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.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_sorting;
public class bubble_sort {
/* Bubble sort */
void BubbleSort(int[] nums) {
// Outer loop: unsorted range is [0, i]
for (int i = nums.Length - 1; i > 0; i--) {
// Inner loop: swap the largest element in the unsorted range [0, i] to the rightmost end of that range
for (int j = 0; j < i; j++) {
if (nums[j] > nums[j + 1]) {
// Swap nums[j] and nums[j + 1]
(nums[j + 1], nums[j]) = (nums[j], nums[j + 1]);
}
}
}
}
/* Bubble sort (flag optimization) */
void BubbleSortWithFlag(int[] nums) {
// Outer loop: unsorted range is [0, i]
for (int i = nums.Length - 1; i > 0; i--) {
bool flag = false; // Initialize flag
// Inner loop: swap the largest element in the unsorted range [0, i] to the rightmost end of that range
for (int j = 0; j < i; j++) {
if (nums[j] > nums[j + 1]) {
// Swap nums[j] and nums[j + 1]
(nums[j + 1], nums[j]) = (nums[j], nums[j + 1]);
flag = true; // Record element swap
}
}
if (!flag) break; // No elements were swapped in this round of "bubbling", exit directly
}
}
[Test]
public void Test() {
int[] nums = [4, 1, 3, 1, 5, 2];
BubbleSort(nums);
Console.WriteLine("After bubble sort, nums = " + string.Join(",", nums));
int[] nums1 = [4, 1, 3, 1, 5, 2];
BubbleSortWithFlag(nums1);
Console.WriteLine("After bubble sort completes, nums1 = " + string.Join(",", nums1));
}
}

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/**
* File: bucket_sort.cs
* Created Time: 2023-04-13
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_sorting;
public class bucket_sort {
/* Bucket sort */
void BucketSort(float[] nums) {
// Initialize k = n/2 buckets, expected to allocate 2 elements per bucket
int k = nums.Length / 2;
List<List<float>> buckets = [];
for (int i = 0; i < k; i++) {
buckets.Add([]);
}
// 1. Distribute array elements into various buckets
foreach (float num in nums) {
// Input data range is [0, 1), use num * k to map to index range [0, k-1]
int i = (int)(num * k);
// Add num to bucket i
buckets[i].Add(num);
}
// 2. Sort each bucket
foreach (List<float> bucket in buckets) {
// Use built-in sorting function, can also replace with other sorting algorithms
bucket.Sort();
}
// 3. Traverse buckets to merge results
int j = 0;
foreach (List<float> bucket in buckets) {
foreach (float num in bucket) {
nums[j++] = num;
}
}
}
[Test]
public void Test() {
// Assume input data is floating point, interval [0, 1)
float[] nums = [0.49f, 0.96f, 0.82f, 0.09f, 0.57f, 0.43f, 0.91f, 0.75f, 0.15f, 0.37f];
BucketSort(nums);
Console.WriteLine("After bucket sort completes, nums = " + string.Join(" ", nums));
}
}

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/**
* File: counting_sort.cs
* Created Time: 2023-04-13
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_sorting;
public class counting_sort {
/* Counting sort */
// Simple implementation, cannot be used for sorting objects
void CountingSortNaive(int[] nums) {
// 1. Count the maximum element m in the array
int m = 0;
foreach (int num in nums) {
m = Math.Max(m, num);
}
// 2. Count the occurrence of each number
// counter[num] represents the occurrence of num
int[] counter = new int[m + 1];
foreach (int num in nums) {
counter[num]++;
}
// 3. Traverse counter, filling each element back into the original array nums
int i = 0;
for (int num = 0; num < m + 1; num++) {
for (int j = 0; j < counter[num]; j++, i++) {
nums[i] = num;
}
}
}
/* Counting sort */
// Complete implementation, can sort objects and is a stable sort
void CountingSort(int[] nums) {
// 1. Count the maximum element m in the array
int m = 0;
foreach (int num in nums) {
m = Math.Max(m, num);
}
// 2. Count the occurrence of each number
// counter[num] represents the occurrence of num
int[] counter = new int[m + 1];
foreach (int num in nums) {
counter[num]++;
}
// 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 (int i = 0; i < m; i++) {
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
int n = nums.Length;
int[] res = new int[n];
for (int i = n - 1; i >= 0; i--) {
int num = nums[i];
res[counter[num] - 1] = num; // Place num at the corresponding index
counter[num]--; // Decrement the prefix sum by 1, getting the next index to place num
}
// Use result array res to overwrite the original array nums
for (int i = 0; i < n; i++) {
nums[i] = res[i];
}
}
[Test]
public void Test() {
int[] nums = [1, 0, 1, 2, 0, 4, 0, 2, 2, 4];
CountingSortNaive(nums);
Console.WriteLine("After counting sort (cannot sort objects) completes, nums = " + string.Join(" ", nums));
int[] nums1 = [1, 0, 1, 2, 0, 4, 0, 2, 2, 4];
CountingSort(nums1);
Console.WriteLine("After counting sort completes, nums1 = " + string.Join(" ", nums));
}
}

