Translate all code to English (#1836)

* Review the EN heading format.

* Fix pythontutor headings.

* Fix pythontutor headings.

* bug fixes

* Fix headings in **/summary.md

* Revisit the CN-to-EN translation for Python code using Claude-4.5

* Revisit the CN-to-EN translation for Java code using Claude-4.5

* Revisit the CN-to-EN translation for Cpp code using Claude-4.5.

* Fix the dictionary.

* Fix cpp code translation for the multipart strings.

* Translate Go code to English.

* Update workflows to test EN code.

* Add EN translation for C.

* Add EN translation for CSharp.

* Add EN translation for Swift.

* Trigger the CI check.

* Revert.

* Update en/hash_map.md

* Add the EN version of Dart code.

* Add the EN version of Kotlin code.

* Add missing code files.

* Add the EN version of JavaScript code.

* Add the EN version of TypeScript code.

* Fix the workflows.

* Add the EN version of Ruby code.

* Add the EN version of Rust code.

* Update the CI check for the English version  code.

* Update Python CI check.

* Fix cmakelists for en/C code.

* Fix Ruby comments
This commit is contained in:
Yudong Jin
2025-12-31 07:44:52 +08:00
committed by GitHub
parent 45e1295241
commit 2778a6f9c7
1284 changed files with 71557 additions and 3275 deletions

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/*
* File: bubble_sort.rs
* Created Time: 2023-02-05
* Author: codingonion (coderonion@gmail.com)
*/
use hello_algo_rust::include::print_util;
/* Bubble sort */
fn bubble_sort(nums: &mut [i32]) {
// Outer loop: unsorted range is [0, i]
for i in (1..nums.len()).rev() {
// Inner loop: swap the largest element in the unsorted range [0, i] to the rightmost end of that range
for j in 0..i {
if nums[j] > nums[j + 1] {
// Swap nums[j] and nums[j + 1]
nums.swap(j, j + 1);
}
}
}
}
/* Bubble sort (flag optimization) */
fn bubble_sort_with_flag(nums: &mut [i32]) {
// Outer loop: unsorted range is [0, i]
for i in (1..nums.len()).rev() {
let mut flag = false; // Initialize flag
// Inner loop: swap the largest element in the unsorted range [0, i] to the rightmost end of that range
for j in 0..i {
if nums[j] > nums[j + 1] {
// Swap nums[j] and nums[j + 1]
nums.swap(j, j + 1);
flag = true; // Record element swap
}
}
if !flag {
break; // No elements were swapped in this round of "bubbling", exit directly
};
}
}
/* Driver Code */
pub fn main() {
let mut nums = [4, 1, 3, 1, 5, 2];
bubble_sort(&mut nums);
print!("After bubble sort completes, nums = ");
print_util::print_array(&nums);
let mut nums1 = [4, 1, 3, 1, 5, 2];
bubble_sort_with_flag(&mut nums1);
print!("\nAfter bubble sort, nums1 = ");
print_util::print_array(&nums1);
}

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/*
* File: bucket_sort.rs
* Created Time: 2023-07-09
* Author: night-cruise (2586447362@qq.com)
*/
use hello_algo_rust::include::print_util;
/* Bucket sort */
fn bucket_sort(nums: &mut [f64]) {
// Initialize k = n/2 buckets, expected to allocate 2 elements per bucket
let k = nums.len() / 2;
let mut buckets = vec![vec![]; k];
// 1. Distribute array elements into various buckets
for &num in nums.iter() {
// Input data range is [0, 1), use num * k to map to index range [0, k-1]
let i = (num * k as f64) as usize;
// Add num to bucket i
buckets[i].push(num);
}
// 2. Sort each bucket
for bucket in &mut buckets {
// Use built-in sorting function, can also replace with other sorting algorithms
bucket.sort_by(|a, b| a.partial_cmp(b).unwrap());
}
// 3. Traverse buckets to merge results
let mut i = 0;
for bucket in buckets.iter() {
for &num in bucket.iter() {
nums[i] = num;
i += 1;
}
}
}
/* Driver Code */
fn main() {
// Assume input data is floating point, interval [0, 1)
let mut nums = [0.49, 0.96, 0.82, 0.09, 0.57, 0.43, 0.91, 0.75, 0.15, 0.37];
bucket_sort(&mut nums);
print!("After bucket sort completes, nums = ");
print_util::print_array(&nums);
}

