1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
|
#![feature(test)]
extern crate petgraph;
extern crate test;
use petgraph::prelude::*;
use std::cmp::{max, min};
use test::Bencher;
use petgraph::algo::{bellman_ford, find_negative_cycle};
#[bench]
fn bellman_ford_bench(bench: &mut Bencher) {
static NODE_COUNT: usize = 100;
let mut g = Graph::new();
let nodes: Vec<NodeIndex<_>> = (0..NODE_COUNT).map(|i| g.add_node(i)).collect();
for i in 0..NODE_COUNT {
let n1 = nodes[i];
let neighbour_count = i % 8 + 3;
let j_from = max(0, i as i32 - neighbour_count as i32 / 2) as usize;
let j_to = min(NODE_COUNT, j_from + neighbour_count);
for j in j_from..j_to {
let n2 = nodes[j];
let mut distance: f64 = ((i + 3) % 10) as f64;
if n1 != n2 {
distance -= 1.0
}
g.add_edge(n1, n2, distance);
}
}
bench.iter(|| {
let _scores = bellman_ford(&g, nodes[0]);
});
}
#[bench]
fn find_negative_cycle_bench(bench: &mut Bencher) {
static NODE_COUNT: usize = 100;
let mut g = Graph::new();
let nodes: Vec<NodeIndex<_>> = (0..NODE_COUNT).map(|i| g.add_node(i)).collect();
for i in 0..NODE_COUNT {
let n1 = nodes[i];
let neighbour_count = i % 8 + 3;
let j_from = max(0, i as i32 - neighbour_count as i32 / 2) as usize;
let j_to = min(NODE_COUNT, j_from + neighbour_count);
for j in j_from..j_to {
let n2 = nodes[j];
let mut distance: f64 = ((i + 3) % 10) as f64;
if n1 != n2 {
distance -= 1.0
}
g.add_edge(n1, n2, distance);
}
}
bench.iter(|| {
let _scores = find_negative_cycle(&g, nodes[0]);
});
}
|
