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
@@ -0,0 +1,51 @@
/**
* File: bubble_sort.swift
* Created Time: 2023-01-29
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Bubble sort */
func bubbleSort(nums: inout [Int]) {
// Outer loop: unsorted range is [0, i]
for i in nums.indices.dropFirst().reversed() {
// 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.swapAt(j, j + 1)
}
}
}
}
/* Bubble sort (flag optimization) */
func bubbleSortWithFlag(nums: inout [Int]) {
// Outer loop: unsorted range is [0, i]
for i in nums.indices.dropFirst().reversed() {
var flag = false // Initialize flag
for j in 0 ..< i {
if nums[j] > nums[j + 1] {
// Swap nums[j] and nums[j + 1]
nums.swapAt(j, j + 1)
flag = true // Record element swap
}
}
if !flag { // No elements were swapped in this round of "bubbling", exit directly
break
}
}
}
@main
enum BubbleSort {
/* Driver Code */
static func main() {
var nums = [4, 1, 3, 1, 5, 2]
bubbleSort(nums: &nums)
print("After bubble sort, nums = \(nums)")
var nums1 = [4, 1, 3, 1, 5, 2]
bubbleSortWithFlag(nums: &nums1)
print("After bubble sort, nums1 = \(nums1)")
}
}
@@ -0,0 +1,43 @@
/**
* File: bucket_sort.swift
* Created Time: 2023-03-27
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Bucket sort */
func bucketSort(nums: inout [Double]) {
// Initialize k = n/2 buckets, expected to allocate 2 elements per bucket
let k = nums.count / 2
var buckets = (0 ..< k).map { _ in [Double]() }
// 1. Distribute array elements into various buckets
for num in nums {
// Input data range is [0, 1), use num * k to map to index range [0, k-1]
let i = Int(num * Double(k))
// Add num to bucket i
buckets[i].append(num)
}
// 2. Sort each bucket
for i in buckets.indices {
// Use built-in sorting function, can also replace with other sorting algorithms
buckets[i].sort()
}
// 3. Traverse buckets to merge results
var i = nums.startIndex
for bucket in buckets {
for num in bucket {
nums[i] = num
i += 1
}
}
}
@main
enum BucketSort {
/* Driver Code */
static func main() {
// Assume input data is floating point, interval [0, 1)
var nums = [0.49, 0.96, 0.82, 0.09, 0.57, 0.43, 0.91, 0.75, 0.15, 0.37]
bucketSort(nums: &nums)
print("After bucket sort, nums = \(nums)")
}
}
@@ -0,0 +1,70 @@
/**
* File: counting_sort.swift
* Created Time: 2023-03-22
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Counting sort */
// Simple implementation, cannot be used for sorting objects
func countingSortNaive(nums: inout [Int]) {
// 1. Count the maximum element m in the array
let m = nums.max()!
// 2. Count the occurrence of each number
// counter[num] represents the occurrence of num
var counter = Array(repeating: 0, count: m + 1)
for num in nums {
counter[num] += 1
}
// 3. Traverse counter, filling each element back into the original array nums
var i = 0
for num in 0 ..< m + 1 {
for _ in 0 ..< counter[num] {
nums[i] = num
i += 1
}
}
}
/* Counting sort */
// Complete implementation, can sort objects and is a stable sort
func countingSort(nums: inout [Int]) {
// 1. Count the maximum element m in the array
let m = nums.max()!
