zig : upgrade codes && rust : add codes for chapter_searching and chapter_dynamic_programming. (#591)

* zig : update zig codes

* rust : add codes for linear_search and hashing_search

* rust : add codes for linear_search and hashing_search

* rust : add codes for chapter_dynamic_programming
This commit is contained in:
sjinzh
2023-07-10 01:32:12 +08:00
committed by GitHub
parent 6c133d42d5
commit 459449d41a
21 changed files with 485 additions and 187 deletions
+40
View File
@@ -154,5 +154,45 @@ path = "chapter_tree/binary_tree_dfs.rs"
name = "binary_tree"
path = "chapter_tree/binary_tree.rs"
# Run Command: cargo run --bin linear_search
[[bin]]
name = "linear_search"
path = "chapter_searching/linear_search.rs"
# Run Command: cargo run --bin hashing_search
[[bin]]
name = "hashing_search"
path = "chapter_searching/hashing_search.rs"
# Run Command: cargo run --bin climbing_stairs_dfs
[[bin]]
name = "climbing_stairs_dfs"
path = "chapter_dynamic_programming/climbing_stairs_dfs.rs"
# Run Command: cargo run --bin climbing_stairs_dfs_mem
[[bin]]
name = "climbing_stairs_dfs_mem"
path = "chapter_dynamic_programming/climbing_stairs_dfs_mem.rs"
# Run Command: cargo run --bin climbing_stairs_dp
[[bin]]
name = "climbing_stairs_dp"
path = "chapter_dynamic_programming/climbing_stairs_dp.rs"
# Run Command: cargo run --bin min_cost_climbing_stairs_dp
[[bin]]
name = "min_cost_climbing_stairs_dp"
path = "chapter_dynamic_programming/min_cost_climbing_stairs_dp.rs"
# Run Command: cargo run --bin climbing_stairs_constraint_dp
[[bin]]
name = "climbing_stairs_constraint_dp"
path = "chapter_dynamic_programming/climbing_stairs_constraint_dp.rs"
# Run Command: cargo run --bin climbing_stairs_backtrack
[[bin]]
name = "climbing_stairs_backtrack"
path = "chapter_dynamic_programming/climbing_stairs_backtrack.rs"
[dependencies]
rand = "0.8.5"
@@ -0,0 +1,37 @@
/*
* File: climbing_stairs_backtrack.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
/* 回溯 */
fn backtrack(choices: &[i32], state: i32, n: i32, res: &mut [i32]) {
// 当爬到第 n 阶时,方案数量加 1
if state == n { res[0] = res[0] + 1; }
// 遍历所有选择
for &choice in choices {
// 剪枝:不允许越过第 n 阶
if state + choice > n { break; }
// 尝试:做出选择,更新状态
backtrack(choices, state + choice, n, res);
// 回退
}
}
/* 爬楼梯:回溯 */
fn climbing_stairs_backtrack(n: usize) -> i32 {
let choices = vec![ 1, 2 ]; // 可选择向上爬 1 或 2 阶
let state = 0; // 从第 0 阶开始爬
let mut res = Vec::new();
res.push(0); // 使用 res[0] 记录方案数量
backtrack(&choices, state, n as i32, &mut res);
res[0]
}
/* Driver Code */
pub fn main() {
let n: usize = 9;
let res = climbing_stairs_backtrack(n);
println!("{n} 阶楼梯共有 {res} 种方案");
}
@@ -0,0 +1,31 @@
/*
* File: climbing_stairs_constraint_dp.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
/* 带约束爬楼梯:动态规划 */
fn climbing_stairs_constraint_dp(n: usize) -> i32 {
if n == 1 || n == 2 { return n as i32 };
// 初始化 dp 表,用于存储子问题的解
let mut dp = vec![vec![-1; 3]; n + 1];
// 初始状态:预设最小子问题的解
dp[1][1] = 1;
dp[1][2] = 0;
dp[2][1] = 0;
dp[2][2] = 1;
// 状态转移:从较小子问题逐步求解较大子问题
for i in 3..=n {
dp[i][1] = dp[i - 1][2];
dp[i][2] = dp[i - 2][1] + dp[i - 2][2];
}
dp[n][1] + dp[n][2]
}
/* Driver Code */
pub fn main() {
let n: usize = 9;
let res = climbing_stairs_constraint_dp(n);