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/**
* File: heap_sort.cs
* Created Time: 2023-06-01
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_sorting;
public class heap_sort {
/* Heap length is n, start heapifying node i, from top to bottom */
void SiftDown(int[] nums, int n, int i) {
while (true) {
// If node i is largest or indices l, r are out of bounds, no need to continue heapify, break
int l = 2 * i + 1;
int r = 2 * i + 2;
int 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[ma], nums[i]) = (nums[i], nums[ma]);
// Loop downwards heapification
i = ma;
}
}
/* Heap sort */
void HeapSort(int[] nums) {
// Build heap operation: heapify all nodes except leaves
for (int i = nums.Length / 2 - 1; i >= 0; i--) {
SiftDown(nums, nums.Length, i);
}
// Extract the largest element from the heap and repeat for n-1 rounds
for (int i = nums.Length - 1; i > 0; i--) {
// Delete node
(nums[i], nums[0]) = (nums[0], nums[i]);
// Start heapifying the root node, from top to bottom
SiftDown(nums, i, 0);
}
}
[Test]
public void Test() {
int[] nums = [4, 1, 3, 1, 5, 2];
HeapSort(nums);
Console.WriteLine("After heap sort completes, nums = " + string.Join(" ", nums));
}
}

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/**
* File: insertion_sort.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_sorting;
public class insertion_sort {
/* Insertion sort */
void InsertionSort(int[] nums) {
// Outer loop: sorted interval is [0, i-1]
for (int i = 1; i < nums.Length; i++) {
int bas = nums[i], j = i - 1;
// Inner loop: insert base into the correct position within the sorted interval [0, i-1]
while (j >= 0 && nums[j] > bas) {
nums[j + 1] = nums[j]; // Move nums[j] to the right by one position
j--;
}
nums[j + 1] = bas; // Assign base to the correct position
}
}
[Test]
public void Test() {
int[] nums = [4, 1, 3, 1, 5, 2];
InsertionSort(nums);
Console.WriteLine("After insertion sort completes, nums = " + string.Join(",", nums));
}
}

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/**
* File: merge_sort.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_sorting;
public class merge_sort {
/* Merge left subarray and right subarray */
void Merge(int[] nums, int left, int mid, int right) {
// Left subarray interval is [left, mid], right subarray interval is [mid+1, right]
// Create a temporary array tmp to store the merged results
int[] tmp = new int[right - left + 1];
// Initialize the start indices of the left and right subarrays
int 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++];
else
tmp[k++] = nums[j++];
}
// Copy the remaining elements of the left and right subarrays into the temporary array
while (i <= mid) {
tmp[k++] = nums[i++];
}
while (j <= right) {
tmp[k++] = nums[j++];
}
// Copy the elements from the temporary array tmp back to the original array nums at the corresponding interval
for (k = 0; k < tmp.Length; ++k) {
nums[left + k] = tmp[k];
}
}
/* Merge sort */
void MergeSort(int[] nums, int left, int right) {
// Termination condition
if (left >= right) return; // Terminate recursion when subarray length is 1
// Divide and conquer stage
int mid = left + (right - left) / 2; // Calculate midpoint
MergeSort(nums, left, mid); // Recursively process the left subarray
MergeSort(nums, mid + 1, right); // Recursively process the right subarray
// Merge stage
Merge(nums, left, mid, right);
}
[Test]
public void Test() {
/* Merge sort */
int[] nums = [7, 3, 2, 6, 0, 1, 5, 4];
MergeSort(nums, 0, nums.Length - 1);
Console.WriteLine("After merge sort completes, nums = " + string.Join(",", nums));
}
}

