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@ -9,36 +9,26 @@ use rustframe::{
}; };
use std::time::Duration; use std::time::Duration;
// Define size categories pub fn for_short_runs() -> Criterion {
const SIZES_SMALL: [usize; 1] = [1];
const SIZES_MEDIUM: [usize; 3] = [100, 250, 500];
const SIZES_LARGE: [usize; 1] = [1000];
// Configuration functions for different size categories
fn config_small_arrays() -> Criterion {
Criterion::default()
.sample_size(500) // More samples for very fast operations
.measurement_time(Duration::from_millis(500))
.warm_up_time(Duration::from_millis(50))
}
fn config_medium_arrays() -> Criterion {
Criterion::default()
.sample_size(100)
.measurement_time(Duration::from_millis(2000))
.warm_up_time(Duration::from_millis(100))
}
fn config_large_arrays() -> Criterion {
Criterion::default() Criterion::default()
// (samples != total iterations)
// limits the number of statistical data points.
.sample_size(50) .sample_size(50)
.measurement_time(Duration::from_millis(5000)) // measurement time per sample
.warm_up_time(Duration::from_millis(200)) .measurement_time(Duration::from_millis(2000))
// reduce warm-up time as well for faster overall run
.warm_up_time(Duration::from_millis(50))
// can make it much shorter if needed, e.g., 50ms measurement, 100ms warm-up
// .measurement_time(Duration::from_millis(50))
// .warm_up_time(Duration::from_millis(100))
} }
// Modified benchmark functions to accept a slice of sizes const BENCH_SIZES: [usize; 5] = [1, 100, 250, 500, 1000];
fn bool_matrix_operations_benchmark(c: &mut Criterion, sizes: &[usize]) {
for &size in sizes { fn bool_matrix_operations_benchmark(c: &mut Criterion) {
let sizes = BENCH_SIZES;
for &size in &sizes {
let data1: Vec<bool> = (0..size * size).map(|x| x % 2 == 0).collect(); let data1: Vec<bool> = (0..size * size).map(|x| x % 2 == 0).collect();
let data2: Vec<bool> = (0..size * size).map(|x| x % 3 == 0).collect(); let data2: Vec<bool> = (0..size * size).map(|x| x % 3 == 0).collect();
let bm1 = BoolMatrix::from_vec(data1.clone(), size, size); let bm1 = BoolMatrix::from_vec(data1.clone(), size, size);
@ -70,8 +60,10 @@ fn bool_matrix_operations_benchmark(c: &mut Criterion, sizes: &[usize]) {
} }
} }
fn matrix_boolean_operations_benchmark(c: &mut Criterion, sizes: &[usize]) { fn matrix_boolean_operations_benchmark(c: &mut Criterion) {
for &size in sizes { let sizes = BENCH_SIZES;
for &size in &sizes {
let data1: Vec<bool> = (0..size * size).map(|x| x % 2 == 0).collect(); let data1: Vec<bool> = (0..size * size).map(|x| x % 2 == 0).collect();
let data2: Vec<bool> = (0..size * size).map(|x| x % 3 == 0).collect(); let data2: Vec<bool> = (0..size * size).map(|x| x % 3 == 0).collect();
let bm1 = BoolMatrix::from_vec(data1.clone(), size, size); let bm1 = BoolMatrix::from_vec(data1.clone(), size, size);
@ -103,8 +95,10 @@ fn matrix_boolean_operations_benchmark(c: &mut Criterion, sizes: &[usize]) {
} }
} }
fn matrix_operations_benchmark(c: &mut Criterion, sizes: &[usize]) { fn matrix_operations_benchmark(c: &mut Criterion) {
for &size in sizes { let sizes = BENCH_SIZES;
for &size in &sizes {
let data: Vec<f64> = (0..size * size).map(|x| x as f64).collect(); let data: Vec<f64> = (0..size * size).map(|x| x as f64).collect();
