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

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@ -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"

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@ -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");
}

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@ -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");
}

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@ -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");
}

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@ -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");
}

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@ -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");
}

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@ -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}");
}

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@ -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);
}

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@ -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);
}

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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
}
}

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@ -1,2 +1,2 @@
zig-cache/
zig-out/
zig-cache/

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@ -4,244 +4,145 @@
const std = @import("std");
// Zig Version: 0.11.0-dev.3379+629f0d23b
// Build Command: zig build
// Zig Version: 0.11.0-dev.3944+2e424e019
// Zig Build Command: zig build -Doptimize=ReleaseFast
// Zig Run Command: zig build run_* -Doptimize=ReleaseFast
pub fn build(b: *std.Build) void {
const target = b.standardTargetOptions(.{});
const optimize = b.standardOptimizeOption(.{});
const group_name_path = .{
// Source File: "chapter_computational_complexity/time_complexity.zig"
// Run Command: zig build run_time_complexity
.{
.name = "time_complexity",
.path = "chapter_computational_complexity/time_complexity.zig"
},
// Run Command: zig build run_time_complexity -Doptimize=ReleaseFast
.{ .name = "time_complexity", .path = "chapter_computational_complexity/time_complexity.zig" },
// Source File: "chapter_computational_complexity/worst_best_time_complexity.zig"
// Run Command: zig build run_worst_best_time_complexity
.{
.name = "worst_best_time_complexity",
.path = "chapter_computational_complexity/worst_best_time_complexity.zig"
},
// Run Command: zig build run_worst_best_time_complexity -Doptimize=ReleaseFast
.{ .name = "worst_best_time_complexity", .path = "chapter_computational_complexity/worst_best_time_complexity.zig" },
// Source File: "chapter_computational_complexity/space_complexity.zig"
// Run Command: zig build run_space_complexity
.{
.name = "space_complexity",
.path = "chapter_computational_complexity/space_complexity.zig"
},
// Run Command: zig build run_space_complexity -Doptimize=ReleaseFast
.{ .name = "space_complexity", .path = "chapter_computational_complexity/space_complexity.zig" },
// Source File: "chapter_array_and_linkedlist/array.zig"
// Run Command: zig build run_array
.{
.name = "array",
.path = "chapter_array_and_linkedlist/array.zig"
},
// Run Command: zig build run_array -Doptimize=ReleaseFast
.{ .name = "array", .path = "chapter_array_and_linkedlist/array.zig" },
// Source File: "chapter_array_and_linkedlist/linked_list.zig"
// Run Command: zig build run_linked_list
.{
.name = "linked_list",
.path = "chapter_array_and_linkedlist/linked_list.zig"
},
// Run Command: zig build run_linked_list -Doptimize=ReleaseFast
.{ .name = "linked_list", .path = "chapter_array_and_linkedlist/linked_list.zig" },
// Source File: "chapter_array_and_linkedlist/list.zig"
// Run Command: zig build run_list
.{
.name = "list",
.path = "chapter_array_and_linkedlist/list.zig"
},
// Run Command: zig build run_list -Doptimize=ReleaseFast
.{ .name = "list", .path = "chapter_array_and_linkedlist/list.zig" },
// Source File: "chapter_array_and_linkedlist/my_list.zig"
// Run Command: zig build run_my_list
.{
.name = "my_list",
.path = "chapter_array_and_linkedlist/my_list.zig"