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/*
* File: counting_sort.rs
* Created Time: 2023-07-09
* Author: night-cruise (2586447362@qq.com)
*/
use hello_algo_rust::include::print_util;
/* Counting sort */
// Simple implementation, cannot be used for sorting objects
fn counting_sort_naive(nums: &mut [i32]) {
// 1. Count the maximum element m in the array
let m = *nums.iter().max().unwrap();
// 2. Count the occurrence of each number
// counter[num] represents the occurrence of num
let mut counter = vec![0; m as usize + 1];
for &num in nums.iter() {
counter[num as usize] += 1;
}
// 3. Traverse counter, filling each element back into the original array nums
let mut i = 0;
for num in 0..m + 1 {
for _ in 0..counter[num as usize] {
nums[i] = num;
i += 1;
}
}
}
/* Counting sort */
// Complete implementation, can sort objects and is a stable sort
fn counting_sort(nums: &mut [i32]) {
// 1. Count the maximum element m in the array
let m = *nums.iter().max().unwrap() as usize;
// 2. Count the occurrence of each number
// counter[num] represents the occurrence of num
let mut counter = vec![0; m + 1];
for &num in nums.iter() {
counter[num as usize] += 1;
}
// 3. Calculate the prefix sum of counter, converting "occurrence count" to "tail index"
// counter[num]-1 is the last index where num appears in res
for i in 0..m {
counter[i + 1] += counter[i];
}
// 4. Traverse nums in reverse order, placing each element into the result array res
// Initialize the array res to record results
let n = nums.len();
let mut res = vec![0; n];
for i in (0..n).rev() {
let num = nums[i];
res[counter[num as usize] - 1] = num; // Place num at the corresponding index
counter[num as usize] -= 1; // Decrement the prefix sum by 1, getting the next index to place num
}
// Use result array res to overwrite the original array nums
nums.copy_from_slice(&res)
}
/* Driver Code */
fn main() {
let mut nums = [1, 0, 1, 2, 0, 4, 0, 2, 2, 4];
counting_sort_naive(&mut nums);
print!("After counting sort (cannot sort objects) completes, nums = ");
print_util::print_array(&nums);
let mut nums1 = [1, 0, 1, 2, 0, 4, 0, 2, 2, 4];
counting_sort(&mut nums1);
print!("\nAfter counting sort, nums1 = ");
print_util::print_array(&nums1);
}

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/*
* File: heap_sort.rs
* Created Time: 2023-07-04
* Author: night-cruise (2586447362@qq.com)
*/
use hello_algo_rust::include::print_util;
/* Heap length is n, start heapifying node i, from top to bottom */
fn sift_down(nums: &mut [i32], n: usize, mut i: usize) {
loop {
// If node i is largest or indices l, r are out of bounds, no need to continue heapify, break
let l = 2 * i + 1;
let r = 2 * i + 2;
let mut ma = i;
if l < n && nums[l] > nums[ma] {
ma = l;
}
if r < n && nums[r] > nums[ma] {
ma = r;
}
// Swap two nodes
if ma == i {
break;
}
// Swap two nodes
nums.swap(i, ma);
// Loop downwards heapification
i = ma;
}
}
/* Heap sort */
fn heap_sort(nums: &mut [i32]) {
// Build heap operation: heapify all nodes except leaves
for i in (0..nums.len() / 2).rev() {
sift_down(nums, nums.len(), i);
}
// Extract the largest element from the heap and repeat for n-1 rounds
for i in (1..nums.len()).rev() {
// Delete node
nums.swap(0, i);
// Start heapifying the root node, from top to bottom
sift_down(nums, i, 0);
}
}
/* Driver Code */
fn main() {
let mut nums = [4, 1, 3, 1, 5, 2];
heap_sort(&mut nums);
print!("After heap sort completes, nums = ");
print_util::print_array(&nums);
}