println!("{n} 阶楼梯共有 {res} 种方案");
}
@@ -0,0 +1,27 @@
/*
* File: climbing_stairs_dfs.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
/* 搜索 */
fn dfs(i: usize) -> i32 {
// 已知 dp[1] 和 dp[2] ,返回之
if i == 1 || i == 2 { return i as i32 };
// dp[i] = dp[i-1] + dp[i-2]
let count = dfs(i - 1) + dfs(i - 2);
count
}
/* 爬楼梯:搜索 */
fn climbing_stairs_dfs(n: usize) -> i32 {
dfs(n)
}
/* Driver Code */
pub fn main() {
let n: usize = 9;
let res = climbing_stairs_dfs(n);
println!("{n} 阶楼梯共有 {res} 种方案");
}
@@ -0,0 +1,33 @@
/*
* File: climbing_stairs_dfs_mem.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
/* 记忆化搜索 */
fn dfs(i: usize, mem: &mut [i32]) -> i32 {
// 已知 dp[1] 和 dp[2] ,返回之
if i == 1 || i == 2 { return i as i32};
// 若存在记录 dp[i] ,则直接返回之
if mem[i] != -1 { return mem[i] };
// dp[i] = dp[i-1] + dp[i-2]
let count = dfs(i - 1, mem) + dfs(i - 2, mem);
// 记录 dp[i]
mem[i] = count;
count
}
/* 爬楼梯:记忆化搜索 */
fn climbing_stairs_dfs_mem(n: usize) -> i32 {
// mem[i] 记录爬到第 i 阶的方案总数,-1 代表无记录
let mut mem = vec![-1; n + 1];
dfs(n, &mut mem)
}
/* Driver Code */
pub fn main() {
let n: usize = 9;
let res = climbing_stairs_dfs_mem(n);
println!("{n} 阶楼梯共有 {res} 种方案");
}
@@ -0,0 +1,44 @@
/*
* File: climbing_stairs_dp.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
/* 爬楼梯:动态规划 */
fn climbing_stairs_dp(n: usize) -> i32 {
// 已知 dp[1] 和 dp[2] ,返回之
if n == 1 || n == 2 { return n as i32 };
// 初始化 dp 表,用于存储子问题的解
let mut dp = vec![-1; n + 1];
// 初始状态:预设最小子问题的解
dp[1] = 1;
dp[2] = 2;
// 状态转移:从较小子问题逐步求解较大子问题
for i in 3..=n {
dp[i] = dp[i - 1] + dp[i - 2];
}
dp[n]
}
/* 爬楼梯:状态压缩后的动态规划 */
fn climbing_stairs_dp_comp(n: usize) -> i32 {
if n == 1 || n == 2 { return n as i32 };
let (mut a, mut b) = (1, 2);
for _ in 3..=n {
let tmp = b;
b = a + b;
a = tmp;
}
b
}
/* Driver Code */
pub fn main() {
let n: usize = 9;
let res = climbing_stairs_dp(n);
println!("{n} 阶楼梯共有 {res} 种方案");
let res = climbing_stairs_dp_comp(n);
println!("{n} 阶楼梯共有 {res} 种方案");
}
@@ -0,0 +1,48 @@
/*
* File: min_cost_climbing_stairs_dp.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
use std::cmp;
/* 爬楼梯最小代价:动态规划 */
fn min_cost_climbing_stairs_dp(cost: &[i32]) -> i32 {
let n = cost.len() - 1;
if n == 1 || n == 2 { return cost[n] };
// 初始化 dp 表,用于存储子问题的解
let mut dp = vec![-1; n + 1];
// 初始状态:预设最小子问题的解
dp[1] = cost[1];
dp[2] = cost[2];
// 状态转移:从较小子问题逐步求解较大子问题
for i in 3..=n {
dp[i] = cmp::min(dp[i - 1], dp[i - 2]) + cost[i];
}
dp[n]
}
/* 爬楼梯最小代价:状态压缩后的动态规划 */
fn min_cost_climbing_stairs_dp_comp(cost: &[i32]) -> i32 {
let n = cost.len() - 1;
if n == 1 || n == 2 { return cost[n] };
let (mut a, mut b) = (cost[1], cost[2]);
for i in 3..=n {
let tmp = b;
b = cmp::min(a, tmp) + cost[i];
a = tmp;
}
b
}
/* Driver Code */
pub fn main() {
let cost = [ 0, 1, 10, 1, 1, 1, 10, 1, 1, 10, 1 ];
println!("输入楼梯的代价列表为 {:?}", &cost);
let res = min_cost_climbing_stairs_dp(&cost);
println!("爬完楼梯的最低代价为 {res}");
let res = min_cost_climbing_stairs_dp_comp(&cost);
println!("爬完楼梯的最低代价为 {res}");
}
@@ -0,0 +1,49 @@
/*
* File: hashing_search.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
include!("../include/include.rs");
use std::collections::HashMap;
use std::rc::Rc;
use std::cell::RefCell;
use list_node::ListNode;
