|
1 | 1 | use criterion::{
|
2 | 2 | black_box, criterion_group, criterion_main, AxisScale, BatchSize, Criterion,
|
3 |
| - ParameterizedBenchmark, PlotConfiguration, |
| 3 | + PlotConfiguration, |
4 | 4 | };
|
5 | 5 | use ndarray::prelude::*;
|
6 | 6 | use ndarray_stats::Sort1dExt;
|
7 | 7 | use rand::prelude::*;
|
8 | 8 |
|
9 | 9 | fn get_from_sorted_mut(c: &mut Criterion) {
|
10 | 10 | let lens = vec![10, 100, 1000, 10000];
|
11 |
| - let benchmark = ParameterizedBenchmark::new( |
12 |
| - "get_from_sorted_mut", |
13 |
| - |bencher, &len| { |
14 |
| - let mut rng = StdRng::seed_from_u64(42); |
15 |
| - let mut data: Vec<_> = (0..len).collect(); |
16 |
| - data.shuffle(&mut rng); |
17 |
| - let indices: Vec<_> = (0..len).step_by(len / 10).collect(); |
18 |
| - bencher.iter_batched( |
19 |
| - || Array1::from(data.clone()), |
20 |
| - |mut arr| { |
21 |
| - for &i in &indices { |
22 |
| - black_box(arr.get_from_sorted_mut(i)); |
23 |
| - } |
24 |
| - }, |
25 |
| - BatchSize::SmallInput, |
26 |
| - ) |
27 |
| - }, |
28 |
| - lens, |
29 |
| - ) |
30 |
| - .plot_config(PlotConfiguration::default().summary_scale(AxisScale::Logarithmic)); |
31 |
| - c.bench("get_from_sorted_mut", benchmark); |
| 11 | + let mut group = c.benchmark_group("get_from_sorted_mut"); |
| 12 | + group.plot_config( |
| 13 | + PlotConfiguration::default().summary_scale(AxisScale::Logarithmic)); |
| 14 | + for len in &lens { |
| 15 | + group.bench_with_input( |
| 16 | + format!("{}", len), |
| 17 | + len, |
| 18 | + |b, &len| { |
| 19 | + let mut rng = StdRng::seed_from_u64(42); |
| 20 | + let mut data: Vec<_> = (0..len).collect(); |
| 21 | + data.shuffle(&mut rng); |
| 22 | + let indices: Vec<_> = (0..len).step_by(len / 10).collect(); |
| 23 | + b.iter_batched( |
| 24 | + || Array1::from(data.clone()), |
| 25 | + |mut arr| { |
| 26 | + for &i in &indices { |
| 27 | + black_box(arr.get_from_sorted_mut(i)); |
| 28 | + } |
| 29 | + }, |
| 30 | + BatchSize::SmallInput, |
| 31 | + ) |
| 32 | + }); |
| 33 | + } |
| 34 | + group.finish(); |
32 | 35 | }
|
33 | 36 |
|
34 | 37 | fn get_many_from_sorted_mut(c: &mut Criterion) {
|
35 | 38 | let lens = vec![10, 100, 1000, 10000];
|
36 |
| - let benchmark = ParameterizedBenchmark::new( |
37 |
| - "get_many_from_sorted_mut", |
38 |
| - |bencher, &len| { |
39 |
| - let mut rng = StdRng::seed_from_u64(42); |
40 |
| - let mut data: Vec<_> = (0..len).collect(); |
41 |
| - data.shuffle(&mut rng); |
42 |
| - let indices: Array1<_> = (0..len).step_by(len / 10).collect(); |
43 |
| - bencher.iter_batched( |
44 |
| - || Array1::from(data.clone()), |
45 |
| - |mut arr| { |
46 |
| - black_box(arr.get_many_from_sorted_mut(&indices)); |
47 |
| - }, |
48 |
| - BatchSize::SmallInput, |
49 |
| - ) |
50 |
| - }, |
51 |
| - lens, |
52 |
| - ) |
53 |
| - .plot_config(PlotConfiguration::default().summary_scale(AxisScale::Logarithmic)); |
54 |
| - c.bench("get_many_from_sorted_mut", benchmark); |
| 39 | + let mut group = c.benchmark_group("get_many_from_sorted_mut"); |
| 40 | + group.plot_config( |
| 41 | + PlotConfiguration::default().summary_scale(AxisScale::Logarithmic)); |
| 42 | + for len in &lens { |
| 43 | + group.bench_with_input( |
| 44 | + format!("{}", len), |
| 45 | + len, |
| 46 | + |b, &len| { |
| 47 | + let mut rng = StdRng::seed_from_u64(42); |
| 48 | + let mut data: Vec<_> = (0..len).collect(); |
| 49 | + data.shuffle(&mut rng); |
| 50 | + let indices: Array1<_> = (0..len).step_by(len / 10).collect(); |
| 51 | + b.iter_batched( |
| 52 | + || Array1::from(data.clone()), |
| 53 | + |mut arr| { |
| 54 | + black_box(arr.get_many_from_sorted_mut(&indices)); |
| 55 | + }, |
| 56 | + BatchSize::SmallInput, |
| 57 | + ) |
| 58 | + }); |
| 59 | + } |
| 60 | + group.finish(); |
55 | 61 | }
|
56 | 62 |
|
57 | 63 | criterion_group! {
|
|
0 commit comments