},
// Run Command: zig build run_my_list -Doptimize=ReleaseFast
.{ .name = "my_list", .path = "chapter_array_and_linkedlist/my_list.zig" },
// Source File: "chapter_stack_and_queue/stack.zig"
// Run Command: zig build run_stack
.{
.name = "stack",
.path = "chapter_stack_and_queue/stack.zig"
},
// Run Command: zig build run_stack -Doptimize=ReleaseFast
.{ .name = "stack", .path = "chapter_stack_and_queue/stack.zig" },
// Source File: "chapter_stack_and_queue/linkedlist_stack.zig"
// Run Command: zig build run_linkedlist_stack
.{
.name = "linkedlist_stack",
.path = "chapter_stack_and_queue/linkedlist_stack.zig"
},
// Run Command: zig build run_linkedlist_stack -Doptimize=ReleaseFast
.{ .name = "linkedlist_stack", .path = "chapter_stack_and_queue/linkedlist_stack.zig" },
// Source File: "chapter_stack_and_queue/array_stack.zig"
// Run Command: zig build run_array_stack
.{
.name = "array_stack",
.path = "chapter_stack_and_queue/array_stack.zig"
},
// Run Command: zig build run_array_stack -Doptimize=ReleaseFast
.{ .name = "array_stack", .path = "chapter_stack_and_queue/array_stack.zig" },
// Source File: "chapter_stack_and_queue/queue.zig"
// Run Command: zig build run_queue
.{
.name = "queue",
.path = "chapter_stack_and_queue/queue.zig"
},
// Run Command: zig build run_queue -Doptimize=ReleaseFast
.{ .name = "queue", .path = "chapter_stack_and_queue/queue.zig" },
// Source File: "chapter_stack_and_queue/array_queue.zig"
// Run Command: zig build run_array_queue
.{
.name = "array_queue",
.path = "chapter_stack_and_queue/array_queue.zig"
},
// Run Command: zig build run_array_queue -Doptimize=ReleaseFast
.{ .name = "array_queue", .path = "chapter_stack_and_queue/array_queue.zig" },
// Source File: "chapter_stack_and_queue/linkedlist_queue.zig"
// Run Command: zig build run_linkedlist_queue
.{
.name = "linkedlist_queue",
.path = "chapter_stack_and_queue/linkedlist_queue.zig"
},
// Run Command: zig build run_linkedlist_queue -Doptimize=ReleaseFast
.{ .name = "linkedlist_queue", .path = "chapter_stack_and_queue/linkedlist_queue.zig" },
// Source File: "chapter_stack_and_queue/deque.zig"
// Run Command: zig build run_deque
.{
.name = "deque",
.path = "chapter_stack_and_queue/deque.zig"
},
// Run Command: zig build run_deque -Doptimize=ReleaseFast
.{ .name = "deque", .path = "chapter_stack_and_queue/deque.zig" },
// Source File: "chapter_stack_and_queue/linkedlist_deque.zig"
// Run Command: zig build run_linkedlist_deque
.{
.name = "linkedlist_deque",
.path = "chapter_stack_and_queue/linkedlist_deque.zig"
},
// Run Command: zig build run_linkedlist_deque -Doptimize=ReleaseFast
.{ .name = "linkedlist_deque", .path = "chapter_stack_and_queue/linkedlist_deque.zig" },
// Source File: "chapter_hashing/hash_map.zig"
// Run Command: zig build run_hash_map
.{
.name = "hash_map",
.path = "chapter_hashing/hash_map.zig"
},
// Run Command: zig build run_hash_map -Doptimize=ReleaseFast
.{ .name = "hash_map", .path = "chapter_hashing/hash_map.zig" },
// Source File: "chapter_hashing/array_hash_map.zig"
// Run Command: zig build run_array_hash_map
.{
.name = "array_hash_map",
.path = "chapter_hashing/array_hash_map.zig"
},
// Run Command: zig build run_array_hash_map -Doptimize=ReleaseFast
.{ .name = "array_hash_map", .path = "chapter_hashing/array_hash_map.zig" },
// Source File: "chapter_tree/binary_tree.zig"
// Run Command: zig build run_binary_tree
.{
.name = "binary_tree",
.path = "chapter_tree/binary_tree.zig"
},
// Run Command: zig build run_binary_tree -Doptimize=ReleaseFast
.{ .name = "binary_tree", .path = "chapter_tree/binary_tree.zig" },
// Source File: "chapter_tree/binary_tree_bfs.zig"
// Run Command: zig build run_binary_tree_bfs
.{
.name = "binary_tree_bfs",
.path = "chapter_tree/binary_tree_bfs.zig"
},
// Run Command: zig build run_binary_tree_bfs -Doptimize=ReleaseFast
.{ .name = "binary_tree_bfs", .path = "chapter_tree/binary_tree_bfs.zig" },
// Source File: "chapter_tree/binary_tree_dfs.zig"
// Run Command: zig build run_binary_tree_dfs
.{
.name = "binary_tree_dfs",