// 2. Count the occurrence of each number
// counter[num] represents the occurrence of num
var counter = Array(repeating: 0, count: m + 1)
for num in nums {
counter[num] += 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
var res = Array(repeating: 0, count: nums.count)
for i in nums.indices.reversed() {
let num = nums[i]
res[counter[num] - 1] = num // Place num at the corresponding index
counter[num] -= 1 // Decrement the prefix sum by 1, getting the next index to place num
}
// Use result array res to overwrite the original array nums
for i in nums.indices {
nums[i] = res[i]
}
}
@main
enum CountingSort {
/* Driver Code */
static func main() {
var nums = [1, 0, 1, 2, 0, 4, 0, 2, 2, 4]
countingSortNaive(nums: &nums)
print("After counting sort (cannot sort objects), nums = \(nums)")
var nums1 = [1, 0, 1, 2, 0, 4, 0, 2, 2, 4]
countingSort(nums: &nums1)
print("After counting sort, nums1 = \(nums1)")
}
}
@@ -0,0 +1,55 @@
/**
* File: heap_sort.swift
* Created Time: 2023-05-28
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Heap length is n, start heapifying node i, from top to bottom */
func siftDown(nums: inout [Int], n: Int, i: Int) {
var i = i
while true {
// 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
var 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.swapAt(i, ma)
// Loop downwards heapification
i = ma
}
}
/* Heap sort */
func heapSort(nums: inout [Int]) {
// Build heap operation: heapify all nodes except leaves
for i in stride(from: nums.count / 2 - 1, through: 0, by: -1) {
siftDown(nums: &nums, n: nums.count, i: i)
}
// Extract the largest element from the heap and repeat for n-1 rounds
for i in nums.indices.dropFirst().reversed() {
// Delete node
nums.swapAt(0, i)
// Start heapifying the root node, from top to bottom
siftDown(nums: &nums, n: i, i: 0)
}
}
@main
enum HeapSort {
/* Driver Code */
static func main() {
var nums = [4, 1, 3, 1, 5, 2]
heapSort(nums: &nums)
print("After heap sort, nums = \(nums)")
}
}
@@ -0,0 +1,30 @@
/**
* File: insertion_sort.swift
* Created Time: 2023-01-29
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Insertion sort */
func insertionSort(nums: inout [Int]) {
// Outer loop: sorted interval is [0, i-1]
for i in nums.indices.dropFirst() {
let base = nums[i]
var j = i - 1
// Inner loop: insert base into the correct position within the sorted interval [0, i-1]
while j >= 0, nums[j] > base {
nums[j + 1] = nums[j] // Move nums[j] to the right by one position
j -= 1
}
nums[j + 1] = base // Assign base to the correct position
}
}
@main
enum InsertionSort {
/* Driver Code */
static func main() {
var nums = [4, 1, 3, 1, 5, 2]
insertionSort(nums: &nums)
print("After insertion sort, nums = \(nums)")
}
}
@@ -0,0 +1,65 @@
/**
* File: merge_sort.swift
* Created Time: 2023-01-29
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Merge left subarray and right subarray */
func merge(nums: inout [Int], left: Int, mid: Int, right: Int) {
// Left subarray interval is [left, mid], right subarray interval is [mid+1, right]
// Create a temporary array tmp to store the merged results
var tmp = Array(repeating: 0, count: right - left + 1)
// Initialize the start indices of the left and right subarrays
var i = left, j = mid + 1, k = 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]
i += 1
k += 1
}
while j <= right {
tmp[k] = nums[j]
j += 1
k += 1
}
// Copy the elements from the temporary array tmp back to the original array nums at the corresponding interval
for k in tmp.indices {
nums[left + k] = tmp[k]
}
}
/* Merge sort */
func mergeSort(nums: inout [Int], left: Int, right: Int) {
// Termination condition
if left >= right { // Terminate recursion when subarray length is 1
return
}
// Divide and conquer stage
let mid = left + (right - left) / 2 // Calculate midpoint
mergeSort(nums: &nums, left: left, right: mid) // Recursively process the left subarray
mergeSort(nums: &nums, left: mid + 1, right: right) // Recursively process the right subarray
// Merge stage
merge(nums: &nums, left: left, mid: mid, right: right)
}
@main
enum MergeSort {
/* Driver Code */
static func main() {
/* Merge sort */
var nums = [7, 3, 2, 6, 0, 1, 5, 4]
mergeSort(nums: &nums, left: nums.startIndex, right: nums.endIndex - 1)
print("After merge sort, nums = \(nums)")
}
}
@@ -0,0 +1,114 @@
/**
* File: quick_sort.swift
* Created Time: 2023-01-29
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Quick sort class */
/* Sentinel partition */
func partition(nums: inout [Int], left: Int, right: Int) -> Int {
// Use nums[left] as the pivot
var i = left
var j = 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.swapAt(i, j) // Swap these two elements
}
nums.swapAt(i, left) // Swap the pivot to the boundary between the two subarrays
return i // Return the index of the pivot
}
/* Quick sort */
func quickSort(nums: inout [Int], left: Int, right: Int) {
// Terminate recursion when subarray length is 1
if left >= right {
return
}
// Sentinel partition
let pivot = partition(nums: &nums, left: left, right: right)