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/**
* File: quick_sort.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_sorting;
class quickSort {
/* Swap elements */
static void Swap(int[] nums, int i, int j) {
(nums[j], nums[i]) = (nums[i], nums[j]);
}
/* Sentinel partition */
static int Partition(int[] nums, int left, int right) {
// Use nums[left] as the pivot
int i = left, j = right;
while (i < j) {
while (i < j && nums[j] >= nums[left])
j--; // Search from right to left for the first element smaller than the pivot
while (i < j && nums[i] <= nums[left])
i++; // Search from left to right for the first element greater than the pivot
Swap(nums, i, j); // Swap these two elements
}
Swap(nums, i, left); // Swap the pivot to the boundary between the two subarrays
return i; // Return the index of the pivot
}
/* Quick sort */
public static void QuickSort(int[] nums, int left, int right) {
// Terminate recursion when subarray length is 1
if (left >= right)
return;
// Sentinel partition
int pivot = Partition(nums, left, right);
// Recursively process the left subarray and right subarray
QuickSort(nums, left, pivot - 1);
QuickSort(nums, pivot + 1, right);
}
}
/* Quick sort class (median pivot optimization) */
class QuickSortMedian {
/* Swap elements */
static void Swap(int[] nums, int i, int j) {
(nums[j], nums[i]) = (nums[i], nums[j]);
}
/* Select the median of three candidate elements */
static int MedianThree(int[] nums, int left, int mid, int right) {
int l = nums[left], m = nums[mid], 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) */
static int Partition(int[] nums, int left, int right) {
// Select the median of three candidate elements
int med = MedianThree(nums, left, (left + right) / 2, right);
// Swap the median to the array's leftmost position
Swap(nums, left, med);
// Use nums[left] as the pivot
int i = left, j = right;
while (i < j) {
while (i < j && nums[j] >= nums[left])
j--; // Search from right to left for the first element smaller than the pivot
while (i < j && nums[i] <= nums[left])
i++; // Search from left to right for the first element greater than the pivot
Swap(nums, i, j); // Swap these two elements
}
Swap(nums, i, left); // Swap the pivot to the boundary between the two subarrays
return i; // Return the index of the pivot
}
/* Quick sort */
public static void QuickSort(int[] nums, int left, int right) {
// Terminate recursion when subarray length is 1
if (left >= right)
return;
// Sentinel partition
int pivot = Partition(nums, left, right);
// Recursively process the left subarray and right subarray
QuickSort(nums, left, pivot - 1);
QuickSort(nums, pivot + 1, right);
}
}
/* Quick sort class (recursion depth optimization) */
class QuickSortTailCall {
/* Swap elements */
static void Swap(int[] nums, int i, int j) {
(nums[j], nums[i]) = (nums[i], nums[j]);
}
/* Sentinel partition */
static int Partition(int[] nums, int left, int right) {
// Use nums[left] as the pivot
int i = left, j = right;
while (i < j) {
while (i < j && nums[j] >= nums[left])
j--; // Search from right to left for the first element smaller than the pivot
while (i < j && nums[i] <= nums[left])
i++; // Search from left to right for the first element greater than the pivot
Swap(nums, i, j); // Swap these two elements
}
Swap(nums, i, left); // Swap the pivot to the boundary between the two subarrays
return i; // Return the index of the pivot
}
/* Quick sort (recursion depth optimization) */
public static void QuickSort(int[] nums, int left, int right) {
// Terminate when subarray length is 1
while (left < right) {
// Sentinel partition operation
int pivot = Partition(nums, left, right);
// Perform quick sort on the shorter of the two subarrays
if (pivot - left < right - pivot) {
QuickSort(nums, left, pivot - 1); // Recursively sort the left subarray
left = pivot + 1; // Remaining unsorted interval is [pivot + 1, right]
} else {
QuickSort(nums, pivot + 1, right); // Recursively sort the right subarray
right = pivot - 1; // Remaining unsorted interval is [left, pivot - 1]
}
}
}
}
public class quick_sort {
[Test]
public void Test() {
/* Quick sort */
int[] nums = [2, 4, 1, 0, 3, 5];
quickSort.QuickSort(nums, 0, nums.Length - 1);
Console.WriteLine("After quick sort completes, nums = " + string.Join(",", nums));
/* Quick sort (recursion depth optimization) */
int[] nums1 = [2, 4, 1, 0, 3, 5];
QuickSortMedian.QuickSort(nums1, 0, nums1.Length - 1);
Console.WriteLine("After quick sort (median pivot optimization) completes, nums1 = " + string.Join(",", nums1));
/* Quick sort (recursion depth optimization) */
int[] nums2 = [2, 4, 1, 0, 3, 5];
QuickSortTailCall.QuickSort(nums2, 0, nums2.Length - 1);
Console.WriteLine("After quick sort (recursion depth optimization) completes, nums2 = " + string.Join(",", nums2));
}
}

