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Add Rust implementation of some algorithms
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name: Rust CI | ||
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on: | ||
push: | ||
branches: [ master ] | ||
pull_request: | ||
branches: [ master ] | ||
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jobs: | ||
build-ubuntu-rustc: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- uses: actions/checkout@v2 | ||
- name: install rustc | ||
run: | | ||
sudo apt install rustc | ||
- name: compile | ||
run: | | ||
cd rust | ||
cargo |
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.idea | ||
*.iml | ||
Cargo.lock | ||
target |
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[package] | ||
name = "codelibrary" | ||
version = "0.1.0" | ||
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edition = "2018" | ||
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[[bin]] | ||
name = "topological_sort" | ||
path = "graphs/dfs/topological_sort.rs" | ||
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[[bin]] | ||
name = "dijkstra" | ||
path = "graphs/shortestpaths/dijkstra.rs" | ||
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[[bin]] | ||
name = "max_bipartite_matching_EV" | ||
path = "graphs/matchings/max_bipartite_matching_EV.rs" | ||
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[[bin]] | ||
name = "euclid" | ||
path = "numbertheory/euclid.rs" | ||
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[[bin]] | ||
name = "disjoint_sets" | ||
path = "structures/disjoint_sets.rs" | ||
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[[bin]] | ||
name = "fenwick_tree" | ||
path = "structures/fenwick_tree.rs" |
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fn dfs(graph: &Vec<Vec<usize>>, used: &mut Vec<bool>, order: &mut Vec<usize>, u: usize) { | ||
used[u] = true; | ||
for v in &graph[u] { | ||
if !used[*v] { | ||
dfs(graph, used, order, *v); | ||
} | ||
} | ||
order.push(u); | ||
} | ||
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pub fn topological_sort(graph: &Vec<Vec<usize>>) -> Vec<usize> { | ||
let n = graph.len(); | ||
let mut used = vec![false; n]; | ||
let mut order = Vec::<usize>::new(); | ||
for i in 0..n { | ||
if !used[i] { | ||
dfs(graph, &mut used, &mut order, i); | ||
} | ||
} | ||
order.reverse(); | ||
return order; | ||
} | ||
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fn main() { | ||
let g = vec![vec![0], vec![], vec![0, 1]]; | ||
let order = topological_sort(&g); | ||
assert_eq!(order, vec![2, 1, 0]); | ||
} |
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fn find_path(graph: &Vec<Vec<usize>>, u1: usize, matching: &mut Vec<usize>, vis: &mut Vec<bool>) -> bool { | ||
vis[u1] = true; | ||
for v in &graph[u1] { | ||
let u2 = matching[*v]; | ||
if u2 == usize::MAX || (!vis[u2] && find_path(graph, u2, matching, vis)) { | ||
matching[*v] = u1; | ||
return true; | ||
} | ||
} | ||
return false; | ||
} | ||
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pub fn max_matching(graph: &Vec<Vec<usize>>, n2: usize) -> (usize, Vec<usize>) { | ||
let n1 = graph.len(); | ||
let mut matching = vec![usize::MAX; n2]; | ||
let mut matches = 0; | ||
for u in 0..n1 { | ||
let mut vis = vec![false; n1]; | ||
if find_path(graph, u, &mut matching, &mut vis) { | ||
matches += 1; | ||
} | ||
} | ||
return (matches, matching); | ||
} | ||
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fn main() { | ||
let g = vec![vec![0, 1], vec![0]]; | ||
let (cardinality, matching) = max_matching(&g, 2); | ||
assert_eq!(cardinality, 2); | ||
assert_eq!(matching, vec![1, 0]); | ||
} |
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use std::collections::BinaryHeap; | ||
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// https://cp-algorithms.com/graph/dijkstra_sparse.html | ||