.path = "chapter_tree/binary_tree_dfs.zig"
},
// Run Command: zig build run_binary_tree_dfs -Doptimize=ReleaseFast
.{ .name = "binary_tree_dfs", .path = "chapter_tree/binary_tree_dfs.zig" },
// Source File: "chapter_tree/binary_search_tree.zig"
// Run Command: zig build run_binary_search_tree
.{
.name = "binary_search_tree",
.path = "chapter_tree/binary_search_tree.zig"
},
// Run Command: zig build run_binary_search_tree -Doptimize=ReleaseFast
.{ .name = "binary_search_tree", .path = "chapter_tree/binary_search_tree.zig" },
// Source File: "chapter_tree/avl_tree.zig"
// Run Command: zig build run_avl_tree
.{
.name = "avl_tree",
.path = "chapter_tree/avl_tree.zig"
},
// Run Command: zig build run_avl_tree -Doptimize=ReleaseFast
.{ .name = "avl_tree", .path = "chapter_tree/avl_tree.zig" },
// Source File: "chapter_heap/heap.zig"
// Run Command: zig build run_heap
.{
.name = "heap",
.path = "chapter_heap/heap.zig"
},
// Run Command: zig build run_heap -Doptimize=ReleaseFast
.{ .name = "heap", .path = "chapter_heap/heap.zig" },
// Source File: "chapter_heap/my_heap.zig"
// Run Command: zig build run_my_heap
.{
.name = "my_heap",
.path = "chapter_heap/my_heap.zig"
},
// Run Command: zig build run_my_heap -Doptimize=ReleaseFast
.{ .name = "my_heap", .path = "chapter_heap/my_heap.zig" },
// Source File: "chapter_searching/linear_search.zig"
// Run Command: zig build run_linear_search
.{
.name = "linear_search",
.path = "chapter_searching/linear_search.zig"
},
// Run Command: zig build run_linear_search -Doptimize=ReleaseFast
.{ .name = "linear_search", .path = "chapter_searching/linear_search.zig" },
// Source File: "chapter_searching/binary_search.zig"
// Run Command: zig build run_binary_search
.{
.name = "binary_search",
.path = "chapter_searching/binary_search.zig"
},
// Run Command: zig build run_binary_search -Doptimize=ReleaseFast
.{ .name = "binary_search", .path = "chapter_searching/binary_search.zig" },
// Source File: "chapter_searching/hashing_search.zig"
// Run Command: zig build run_hashing_search
.{
.name = "hashing_search",
.path = "chapter_searching/hashing_search.zig"
},
// Run Command: zig build run_hashing_search -Doptimize=ReleaseFast
.{ .name = "hashing_search", .path = "chapter_searching/hashing_search.zig" },
// Source File: "chapter_searching/two_sum.zig"
// Run Command: zig build run_two_sum
.{
.name = "two_sum",
.path = "chapter_searching/two_sum.zig"
},
// Run Command: zig build run_two_sum -Doptimize=ReleaseFast
.{ .name = "two_sum", .path = "chapter_searching/two_sum.zig" },
// Source File: "chapter_sorting/bubble_sort.zig"
// Run Command: zig build run_bubble_sort
.{
.name = "bubble_sort",
.path = "chapter_sorting/bubble_sort.zig"
},
// Run Command: zig build run_bubble_sort -Doptimize=ReleaseFast
.{ .name = "bubble_sort", .path = "chapter_sorting/bubble_sort.zig" },
// Source File: "chapter_sorting/insertion_sort.zig"
// Run Command: zig build run_insertion_sort
.{
.name = "insertion_sort",
.path = "chapter_sorting/insertion_sort.zig"
},
// Run Command: zig build run_insertion_sort -Doptimize=ReleaseFast
.{ .name = "insertion_sort", .path = "chapter_sorting/insertion_sort.zig" },
// Source File: "chapter_sorting/quick_sort.zig"
// Run Command: zig build run_quick_sort
.{
.name = "quick_sort",
.path = "chapter_sorting/quick_sort.zig"
},
// Run Command: zig build run_quick_sort -Doptimize=ReleaseFast
.{ .name = "quick_sort", .path = "chapter_sorting/quick_sort.zig" },
// Source File: "chapter_sorting/merge_sort.zig"
// Run Command: zig build run_merge_sort
.{
.name = "merge_sort",
.path = "chapter_sorting/merge_sort.zig"
},
// Run Command: zig build run_merge_sort -Doptimize=ReleaseFast
.{ .name = "merge_sort", .path = "chapter_sorting/merge_sort.zig" },
// Source File: "chapter_sorting/radix_sort.zig"
// Run Command: zig build run_radix_sort
.{
.name = "radix_sort",
.path = "chapter_sorting/radix_sort.zig"
},
// Run Command: zig build run_radix_sort -Doptimize=ReleaseFast
.{ .name = "radix_sort", .path = "chapter_sorting/radix_sort.zig" },
};
inline for (group_name_path) |name_path| {

