Feat: add rust codes for chapter searching (#710)

pull/711/head
Night Cruising 1 year ago committed by GitHub
parent d37b795ef2
commit 95bc0ffdb2
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@ -114,6 +114,11 @@ path = "chapter_searching/binary_search.rs"
name = "binary_search_edge"
path = "chapter_searching/binary_search_edge.rs"
# Run Command: cargo run --bin binary_search_insertion
[[bin]]
name = "binary_search_insertion"
path = "chapter_searching/binary_search_insertion.rs"
# Run Command: cargo run --bin bubble_sort
[[bin]]
name = "bubble_sort"

@ -0,0 +1,51 @@
/*
* File: binary_search_edge.rs
* Created Time: 2023-08-30
* Author: night-cruise (2586447362@qq.com)
*/
mod binary_search_insertion;
use binary_search_insertion::binary_search_insertion;
/* 二分查找最左一个 target */
fn binary_search_left_edge(nums: &[i32], target: i32) -> i32 {
// 等价于查找 target 的插入点
let i = binary_search_insertion(nums, target);
// 未找到 target ,返回 -1
if i == nums.len() as i32 || nums[i as usize] != target {
return -1;
}
// 找到 target ,返回索引 i
i
}
/* 二分查找最右一个 target */
fn binary_search_right_edge(nums: &[i32], target: i32) -> i32 {
// 转化为查找最左一个 target + 1
let i = binary_search_insertion(nums, target + 1);
// j 指向最右一个 target i 指向首个大于 target 的元素
let j = i - 1;
// 未找到 target ,返回 -1
if j == -1 || nums[j as usize] != target {
return -1;
}
// 找到 target ,返回索引 j
j
}
/* Driver Code */
fn main() {
// 包含重复元素的数组
let nums = [1, 3, 6, 6, 6, 6, 6, 10, 12, 15];
println!("\n数组 nums = {:?}", nums);
// 二分查找左边界和右边界
for target in [6, 7] {
let index = binary_search_left_edge(&nums, target);
println!("最左一个元素 {} 的索引为 {}", target, index);
let index = binary_search_right_edge(&nums, target);
println!("最右一个元素 {} 的索引为 {}", target, index);
}
}

@ -0,0 +1,62 @@
/*
* File: binary_search_insertion.rs
* Created Time: 2023-08-30
* Author: night-cruise (2586447362@qq.com)
*/
#![allow(unused)]
/* 二分查找插入点(无重复元素) */
fn binary_search_insertion_simple(nums: &[i32], target: i32) -> i32 {
let (mut i, mut j) = (0, nums.len() as i32 - 1); // 初始化双闭区间 [0, n-1]
while i <= j {
let m = i + (j - i) / 2; // 计算中点索引 m
if nums[m as usize] < target {
i = m + 1; // target 在区间 [m+1, j] 中
} else if nums[m as usize] > target {
j = m - 1; // target 在区间 [i, m-1] 中
} else {
return m;
}
}
// 未找到 target ,返回插入点 i
i
}
/* 二分查找插入点(存在重复元素) */
pub fn binary_search_insertion(nums: &[i32], target: i32) -> i32 {
let (mut i, mut j) = (0, nums.len() as i32 - 1); // 初始化双闭区间 [0, n-1]
while i <= j {
let m = i + (j - i) / 2; // 计算中点索引 m
if nums[m as usize] < target {
i = m + 1; // target 在区间 [m+1, j] 中
} else if nums[m as usize] > target {
j = m - 1; // target 在区间 [i, m-1] 中
} else {
j = m - 1; // 首个小于 target 的元素在区间 [i, m-1] 中
}
}
// 返回插入点 i
i
}
/* Driver Code */
fn main() {
// 无重复元素的数组
let nums = [1, 3, 6, 8, 12, 15, 23, 26, 31, 35];
println!("\n数组 nums = {:?}", nums);
// 二分查找插入点
for target in [6, 9] {
let index = binary_search_insertion_simple(&nums, target);
println!("元素 {} 的插入点的索引为 {}", target, index);
}
// 包含重复元素的数组
let nums = [1, 3, 6, 6, 6, 6, 6, 10, 12, 15];
println!("\n数组 nums = {:?}", nums);
// 二分查找插入点
for target in [2, 6, 20] {
let index = binary_search_insertion(&nums, target);
println!("元素 {} 的插入点的索引为 {}", target, index);
}
}
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