feat: add rust codes for graph chapter (#598)

* feat: add rust codes for graph chapter

* update: remove Vertex and it's method to vertex.rs
pull/604/head
Night Cruising 1 year ago committed by GitHub
parent c9a8b0a9ea
commit c3add62dc7
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@ -229,5 +229,25 @@ path = "chapter_backtracking/subset_sum_i.rs"
name = "subset_sum_ii"
path = "chapter_backtracking/subset_sum_ii.rs"
# Run Command: cargo run --bin graph_adjacency_list
[[bin]]
name = "graph_adjacency_list"
path = "chapter_graph/graph_adjacency_list.rs"
# Run Command: cargo run --bin graph_adjacency_matrix
[[bin]]
name = "graph_adjacency_matrix"
path = "chapter_graph/graph_adjacency_matrix.rs"
# Run Command: cargo run --bin graph_bfs
[[bin]]
name = "graph_bfs"
path = "chapter_graph/graph_bfs.rs"
# Run Command: cargo run --bin graph_dfs
[[bin]]
name = "graph_dfs"
path = "chapter_graph/graph_dfs.rs"
[dependencies]
rand = "0.8.5"

@ -0,0 +1,142 @@
/*
* File: graph_adjacency_list.rs
* Created Time: 2023-07-12
* Author: night-cruise (2586447362@qq.com)
*/
include!("../include/vertex.rs");
use std::collections::HashMap;
/* 基于邻接表实现的无向图类型 */
pub struct GraphAdjList {
// 邻接表key: 顶点value该顶点的所有邻接顶点
pub adj_list: HashMap<Vertex, Vec<Vertex>>,
}
impl GraphAdjList {
/* 构造方法 */
pub fn new(edges: Vec<[Vertex; 2]>) -> Self {
let mut graph = GraphAdjList {
adj_list: HashMap::new(),
};
// 添加所有顶点和边
for edge in edges {
graph.add_vertex(edge[0]);
graph.add_vertex(edge[1]);
graph.add_edge(edge[0], edge[1]);
}
graph
}
/* 获取顶点数量 */
#[allow(unused)]
pub fn size(&self) -> usize {
self.adj_list.len()
}
/* 添加边 */
pub fn add_edge(&mut self, vet1: Vertex, vet2: Vertex) {
if !self.adj_list.contains_key(&vet1) || !self.adj_list.contains_key(&vet2) || vet1 == vet2
{
panic!("value error");
}
// 添加边 vet1 - vet2
self.adj_list.get_mut(&vet1).unwrap().push(vet2);
self.adj_list.get_mut(&vet2).unwrap().push(vet1);
}
/* 删除边 */
#[allow(unused)]
pub fn remove_edge(&mut self, vet1: Vertex, vet2: Vertex) {
if !self.adj_list.contains_key(&vet1) || !self.adj_list.contains_key(&vet2) || vet1 == vet2
{
panic!("value error");
}
// 删除边 vet1 - vet2
self.adj_list
.get_mut(&vet1)
.unwrap()
.retain(|&vet| vet != vet2);
self.adj_list
.get_mut(&vet2)
.unwrap()
.retain(|&vet| vet != vet1);
}
/* 添加顶点 */
pub fn add_vertex(&mut self, vet: Vertex) {
if self.adj_list.contains_key(&vet) {
return;
}
// 在邻接表中添加一个新链表
self.adj_list.insert(vet, vec![]);
}
/* 删除顶点 */
#[allow(unused)]
pub fn remove_vertex(&mut self, vet: Vertex) {
if !self.adj_list.contains_key(&vet) {
panic!("value error");
}
// 在邻接表中删除顶点 vet 对应的链表
self.adj_list.remove(&vet);
// 遍历其他顶点的链表,删除所有包含 vet 的边
for list in self.adj_list.values_mut() {
list.retain(|&v| v != vet);
}
}
/* 打印邻接表 */
pub fn print(&self) {
println!("邻接表 =");
for (vertex, list) in &self.adj_list {
let list = list.iter().map(|vertex| vertex.val).collect::<Vec<i32>>();
println!("{}: {:?},", vertex.val, list);
}
}
}
/* Driver Code */
#[allow(unused)]
fn main() {
/* 初始化无向图 */
let v = vals_to_vets(vec![1, 3, 2, 5, 4]);
let edges = vec![
[v[0], v[1]],
[v[0], v[3]],
[v[1], v[2]],
[v[2], v[3]],
[v[2], v[4]],
[v[3], v[4]],
];
let mut graph = GraphAdjList::new(edges);
println!("\n初始化后图为");
graph.print();
/* 添加边 */
// 顶点 1, 2 即 v[0], v[2]
graph.add_edge(v[0], v[2]);
println!("\n添加边 1-2 后,图为");
graph.print();
/* 删除边 */
// 顶点 1, 3 即 v[0], v[1]
graph.remove_edge(v[0], v[1]);
println!("\n删除边 1-3 后,图为");
graph.print();
/* 添加顶点 */
let v5 = Vertex { val: 6 };
graph.add_vertex(v5);
println!("\n添加顶点 6 后,图为");
graph.print();
/* 删除顶点 */
// 顶点 3 即 v[1]
graph.remove_vertex(v[1]);
println!("\n删除顶点 3 后,图为");
graph.print();
}