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/**
* File: radix_sort.cs
* Created Time: 2023-04-13
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_sorting;
public class radix_sort {
/* Get the k-th digit of element num, where exp = 10^(k-1) */
int Digit(int num, int exp) {
// Passing exp instead of k can avoid repeated expensive exponentiation here
return (num / exp) % 10;
}
/* Counting sort (based on nums k-th digit) */
void CountingSortDigit(int[] nums, int exp) {
// Decimal digit range is 0~9, therefore need a bucket array of length 10
int[] counter = new int[10];
int n = nums.Length;
// Count the occurrence of digits 0~9
for (int i = 0; i < n; i++) {
int d = Digit(nums[i], exp); // Get the k-th digit of nums[i], noted as d
counter[d]++; // Count the occurrence of digit d
}
// Calculate prefix sum, converting "occurrence count" into "array index"
for (int i = 1; i < 10; i++) {
counter[i] += counter[i - 1];
}
// Traverse in reverse, based on bucket statistics, place each element into res
int[] res = new int[n];
for (int i = n - 1; i >= 0; i--) {
int d = Digit(nums[i], exp);
int 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]--; // Decrease the count of d by 1
}
// Use result to overwrite the original array nums
for (int i = 0; i < n; i++) {
nums[i] = res[i];
}
}
/* Radix sort */
void RadixSort(int[] nums) {
// Get the maximum element of the array, used to determine the maximum number of digits
int m = int.MinValue;
foreach (int num in nums) {
if (num > m) m = num;
}
// Traverse from the lowest to the highest digit
for (int exp = 1; exp <= m; exp *= 10) {
// 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, exp);
}
}
[Test]
public void Test() {
// Radix sort
int[] nums = [ 10546151, 35663510, 42865989, 34862445, 81883077,
88906420, 72429244, 30524779, 82060337, 63832996 ];
RadixSort(nums);
Console.WriteLine("After radix sort completes, nums = " + string.Join(" ", nums));
}
}

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/**
* File: selection_sort.cs
* Created Time: 2023-06-01
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_sorting;
public class selection_sort {
/* Selection sort */
void SelectionSort(int[] nums) {
int n = nums.Length;
// Outer loop: unsorted interval is [i, n-1]
for (int i = 0; i < n - 1; i++) {
// Inner loop: find the smallest element within the unsorted interval
int k = i;
for (int j = i + 1; j < n; j++) {
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[k], nums[i]) = (nums[i], nums[k]);
}
}
[Test]
public void Test() {
int[] nums = [4, 1, 3, 1, 5, 2];
SelectionSort(nums);
Console.WriteLine("After selection sort completes, nums = " + string.Join(" ", nums));
}
}