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@ -63,7 +63,7 @@ pub fn traverse(nums: []i32) void {
// 在数组中查找指定元素
pub fn find(nums: []i32, target: i32) i32 {
for (nums, 0..) |num, i| {
if (num == target) return @intCast(i32, i);
if (num == target) return @intCast(i);
}
return -1;
}

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@ -54,7 +54,7 @@ fn quadratic(n: i32) i32 {
fn bubbleSort(nums: []i32) i32 {
var count: i32 = 0; // 计数器
// 外循环:未排序区间为 [0, i]
var i: i32 = @intCast(i32, nums.len ) - 1;
var i: i32 = @as(i32, @intCast(nums.len)) - 1;
while (i > 0) : (i -= 1) {
var j: usize = 0;
// 内循环:将未排序区间 [0, i] 中的最大元素交换至该区间的最右端
@ -154,7 +154,7 @@ pub fn main() !void {
count = quadratic(n);
std.debug.print("平方阶的计算操作数量 = {}\n", .{count});
for (&nums, 0..) |*num, i| {
num.* = n - @intCast(i32, i); // [n,n-1,...,2,1]
num.* = n - @as(i32, @intCast(i)); // [n,n-1,...,2,1]
}
count = bubbleSort(&nums);
std.debug.print("平方阶(冒泡排序)的计算操作数量 = {}\n", .{count});

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@ -10,7 +10,7 @@ pub fn randomNumbers(comptime n: usize) [n]i32 {
var nums: [n]i32 = undefined;
// 生成数组 nums = { 1, 2, 3, ..., n }
for (&nums, 0..) |*num, i| {
num.* = @intCast(i32, i) + 1;
num.* = @as(i32, @intCast(i)) + 1;
}
// 随机打乱数组元素
const rand = std.crypto.random;
@ -23,7 +23,7 @@ pub fn findOne(nums: []i32) i32 {
for (nums, 0..) |num, i| {
// 当元素 1 在数组头部时,达到最佳时间复杂度 O(1)
// 当元素 1 在数组尾部时,达到最差时间复杂度 O(n)
if (num == 1) return @intCast(i32, i);
if (num == 1) return @intCast(i);
}
return -1;
}