@ -0,0 +1,136 @@
/*
* File: graph_adjacency_matrix.rs
* Created Time: 2023-07-12
* Author: night-cruise (2586447362@qq.com)
*/
/* 基于邻接矩阵实现的无向图类型 */
pub struct GraphAdjMat {
// 顶点列表,元素代表“顶点值”,索引代表“顶点索引”
pub vertices: Vec<i32>,
// 邻接矩阵,行列索引对应“顶点索引”
pub adj_mat: Vec<Vec<i32>>,
}
impl GraphAdjMat {
/* 构造方法 */
pub fn new(vertices: Vec<i32>, edges: Vec<[usize; 2]>) -> Self {
let mut graph = GraphAdjMat {
vertices: vec![],
adj_mat: vec![],
};
// 添加顶点
for val in vertices {
graph.add_vertex(val);
}
// 添加边
// 请注意edges 元素代表顶点索引,即对应 vertices 元素索引
for edge in edges {
graph.add_edge(edge[0], edge[1])
}
graph
}
/* 获取顶点数量 */
pub fn size(&self) -> usize {
self.vertices.len()
}
/* 添加顶点 */
pub fn add_vertex(&mut self, val: i32) {
let n = self.size();
// 向顶点列表中添加新顶点的值
self.vertices.push(val);
// 在邻接矩阵中添加一行
self.adj_mat.push(vec![0; n]);
// 在邻接矩阵中添加一列
for row in &mut self.adj_mat {
row.push(0);
}
}
/* 删除顶点 */
pub fn remove_vertex(&mut self, index: usize) {
if index >= self.size() {
panic!("index error")
}
// 在顶点列表中移除索引 index 的顶点
self.vertices.remove(index);
// 在邻接矩阵中删除索引 index 的行
self.adj_mat.remove(index);
// 在邻接矩阵中删除索引 index 的列
for row in &mut self.adj_mat {
row.remove(index);
}
}
/* 添加边 */
pub fn add_edge(&mut self, i: usize, j: usize) {
// 参数 i, j 对应 vertices 元素索引
// 索引越界与相等处理
if i >= self.size() || j >= self.size() || i == j {
panic!("index error")
}
// 在无向图中,邻接矩阵沿主对角线对称,即满足 (i, j) == (j, i)
self.adj_mat[i][j] = 1;
self.adj_mat[j][i] = 1;
}
/* 删除边 */
// 参数 i, j 对应 vertices 元素索引
pub fn remove_edge(&mut self, i: usize, j: usize) {
// 参数 i, j 对应 vertices 元素索引
// 索引越界与相等处理
if i >= self.size() || j >= self.size() || i == j {
panic!("index error")
}
self.adj_mat[i][j] = 0;
self.adj_mat[j][i] = 0;
}
/* 打印邻接矩阵 */
pub fn print(&self) {
println!("顶点列表 = {:?}", self.vertices);
println!("邻接矩阵 =");
println!("[");
for row in &self.adj_mat {
println!(" {:?},", row);
}
println!("]")
}
}
/* Driver Code */
fn main() {
/* 初始化无向图 */
// 请注意edges 元素代表顶点索引,即对应 vertices 元素索引
let vertices = vec![1, 3, 2, 5, 4];
let edges = vec![[0, 1], [0, 3], [1, 2], [2, 3], [2, 4], [3, 4]];
let mut graph = GraphAdjMat::new(vertices, edges);
println!("\n初始化后图为");
graph.print();
/* 添加边 */
// 顶点 1, 2 的索引分别为 0, 2
graph.add_edge(0, 2);
println!("\n添加边 1-2 后,图为");
graph.print();
/* 删除边 */
// 顶点 1, 3 的索引分别为 0, 1
graph.remove_edge(0, 1);
println!("\n删除边 1-3 后,图为");
graph.print();
/* 添加顶点 */
graph.add_vertex(6);
println!("\n添加顶点 6 后,图为");
graph.print();
/* 删除顶点 */
// 顶点 3 的索引为 1
graph.remove_vertex(1);
println!("\n删除顶点 3 后,图为");
graph.print();
}