/* 哈希查找(数组) */
fn hashing_search_array<'a>(map: &'a HashMap<i32, usize>, target: i32) -> Option<&'a usize> {
// 哈希表的 key: 目标元素,value: 索引
// 若哈希表中无此 key ,返回 None
map.get(&target)
}
/* 哈希查找(链表) */
fn hashing_search_linked_list(map: &HashMap<i32, Rc<RefCell<ListNode<i32>>>>, target: i32) -> Option<&Rc<RefCell<ListNode<i32>>>> {
// 哈希表的 key: 目标节点值,value: 节点对象
// 若哈希表中无此 key ,返回 None
map.get(&target)
}
/* Driver Code */
pub fn main() {
let target = 3;
/* 哈希查找(数组) */
let nums = [ 1, 5, 3, 2, 4, 7, 5, 9, 10, 8 ];
// 初始化哈希表
let mut map = HashMap::new();
for (i, num) in nums.iter().enumerate() {
map.insert(*num, i);
}
let index = hashing_search_array(&map, target);
println!("目标元素 3 的索引 = {}", index.unwrap());
/* 哈希查找(链表) */
let head = ListNode::arr_to_linked_list(&nums);
// 初始化哈希表
// let mut map1 = HashMap::new();
let map1 = ListNode::linked_list_to_hashmap(head);
let node = hashing_search_linked_list(&map1, target);
println!("目标节点值 3 的对应节点对象为 {:?}", node);
}
@@ -0,0 +1,49 @@
/*
* File: linear_search.rs
* Created Time: 2023-07-09
* Author: sjinzh (sjinzh@gmail.com)
*/
include!("../include/include.rs");
use std::rc::Rc;
use std::cell::RefCell;
use list_node::ListNode;
/* 线性查找(数组) */
fn linear_search_array(nums: &[i32], target: i32) -> i32 {
// 遍历数组
for (i, num) in nums.iter().enumerate() {
if num == &target {
return i as i32;
}
}
// 未找到目标元素,返回 -1
return -1;
}
/* 线性查找(链表) */
fn linear_search_linked_list(head: Rc<RefCell<ListNode<i32>>>, target: i32) -> Option<Rc<RefCell<ListNode<i32>>>> {
// 找到目标节点,返回之
if head.borrow().val == target {return Some(head)};
if let Some(node) = &head.borrow_mut().next {
return linear_search_linked_list(node.clone(), target);
}
// 未找到目标节点,返回 None
return None;
}
/* Driver Code */
pub fn main() {
let target = 3;
/* 在数组中执行线性查找 */
let nums = [ 1, 5, 3, 2, 4, 7, 5, 9, 10, 8 ];
let index = linear_search_array(&nums, target);
println!("目标元素 3 的索引 = {}", index);
/* 在链表中执行线性查找 */
let head = ListNode::arr_to_linked_list(&nums);
let node = linear_search_linked_list(head.unwrap(), target);
println!("目标节点值 3 的对应节点对象为 {:?}", node);
}
+39
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@@ -6,7 +6,9 @@
use std::rc::Rc;
use std::cell::RefCell;
use std::collections::HashMap;
#[derive(Debug)]
pub struct ListNode<T> {
pub val: T,
pub next: Option<Rc<RefCell<ListNode<T>>>>,
@@ -19,4 +21,41 @@ impl<T> ListNode<T> {
next: None,
}))
}
/* Generate a linked list with an array */
pub fn arr_to_linked_list(array: &[T]) -> Option<Rc<RefCell<ListNode<T>>>>
where
T: Copy + Clone,
{
let mut head = None;
let mut prev = None;
for item in array.iter().rev() {
let node = Rc::new(RefCell::new(ListNode {
val: *item,
next: prev.take(),
}));
prev = Some(node.clone());
head = Some(node);
}
head
}
/* Generate a hashmap with a linked_list */
pub fn linked_list_to_hashmap(
linked_list: Option<Rc<RefCell<ListNode<T>>>>,
) -> HashMap<T, Rc<RefCell<ListNode<T>>>>
where
T: std::hash::Hash + Eq + Copy + Clone
{
let mut hashmap = HashMap::new();
if let Some(node) = linked_list {
let mut current = Some(node.clone());
while let Some(cur) = current {
let borrow = cur.borrow();
hashmap.insert(borrow.val.clone(), cur.clone());
current = borrow.next.clone();
}
}
hashmap
}
}