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/*
* File: insertion_sort.rs
* Created Time: 2023-02-13
* Author: xBLACKICEx (xBLACKICEx@outlook.com)
*/
use hello_algo_rust::include::print_util;
/* Insertion sort */
fn insertion_sort(nums: &mut [i32]) {
// Outer loop: sorted interval is [0, i-1]
for i in 1..nums.len() {
let (base, mut j) = (nums[i], (i - 1) as i32);
// Inner loop: insert base into the correct position within the sorted interval [0, i-1]
while j >= 0 && nums[j as usize] > base {
nums[(j + 1) as usize] = nums[j as usize]; // Move nums[j] to the right by one position
j -= 1;
}
nums[(j + 1) as usize] = base; // Assign base to the correct position
}
}
/* Driver Code */
fn main() {
let mut nums = [4, 1, 3, 1, 5, 2];
insertion_sort(&mut nums);
print!("After insertion sort completes, nums = ");
print_util::print_array(&nums);
}

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/**
* File: merge_sort.rs
* Created Time: 2023-02-14
* Author: xBLACKICEx (xBLACKICEx@outlook.com)
*/
/* Merge left subarray and right subarray */
fn merge(nums: &mut [i32], left: usize, mid: usize, right: usize) {
// Left subarray interval is [left, mid], right subarray interval is [mid+1, right]
// Create a temporary array tmp to store the merged results
let tmp_size = right - left + 1;
let mut tmp = vec![0; tmp_size];
// Initialize the start indices of the left and right subarrays
let (mut i, mut j, mut k) = (left, mid + 1, 0);
// While both subarrays still have elements, compare and copy the smaller element into the temporary array
while i <= mid && j <= right {
if nums[i] <= nums[j] {
tmp[k] = nums[i];
i += 1;
} else {
tmp[k] = nums[j];
j += 1;
}
k += 1;
}
// Copy the remaining elements of the left and right subarrays into the temporary array
while i <= mid {
tmp[k] = nums[i];
k += 1;
i += 1;
}
while j <= right {
tmp[k] = nums[j];
k += 1;
j += 1;
}
// Copy the elements from the temporary array tmp back to the original array nums at the corresponding interval
for k in 0..tmp_size {
nums[left + k] = tmp[k];
}
}
/* Merge sort */
fn merge_sort(nums: &mut [i32], left: usize, right: usize) {
// Termination condition
if left >= right {
return; // Terminate recursion when subarray length is 1
}
// Divide and conquer stage
let mid = left + (right - left) / 2; // Calculate midpoint
merge_sort(nums, left, mid); // Recursively process the left subarray
merge_sort(nums, mid + 1, right); // Recursively process the right subarray
// Merge stage
merge(nums, left, mid, right);
}
/* Driver Code */
fn main() {
/* Merge sort */
let mut nums = [7, 3, 2, 6, 0, 1, 5, 4];
let right = nums.len() - 1;
merge_sort(&mut nums, 0, right);
println!("After merge sort, nums = {:?}", nums);
}

