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https://github.com/krahets/hello-algo.git
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[Rust] No need to use mut iter (#1356)
* No need to use mut iter * Update iter
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ebff1cce9f
commit
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2 changed files with 10 additions and 12 deletions
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@ -12,7 +12,7 @@ fn bucket_sort(nums: &mut [f64]) {
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let k = nums.len() / 2;
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let mut buckets = vec![vec![]; k];
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// 1. 将数组元素分配到各个桶中
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for &mut num in &mut *nums {
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for &num in nums.iter() {
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// 输入数据范围为 [0, 1),使用 num * k 映射到索引范围 [0, k-1]
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let i = (num * k as f64) as usize;
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// 将 num 添加进桶 i
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@ -25,8 +25,8 @@ fn bucket_sort(nums: &mut [f64]) {
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}
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// 3. 遍历桶合并结果
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let mut i = 0;
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for bucket in &mut buckets {
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for &mut num in bucket {
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for bucket in buckets.iter() {
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for &num in bucket.iter() {
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nums[i] = num;
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i += 1;
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}
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@ -10,11 +10,11 @@ include!("../include/include.rs");
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// 简单实现,无法用于排序对象
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fn counting_sort_naive(nums: &mut [i32]) {
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// 1. 统计数组最大元素 m
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let m = *nums.into_iter().max().unwrap();
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let m = *nums.iter().max().unwrap();
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// 2. 统计各数字的出现次数
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// counter[num] 代表 num 的出现次数
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let mut counter = vec![0; m as usize + 1];
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for &num in &*nums {
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for &num in nums.iter() {
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counter[num as usize] += 1;
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}
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// 3. 遍历 counter ,将各元素填入原数组 nums
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@ -31,16 +31,16 @@ fn counting_sort_naive(nums: &mut [i32]) {
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// 完整实现,可排序对象,并且是稳定排序
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fn counting_sort(nums: &mut [i32]) {
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// 1. 统计数组最大元素 m
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let m = *nums.into_iter().max().unwrap();
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let m = *nums.iter().max().unwrap() as usize;
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// 2. 统计各数字的出现次数
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// counter[num] 代表 num 的出现次数
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let mut counter = vec![0; m as usize + 1];
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for &num in &*nums {
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let mut counter = vec![0; m + 1];
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for &num in nums.iter() {
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counter[num as usize] += 1;
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}
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// 3. 求 counter 的前缀和,将“出现次数”转换为“尾索引”
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// 即 counter[num]-1 是 num 在 res 中最后一次出现的索引
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for i in 0..m as usize {
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for i in 0..m {
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counter[i + 1] += counter[i];
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}
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// 4. 倒序遍历 nums ,将各元素填入结果数组 res
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@ -53,9 +53,7 @@ fn counting_sort(nums: &mut [i32]) {
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counter[num as usize] -= 1; // 令前缀和自减 1 ,得到下次放置 num 的索引
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}
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// 使用结果数组 res 覆盖原数组 nums
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for i in 0..n {
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nums[i] = res[i];
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}
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nums.copy_from_slice(&res)
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}
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/* Driver Code */
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