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@ -18,7 +18,7 @@ fn binarySearch(comptime T: type, nums: std.ArrayList(T), target: T) T {
} else if (nums.items[m] > target) { // 此情况说明 target 在区间 [i, m-1] 中
j = m - 1;
} else { // 找到目标元素,返回其索引
return @intCast(T, m);
return @intCast(m);
}
}
// 未找到目标元素,返回 -1
@ -38,7 +38,7 @@ fn binarySearchLCRO(comptime T: type, nums: std.ArrayList(T), target: T) T {
} else if (nums.items[m] > target) { // 此情况说明 target 在区间 [i, m) 中
j = m;
} else { // 找到目标元素,返回其索引
return @intCast(T, m);
return @intCast(m);
}
}
// 未找到目标元素,返回 -1

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@ -31,7 +31,7 @@ pub fn main() !void {
var map = std.AutoHashMap(i32, i32).init(std.heap.page_allocator);
defer map.deinit();
for (nums, 0..) |num, i| {
try map.put(num, @intCast(i32, i)); // key: 元素value: 索引
try map.put(num, @as(i32, @intCast(i))); // key: 元素value: 索引
}
var index = hashingSearchArray(i32, map, target);
std.debug.print("目标元素 3 的索引 = {}\n", .{index});

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@ -11,7 +11,7 @@ fn linearSearchArray(comptime T: type, nums: std.ArrayList(T), target: T) T {
for (nums.items, 0..) |num, i| {
// 找到目标元素, 返回其索引
if (num == target) {
return @intCast(T, i);
return @intCast(i);
}
}
// 未找到目标元素,返回 -1

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@ -14,7 +14,7 @@ pub fn twoSumBruteForce(nums: []i32, target: i32) ?[2]i32 {
var j = i + 1;
while (j < size) : (j += 1) {
if (nums[i] + nums[j] == target) {
return [_]i32{@intCast(i32, i), @intCast(i32, j)};
return [_]i32{@intCast(i), @intCast(j)};
}
}
}
@ -31,9 +31,9 @@ pub fn twoSumHashTable(nums: []i32, target: i32) !?[2]i32 {
// 单层循环,时间复杂度 O(n)
while (i < size) : (i += 1) {
if (dic.contains(target - nums[i])) {
return [_]i32{dic.get(target - nums[i]).?, @intCast(i32, i)};
return [_]i32{dic.get(target - nums[i]).?, @intCast(i)};
}
try dic.put(nums[i], @intCast(i32, i));
try dic.put(nums[i], @intCast(i));
}
return null;
}

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@ -22,7 +22,7 @@ fn countingSortDigit(nums: []i32, exp: i32) !void {
var n = nums.len;
// 统计 0~9 各数字的出现次数
for (nums) |num| {
var d = @bitCast(u32, digit(num, exp)); // 获取 nums[i] 第 k 位,记为 d
var d: u32 = @bitCast(digit(num, exp)); // 获取 nums[i] 第 k 位,记为 d
counter[d] += 1; // 统计数字 d 的出现次数
}
// 求前缀和,将“出现个数”转换为“数组索引”
@ -34,7 +34,7 @@ fn countingSortDigit(nums: []i32, exp: i32) !void {
var res = try mem_allocator.alloc(i32, n);
i = n - 1;
while (i >= 0) : (i -= 1) {
var d = @bitCast(u32, digit(nums[i], exp));
var d: u32 = @bitCast(digit(nums[i], exp));
var j = counter[d] - 1; // 获取 d 在数组中的索引 j
res[j] = nums[i]; // 将当前元素填入索引 j
counter[d] -= 1; // 将 d 的数量减 1

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@ -38,7 +38,7 @@ pub fn AVLTree(comptime T: type) type {
// 更新节点高度
fn updateHeight(self: *Self, node: ?*inc.TreeNode(T)) void {
// 节点高度等于最高子树高度 + 1
node.?.height = std.math.max(self.height(node.?.left), self.height(node.?.right)) + 1;
node.?.height = @max(self.height(node.?.left), self.height(node.?.right)) + 1;
}
// 获取平衡因子