blob: 72f5aae692f3af73f8694c12e4bd3b01b3248ac3 [file] [log] [blame]
#![feature(test)]
extern crate petgraph;
extern crate test;
use test::Bencher;
use petgraph::algo;
use petgraph::matrix_graph::{node_index, MatrixGraph};
use petgraph::{Directed, EdgeType, Incoming, Outgoing};
#[bench]
fn add_100_nodes(b: &mut test::Bencher) {
b.iter(|| {
let mut g = MatrixGraph::<(), ()>::with_capacity(100);
for _ in 0..100 {
let _ = g.add_node(());
}
});
}
#[bench]
fn add_100_edges_to_self(b: &mut test::Bencher) {
let mut g = MatrixGraph::<(), ()>::with_capacity(100);
let nodes: Vec<_> = (0..100).map(|_| g.add_node(())).collect();
let g = g;
b.iter(|| {
let mut g = g.clone();
for &node in nodes.iter() {
g.add_edge(node, node, ());
}
});
}
#[bench]
fn add_5_edges_for_each_of_100_nodes(b: &mut test::Bencher) {
let mut g = MatrixGraph::<(), ()>::with_capacity(100);
let nodes: Vec<_> = (0..100).map(|_| g.add_node(())).collect();
let g = g;
let edges_to_add: Vec<_> = nodes
.iter()
.enumerate()
.map(|(i, &node)| {
let edges: Vec<_> = (0..5)
.map(|j| (i + j + 1) % nodes.len())
.map(|j| (node, nodes[j]))
.collect();
edges
})
.flatten()
.collect();
b.iter(|| {
let mut g = g.clone();
for &(source, target) in edges_to_add.iter() {
g.add_edge(source, target, ());
}
});
}
#[bench]
fn add_edges_from_root(bench: &mut test::Bencher) {
bench.iter(|| {
let mut gr = MatrixGraph::new();
let a = gr.add_node(());
for _ in 0..100 {
let b = gr.add_node(());
gr.add_edge(a, b, ());
}
});
}
#[bench]
fn add_adjacent_edges(bench: &mut test::Bencher) {
bench.iter(|| {
let mut gr = MatrixGraph::new();
let mut prev = None;
for _ in 0..100 {
let b = gr.add_node(());
if let Some(a) = prev {
gr.add_edge(a, b, ());
}
prev = Some(b);
}
});
}
/// An almost full set
const FULL: &str = "
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1
";
const BIGGER: &str = "
0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 1 0 1 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0
0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0
0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 1 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 1
0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 1
0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 1 1 0 1 1 1 0 0 0 0 0 1 0 0 1 0 0 0 1 0 1 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 1 0
0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 1 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0
1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0
0 1 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 1 0 0
0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 0
0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0
0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 1 0 0 0
0 1 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 1
0 1 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 1 0
0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 1
0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 1 1
0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 1
0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 1 0
";
/// Parse a text adjacency matrix format into a directed graph
fn parse_matrix<Ty: EdgeType>(s: &str) -> MatrixGraph<(), (), Ty> {
let mut gr = MatrixGraph::default();
let s = s.trim();
let lines = s.lines().filter(|l| !l.is_empty());
for (row, line) in lines.enumerate() {
for (col, word) in line.split(' ').filter(|s| !s.is_empty()).enumerate() {
let has_edge = word.parse::<i32>().unwrap();
assert!(has_edge == 0 || has_edge == 1);
if has_edge == 0 {
continue;
}
while col >= gr.node_count() || row >= gr.node_count() {
gr.add_node(());
}
gr.add_edge(node_index(row), node_index(col), ());
}
}
gr
}
#[bench]
fn full_edges_out(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(FULL);
bench.iter(|| a.edges_directed(node_index(1), Outgoing).count())
}
#[bench]
fn full_edges_in(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(FULL);
bench.iter(|| a.edges_directed(node_index(1), Incoming).count())
}
#[bench]
fn full_neighbors_out(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(FULL);
bench.iter(|| a.neighbors_directed(node_index(1), Outgoing).count())
}
#[bench]
fn full_neighbors_in(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(FULL);
bench.iter(|| a.neighbors_directed(node_index(1), Incoming).count())
}
#[bench]
fn full_sccs(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(FULL);
bench.iter(|| algo::kosaraju_scc(&a));
}
#[bench]
fn bigger_edges_out(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(BIGGER);
bench.iter(|| a.edges_directed(node_index(1), Outgoing).count())
}
#[bench]
fn bigger_edges_in(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(BIGGER);
bench.iter(|| a.edges_directed(node_index(1), Incoming).count())
}
#[bench]
fn bigger_neighbors_out(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(BIGGER);
bench.iter(|| a.neighbors_directed(node_index(1), Outgoing).count())
}
#[bench]
fn bigger_neighbors_in(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(BIGGER);
bench.iter(|| a.neighbors_directed(node_index(1), Incoming).count())
}
#[bench]
fn bigger_sccs(bench: &mut Bencher) {
let a = parse_matrix::<Directed>(BIGGER);
bench.iter(|| algo::kosaraju_scc(&a));
}