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/**
* File: quick_sort.rs
* Created Time: 2023-02-16
* Author: xBLACKICEx (xBLACKICE@outlook.com)
*/
/* Quick sort */
struct QuickSort;
impl QuickSort {
/* Sentinel partition */
fn partition(nums: &mut [i32], left: usize, right: usize) -> usize {
// Use nums[left] as the pivot
let (mut i, mut j) = (left, right);
while i < j {
while i < j && nums[j] >= nums[left] {
j -= 1; // Search from right to left for the first element smaller than the pivot
}
while i < j && nums[i] <= nums[left] {
i += 1; // Search from left to right for the first element greater than the pivot
}
nums.swap(i, j); // Swap these two elements
}
nums.swap(i, left); // Swap the pivot to the boundary between the two subarrays
i // Return the index of the pivot
}
/* Quick sort */
pub fn quick_sort(left: i32, right: i32, nums: &mut [i32]) {
// Terminate recursion when subarray length is 1
if left >= right {
return;
}
// Sentinel partition
let pivot = Self::partition(nums, left as usize, right as usize) as i32;
// Recursively process the left subarray and right subarray
Self::quick_sort(left, pivot - 1, nums);
Self::quick_sort(pivot + 1, right, nums);
}
}
/* Quick sort (recursion depth optimization) */
struct QuickSortMedian;
impl QuickSortMedian {
/* Select the median of three candidate elements */
fn median_three(nums: &mut [i32], left: usize, mid: usize, right: usize) -> usize {
let (l, m, r) = (nums[left], nums[mid], nums[right]);
if (l <= m && m <= r) || (r <= m && m <= l) {
return mid; // m is between l and r
}
if (m <= l && l <= r) || (r <= l && l <= m) {
return left; // l is between m and r
}
right
}
/* Sentinel partition (median of three) */
fn partition(nums: &mut [i32], left: usize, right: usize) -> usize {
// Select the median of three candidate elements
let med = Self::median_three(nums, left, (left + right) / 2, right);
// Swap the median to the array's leftmost position
nums.swap(left, med);
// Use nums[left] as the pivot
let (mut i, mut j) = (left, right);
while i < j {
while i < j && nums[j] >= nums[left] {
j -= 1; // Search from right to left for the first element smaller than the pivot
}
while i < j && nums[i] <= nums[left] {
i += 1; // Search from left to right for the first element greater than the pivot
}
nums.swap(i, j); // Swap these two elements
}
nums.swap(i, left); // Swap the pivot to the boundary between the two subarrays
i // Return the index of the pivot
}
/* Quick sort */
pub fn quick_sort(left: i32, right: i32, nums: &mut [i32]) {
// Terminate recursion when subarray length is 1
if left >= right {
return;
}
// Sentinel partition
let pivot = Self::partition(nums, left as usize, right as usize) as i32;
// Recursively process the left subarray and right subarray
Self::quick_sort(left, pivot - 1, nums);
Self::quick_sort(pivot + 1, right, nums);
}
}
/* Quick sort (recursion depth optimization) */
struct QuickSortTailCall;
impl QuickSortTailCall {
/* Sentinel partition */
fn partition(nums: &mut [i32], left: usize, right: usize) -> usize {
// Use nums[left] as the pivot
let (mut i, mut j) = (left, right);
while i < j {
while i < j && nums[j] >= nums[left] {
j -= 1; // Search from right to left for the first element smaller than the pivot
}
while i < j && nums[i] <= nums[left] {
i += 1; // Search from left to right for the first element greater than the pivot
}
nums.swap(i, j); // Swap these two elements
}
nums.swap(i, left); // Swap the pivot to the boundary between the two subarrays
i // Return the index of the pivot
}
/* Quick sort (recursion depth optimization) */
pub fn quick_sort(mut left: i32, mut right: i32, nums: &mut [i32]) {
// Terminate when subarray length is 1
while left < right {
// Sentinel partition operation
let pivot = Self::partition(nums, left as usize, right as usize) as i32;
// Perform quick sort on the shorter of the two subarrays
if pivot - left < right - pivot {
Self::quick_sort(left, pivot - 1, nums); // Recursively sort the left subarray
left = pivot + 1; // Remaining unsorted interval is [pivot + 1, right]
} else {
Self::quick_sort(pivot + 1, right, nums); // Recursively sort the right subarray
right = pivot - 1; // Remaining unsorted interval is [left, pivot - 1]
}
}
}
}
/* Driver Code */
fn main() {
/* Quick sort */
let mut nums = [2, 4, 1, 0, 3, 5];
QuickSort::quick_sort(0, (nums.len() - 1) as i32, &mut nums);
println!("After quick sort, nums = {:?}", nums);
/* Quick sort (recursion depth optimization) */
let mut nums = [2, 4, 1, 0, 3, 5];
QuickSortMedian::quick_sort(0, (nums.len() - 1) as i32, &mut nums);
println!("After quick sort (median pivot optimization), nums = {:?}", nums);
/* Quick sort (recursion depth optimization) */
let mut nums = [2, 4, 1, 0, 3, 5];
QuickSortTailCall::quick_sort(0, (nums.len() - 1) as i32, &mut nums);
println!("After quick sort (recursion depth optimization), nums = {:?}", nums);
}