// O(E*log(V)) time and O(E) memory | ||
pub fn dijkstra_heap(graph: &Vec<Vec<(usize, i32)>>, s: usize) -> (Vec<i32>, Vec<usize>) { | ||
let n = graph.len(); | ||
let mut prio = vec![i32::MAX; n]; | ||
let mut pred = vec![usize::MAX; n]; | ||
let mut q = BinaryHeap::<(i32, usize)>::new(); | ||
prio[s] = 0; | ||
q.push((0, s)); | ||
while let Some((d, u)) = q.pop() { | ||
if -d != prio[u] { continue; } | ||
for (v, len) in &graph[u] { | ||
let nprio = prio[u] + len; | ||
if prio[*v] > nprio { | ||
prio[*v] = nprio; | ||
pred[*v] = u; | ||
q.push((-nprio, *v)); | ||
} | ||
} | ||
} | ||
return (prio, pred); | ||
} | ||
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fn main() { | ||
let g = vec![vec![(1, 10), (2, 8)], vec![(2, -5)], vec![]]; | ||
let (prio, pred) = dijkstra_heap(&g, 0); | ||
assert_eq!(prio, vec![0, 10, 5]); | ||
assert_eq!(pred, vec![usize::MAX, 0, 1]); | ||
} |
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fn gcd(a: i32, b: i32) -> i32 { | ||
return if b == 0 { a.abs() } else { gcd(b, a % b) }; | ||
} | ||
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// returns { gcd(a,b), x, y } such that gcd(a,b) = a*x + b*y | ||
fn euclid(mut a: i64, mut b: i64) -> [i64; 3] { | ||
let mut x: i64 = 1; | ||
let mut y: i64 = 0; | ||
let mut x1: i64 = 0; | ||
let mut y1: i64 = 1; | ||
// invariant: a=a_orig*x+b_orig*y, b=a_orig*x1+b_orig*y1 | ||
while b != 0 { | ||
let q = a / b; | ||
let _x1 = x1; | ||
let _y1 = y1; | ||
let _b = b; | ||
x1 = x - q * x1; | ||
y1 = y - q * y1; | ||
b = a - q * b; | ||
x = _x1; | ||
y = _y1; | ||
a = _b; | ||
} | ||
return if a > 0 { [a, x, y] } else { [-a, -x, -y] }; | ||
} | ||
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fn main() { | ||
assert_eq!(gcd(15, 20), 5); | ||
assert_eq!(euclid(6, 9), [3, -1, 1]); | ||
} |
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struct DisjointSets { | ||
p: Vec<usize> | ||
} | ||
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impl DisjointSets { | ||
pub fn new(n: usize) -> Self { | ||
DisjointSets { p: (0..n).collect() } | ||
} | ||
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pub fn root(&mut self, x: usize) -> usize { | ||
if x != self.p[x] { | ||
self.p[x] = self.root(self.p[x]); | ||
} | ||
self.p[x] | ||
} | ||
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pub fn unite(&mut self, a: usize, b: usize) { | ||
let a = self.root(a); | ||
let b = self.root(b); | ||
self.p[b] = a; | ||
} | ||
} | ||
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fn main() { | ||
let mut ds = DisjointSets::new(3); | ||
ds.unite(0, 2); | ||
assert_eq!(ds.root(0), 0); | ||
assert_eq!(ds.root(1), 1); | ||
assert_eq!(ds.root(2), 0); | ||
} |
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use std::ops::AddAssign; | ||
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struct Fenwick<T> { | ||
t: Vec<T> | ||
} | ||
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impl<T: AddAssign + Copy + From<i32>> Fenwick<T> { | ||
fn new(n: usize) -> Self { | ||
Fenwick { t: vec![0.into(); n] } | ||
} | ||
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pub fn add(&mut self, mut i: usize, value: T) { | ||
while i < self.t.len() { | ||
self.t[i] += value; | ||
i |= i + 1; | ||
} | ||
} | ||
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// sum[0..i] | ||
pub fn sum(&self, mut i: i32) -> T { | ||
let mut res: T = 0.into(); | ||
while i >= 0 { | ||
res += self.t[i as usize]; | ||
i = (i & (i + 1)) - 1; | ||
} | ||
return res; | ||
} | ||
} | ||
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fn main() { | ||
let mut t = Fenwick::<i32>::new(3); | ||
t.add(0, 4); | ||
t.add(1, 5); | ||
t.add(2, 5); | ||
t.add(2, 5); | ||
assert_eq!(t.sum(0), 4); | ||
assert_eq!(t.sum(2), 19); | ||
} |