// Recursively process the left subarray and right subarray
quickSort(nums: &nums, left: left, right: pivot - 1)
quickSort(nums: &nums, left: pivot + 1, right: right)
}
/* Quick sort class (median pivot optimization) */
/* Select the median of three candidate elements */
func medianThree(nums: [Int], left: Int, mid: Int, right: Int) -> Int {
let l = nums[left]
let m = nums[mid]
let r = 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
}
return right
}
/* Sentinel partition (median of three) */
func partitionMedian(nums: inout [Int], left: Int, right: Int) -> Int {
// Select the median of three candidate elements
let med = medianThree(nums: nums, left: left, mid: left + (right - left) / 2, right: right)
// Swap the median to the array's leftmost position
nums.swapAt(left, med)
return partition(nums: &nums, left: left, right: right)
}
/* Quick sort (recursion depth optimization) */
func quickSortMedian(nums: inout [Int], left: Int, right: Int) {
// Terminate recursion when subarray length is 1
if left >= right {
return
}
// Sentinel partition
let pivot = partitionMedian(nums: &nums, left: left, right: right)
// Recursively process the left subarray and right subarray
quickSortMedian(nums: &nums, left: left, right: pivot - 1)
quickSortMedian(nums: &nums, left: pivot + 1, right: right)
}
/* Quick sort (recursion depth optimization) */
func quickSortTailCall(nums: inout [Int], left: Int, right: Int) {
var left = left
var right = right
// Terminate when subarray length is 1
while left < right {
// Sentinel partition operation
let pivot = partition(nums: &nums, left: left, right: right)
// Perform quick sort on the shorter of the two subarrays
if (pivot - left) < (right - pivot) {
quickSortTailCall(nums: &nums, left: left, right: pivot - 1) // Recursively sort the left subarray
left = pivot + 1 // Remaining unsorted interval is [pivot + 1, right]
} else {
quickSortTailCall(nums: &nums, left: pivot + 1, right: right) // Recursively sort the right subarray
right = pivot - 1 // Remaining unsorted interval is [left, pivot - 1]
}
}
}
@main
enum QuickSort {
/* Driver Code */
static func main() {
/* Quick sort */
var nums = [2, 4, 1, 0, 3, 5]
quickSort(nums: &nums, left: nums.startIndex, right: nums.endIndex - 1)
print("After quick sort, nums = \(nums)")
/* Quick sort (recursion depth optimization) */
var nums1 = [2, 4, 1, 0, 3, 5]
quickSortMedian(nums: &nums1, left: nums1.startIndex, right: nums1.endIndex - 1)
print("After quick sort (median pivot optimization), nums1 = \(nums1)")
/* Quick sort (recursion depth optimization) */
var nums2 = [2, 4, 1, 0, 3, 5]
quickSortTailCall(nums: &nums2, left: nums2.startIndex, right: nums2.endIndex - 1)
print("After quick sort (recursion depth optimization), nums2 = \(nums2)")
}
}
@@ -0,0 +1,79 @@
/**
* File: radix_sort.swift
* Created Time: 2023-01-29
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Get the k-th digit of element num, where exp = 10^(k-1) */
func digit(num: Int, exp: Int) -> Int {
// Passing exp instead of k can avoid repeated expensive exponentiation here
(num / exp) % 10
}
/* Counting sort (based on nums k-th digit) */
func countingSortDigit(nums: inout [Int], exp: Int) {
// Decimal digit range is 0~9, therefore need a bucket array of length 10
var counter = Array(repeating: 0, count: 10)
// Count the occurrence of digits 0~9
for i in nums.indices {
let d = digit(num: nums[i], exp: 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
var res = Array(repeating: 0, count: nums.count)
for i in nums.indices.reversed() {
let d = digit(num: nums[i], exp: 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
for i in nums.indices {
nums[i] = res[i]
}
}
/* Radix sort */
func radixSort(nums: inout [Int]) {
// Get the maximum element of the array, used to determine the maximum number of digits
var m = Int.min
for num in nums {
if num > m {
m = num
}
}
// Traverse from the lowest to the highest digit
for exp in sequence(first: 1, next: { m >= ($0 * 10) ? $0 * 10 : nil }) {
// Perform counting sort on the k-th digit of array elements
// k = 1 -> exp = 1
// k = 2 -> exp = 10
// i.e., exp = 10^(k-1)
countingSortDigit(nums: &nums, exp: exp)
}
}
@main
enum RadixSort {
/* Driver Code */
static func main() {
// Radix sort
var nums = [
10_546_151,
35_663_510,
42_865_989,
34_862_445,
81_883_077,
88_906_420,
72_429_244,
30_524_779,
82_060_337,
63_832_996,
]
radixSort(nums: &nums)
print("After radix sort, nums = \(nums)")
}
}
@@ -0,0 +1,31 @@
/**
* File: selection_sort.swift
* Created Time: 2023-05-28
* Author: nuomi1 (nuomi1@qq.com)
*/
/* Selection sort */
func selectionSort(nums: inout [Int]) {
// Outer loop: unsorted interval is [i, n-1]
for i in nums.indices.dropLast() {
// Inner loop: find the smallest element within the unsorted interval
var k = i
for j in nums.indices.dropFirst(i + 1) {
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.swapAt(i, k)
}
}
@main
enum SelectionSort {
/* Driver Code */
static func main() {
var nums = [4, 1, 3, 1, 5, 2]
selectionSort(nums: &nums)
print("After selection sort, nums = \(nums)")
}
}