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/*
* File: radix_sort.rs
* Created Time: 2023-07-09
* Author: night-cruise (2586447362@qq.com)
*/
use hello_algo_rust::include::print_util;
/* Get the k-th digit of element num, where exp = 10^(k-1) */
fn digit(num: i32, exp: i32) -> usize {
// Passing exp instead of k can avoid repeated expensive exponentiation here
return ((num / exp) % 10) as usize;
}
/* Counting sort (based on nums k-th digit) */
fn counting_sort_digit(nums: &mut [i32], exp: i32) {
// Decimal digit range is 0~9, therefore need a bucket array of length 10
let mut counter = [0; 10];
let n = nums.len();
// Count the occurrence of digits 0~9
for i in 0..n {
let d = digit(nums[i], exp); // Get the k-th digit of nums[i], noted as d
counter[d] += 1; // Count the occurrence of digit d
}
// Calculate prefix sum, converting "occurrence count" into "array index"
for i in 1..10 {
counter[i] += counter[i - 1];
}
// Traverse in reverse, based on bucket statistics, place each element into res
let mut res = vec![0; n];
for i in (0..n).rev() {
let d = digit(nums[i], exp);
let j = counter[d] - 1; // Get the index j for d in the array
res[j] = nums[i]; // Place the current element at index j
counter[d] -= 1; // Decrease the count of d by 1
}
// Use result to overwrite the original array nums
nums.copy_from_slice(&res);
}
/* Radix sort */
fn radix_sort(nums: &mut [i32]) {
// Get the maximum element of the array, used to determine the maximum number of digits
let m = *nums.into_iter().max().unwrap();
// Traverse from the lowest to the highest digit
let mut exp = 1;
while exp <= m {
counting_sort_digit(nums, exp);
exp *= 10;
}
}
/* Driver Code */
fn main() {
// Radix sort
let mut nums = [
10546151, 35663510, 42865989, 34862445, 81883077, 88906420, 72429244, 30524779, 82060337,
63832996,
];
radix_sort(&mut nums);
print!("After radix sort completes, nums = ");
print_util::print_array(&nums);
}

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/*
* File: selection_sort.rs
* Created Time: 2023-05-30
* Author: WSL0809 (wslzzy@outlook.com)
*/
use hello_algo_rust::include::print_util;
/* Selection sort */
fn selection_sort(nums: &mut [i32]) {
if nums.is_empty() {
return;
}
let n = nums.len();
// Outer loop: unsorted interval is [i, n-1]
for i in 0..n - 1 {
// Inner loop: find the smallest element within the unsorted interval
let mut k = i;
for j in i + 1..n {
if nums[j] < nums[k] {
k = j; // Record the index of the smallest element
}
}
// Swap the smallest element with the first element of the unsorted interval
nums.swap(i, k);
}
}
/* Driver Code */
pub fn main() {
let mut nums = [4, 1, 3, 1, 5, 2];
selection_sort(&mut nums);
print!("\nAfter selection sort, nums = ");
print_util::print_array(&nums);
}