@ -0,0 +1,69 @@
/*
* File: graph_bfs.rs
* Created Time: 2023-07-12
* Author: night-cruise (2586447362@qq.com)
*/
mod graph_adjacency_list;
use std::collections::{HashSet, VecDeque};
use graph_adjacency_list::GraphAdjList;
use graph_adjacency_list::{Vertex, vets_to_vals, vals_to_vets};
/* 广度优先遍历 BFS */
// 使用邻接表来表示图,以便获取指定顶点的所有邻接顶点
fn graph_bfs(graph: GraphAdjList, start_vet: Vertex) -> Vec<Vertex> {
// 顶点遍历序列
let mut res = vec![];
// 哈希表,用于记录已被访问过的顶点
let mut visited = HashSet::new();
visited.insert(start_vet);
// 队列用于实现 BFS
let mut que = VecDeque::new();
que.push_back(start_vet);
// 以顶点 vet 为起点,循环直至访问完所有顶点
while !que.is_empty() {
let vet = que.pop_front().unwrap(); // 队首顶点出队
res.push(vet); // 记录访问顶点
// 遍历该顶点的所有邻接顶点
if let Some(adj_vets) = graph.adj_list.get(&vet) {
for &adj_vet in adj_vets {
if visited.contains(&adj_vet) {
continue; // 跳过已被访问过的顶点
}
que.push_back(adj_vet); // 只入队未访问的顶点
visited.insert(adj_vet); // 标记该顶点已被访问
}
}
}
// 返回顶点遍历序列
res
}
/* Driver Code */
fn main() {
/* 初始化无向图 */
let v = vals_to_vets(vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
let edges = vec![
[v[0], v[1]],
[v[0], v[3]],
[v[1], v[2]],
[v[1], v[4]],
[v[2], v[5]],
[v[3], v[4]],
[v[3], v[6]],
[v[4], v[5]],
[v[4], v[7]],
[v[5], v[8]],
[v[6], v[7]],
[v[7], v[8]],
];
let graph = GraphAdjList::new(edges);
println!("\n初始化后图为");
graph.print();
/* 广度优先遍历 BFS */
let res = graph_bfs(graph, v[0]);
println!("\n广度优先遍历BFS顶点序列为");
println!("{:?}", vets_to_vals(res));
}

@ -0,0 +1,61 @@
/*
* File: graph_dfs.rs
* Created Time: 2023-07-12
* Author: night-cruise (2586447362@qq.com)
*/
mod graph_adjacency_list;
use std::collections::HashSet;
use graph_adjacency_list::GraphAdjList;
use graph_adjacency_list::{Vertex, vets_to_vals, vals_to_vets};
/* 深度优先遍历 DFS 辅助函数 */
fn dfs(graph: &GraphAdjList, visited: &mut HashSet<Vertex>, res: &mut Vec<Vertex>, vet: Vertex) {
res.push(vet); // 记录访问顶点
visited.insert(vet); // 标记该顶点已被访问
// 遍历该顶点的所有邻接顶点
if let Some(adj_vets) = graph.adj_list.get(&vet) {
for &adj_vet in adj_vets {
if visited.contains(&adj_vet) {
continue; // 跳过已被访问过的顶点
}
// 递归访问邻接顶点
dfs(graph, visited, res, adj_vet);
}
}
}
/* 深度优先遍历 DFS */
// 使用邻接表来表示图,以便获取指定顶点的所有邻接顶点
fn graph_dfs(graph: GraphAdjList, start_vet: Vertex) -> Vec<Vertex> {
// 顶点遍历序列
let mut res = vec![];
// 哈希表,用于记录已被访问过的顶点
let mut visited = HashSet::new();
dfs(&graph, &mut visited, &mut res, start_vet);
res
}
/* Driver Code */
fn main() {
/* 初始化无向图 */
let v = vals_to_vets(vec![0, 1, 2, 3, 4, 5, 6]);
let edges = vec![
[v[0], v[1]],
[v[0], v[3]],
[v[1], v[2]],
[v[2], v[5]],
[v[4], v[5]],
[v[5], v[6]],
];
let graph = GraphAdjList::new(edges);
println!("\n初始化后图为");
graph.print();
/* 深度优先遍历 DFS */
let res = graph_dfs(graph, v[0]);
println!("\n深度优先遍历DFS顶点序列为");
println!("{:?}", vets_to_vals(res));
}

@ -6,4 +6,5 @@
pub mod print_util;
pub mod list_node;
pub mod tree_node;
pub mod tree_node;
pub mod vertex;

@ -0,0 +1,21 @@
/*
* File: vertex.rs
* Created Time: 2023-07-13
* Author: night-cruise (2586447362@qq.com)
*/
/* 顶点类型 */
#[derive(Copy, Clone, Hash, PartialEq, Eq)]
pub struct Vertex {
pub val: i32
}
/* 输入值列表 vals ,返回顶点列表 vets */
pub fn vals_to_vets(vals: Vec<i32>) -> Vec<Vertex> {
vals.into_iter().map(|val| Vertex { val }).collect()
}
/* 输入顶点列表 vets ,返回值列表 vals */
pub fn vets_to_vals(vets: Vec<Vertex>) -> Vec<i32> {
vets.into_iter().map(|vet| vet.val).collect()
}
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