loop,
+ zipdot_i32_unchecked_counted_loop,
+ zipdot_f32_unchecked_counted_loop,
+ zip_unchecked_counted_loop3,
+ group_by_lazy_1,
+ group_by_lazy_2,
+ slice_chunks,
+ chunks_lazy_1,
+ equal,
+ merge_default,
+ merge_by_cmp,
+ merge_by_lt,
+ kmerge_default,
+ kmerge_tenway,
+ step_vec_2,
+ step_vec_10,
+ step_range_2,
+ step_range_10,
+ cartesian_product_iterator,
+ cartesian_product_fold,
+ multi_cartesian_product_iterator,
+ multi_cartesian_product_fold,
+ cartesian_product_nested_for,
+ all_equal,
+ all_equal_for,
+ all_equal_default,
+ permutations_iter,
+ permutations_range,
+ permutations_slice,
+);
+criterion_main!(benches);
generated by cgit v1.2.3 (git 2.39.1) at 2024-12-27 05:33:33 +0000