let ma = Matrix::from_vec(data.clone(), size, size); let ma = Matrix::from_vec(data.clone(), size, size);
@ -133,7 +127,8 @@ fn matrix_operations_benchmark(c: &mut Criterion, sizes: &[usize]) {
}); });
} }
for &size in sizes { // Benchmarking matrix addition
for &size in &sizes {
let data1: Vec<f64> = (0..size * size).map(|x| x as f64).collect(); let data1: Vec<f64> = (0..size * size).map(|x| x as f64).collect();
let data2: Vec<f64> = (0..size * size).map(|x| (x + 1) as f64).collect(); let data2: Vec<f64> = (0..size * size).map(|x| (x + 1) as f64).collect();
let ma = Matrix::from_vec(data1.clone(), size, size); let ma = Matrix::from_vec(data1.clone(), size, size);
@ -172,7 +167,10 @@ fn generate_frame(size: usize) -> Frame<f64> {
.unwrap() .unwrap()
.list() .list()
.unwrap(); .unwrap();
// let col_names= str(i) for i in range(1, 1000)
let col_names: Vec<String> = (1..=size).map(|i| format!("col_{}", i)).collect(); let col_names: Vec<String> = (1..=size).map(|i| format!("col_{}", i)).collect();
Frame::new( Frame::new(
Matrix::from_vec(data.clone(), size, size), Matrix::from_vec(data.clone(), size, size),
col_names, col_names,
@ -180,8 +178,10 @@ fn generate_frame(size: usize) -> Frame<f64> {
) )
} }
fn benchmark_frame_operations(c: &mut Criterion, sizes: &[usize]) { fn benchmark_frame_operations(c: &mut Criterion) {
for &size in sizes { let sizes = BENCH_SIZES;
for &size in &sizes {
let fa = generate_frame(size); let fa = generate_frame(size);
let fb = generate_frame(size); let fb = generate_frame(size);
@ -232,46 +232,13 @@ fn benchmark_frame_operations(c: &mut Criterion, sizes: &[usize]) {
} }
} }
// Runner functions for each size category // Define the criterion group and pass the custom configuration function
fn run_benchmarks_small(c: &mut Criterion) {
bool_matrix_operations_benchmark(c, &SIZES_SMALL);
matrix_boolean_operations_benchmark(c, &SIZES_SMALL);
matrix_operations_benchmark(c, &SIZES_SMALL);
benchmark_frame_operations(c, &SIZES_SMALL);
}
fn run_benchmarks_medium(c: &mut Criterion) {
bool_matrix_operations_benchmark(c, &SIZES_MEDIUM);
matrix_boolean_operations_benchmark(c, &SIZES_MEDIUM);
matrix_operations_benchmark(c, &SIZES_MEDIUM);
benchmark_frame_operations(c, &SIZES_MEDIUM);
}
fn run_benchmarks_large(c: &mut Criterion) {
bool_matrix_operations_benchmark(c, &SIZES_LARGE);
matrix_boolean_operations_benchmark(c, &SIZES_LARGE);
matrix_operations_benchmark(c, &SIZES_LARGE);
benchmark_frame_operations(c, &SIZES_LARGE);
}
criterion_group!( criterion_group!(
name = benches_small_arrays; name = combined_benches;
config = config_small_arrays(); config = for_short_runs(); // Use the custom configuration here
targets = run_benchmarks_small targets = bool_matrix_operations_benchmark,
); matrix_boolean_operations_benchmark,
criterion_group!( matrix_operations_benchmark,
name = benches_medium_arrays; benchmark_frame_operations
config = config_medium_arrays();
targets = run_benchmarks_medium
);
criterion_group!(
name = benches_large_arrays;
config = config_large_arrays();
targets = run_benchmarks_large
);
criterion_main!(
benches_small_arrays,
benches_medium_arrays,
benches_large_arrays
); );
criterion_main!(combined_benches);