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 +1,59 @@
/**
* File: binary_search.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_searching;
public class binary_search {
/* Binary search (closed interval on both sides) */
int BinarySearch(int[] nums, int target) {
// Initialize closed interval [0, n-1], i.e., i, j point to the first and last elements of the array
int i = 0, j = nums.Length - 1;
// Loop, exit when the search interval is empty (empty when i > j)
while (i <= j) {
int m = i + (j - i) / 2; // Calculate the midpoint index m
if (nums[m] < target) // This means target is in the interval [m+1, j]
i = m + 1;
else if (nums[m] > target) // This means target is in the interval [i, m-1]
j = m - 1;
else // Found the target element, return its index
return m;
}
// Target element not found, return -1
return -1;
}
/* Binary search (left-closed right-open interval) */
int BinarySearchLCRO(int[] nums, int target) {
// Initialize left-closed right-open interval [0, n), i.e., i, j point to the first element and last element+1
int i = 0, j = nums.Length;
// Loop, exit when the search interval is empty (empty when i = j)
while (i < j) {
int m = i + (j - i) / 2; // Calculate the midpoint index m
if (nums[m] < target) // This means target is in the interval [m+1, j)
i = m + 1;
else if (nums[m] > target) // This means target is in the interval [i, m)
j = m;
else // Found the target element, return its index
return m;
}
// Target element not found, return -1
return -1;
}
[Test]
public void Test() {
int target = 6;
int[] nums = [1, 3, 6, 8, 12, 15, 23, 26, 31, 35];
/* Binary search (closed interval on both sides) */
int index = BinarySearch(nums, target);
Console.WriteLine("Index of target element 6 = " + index);
/* Binary search (left-closed right-open interval) */
index = BinarySearchLCRO(nums, target);
Console.WriteLine("Index of target element 6 = " + index);
}
}
@@ -0,0 +1,50 @@
/**
* File: binary_search_edge.cs
* Created Time: 2023-08-06
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_searching;
public class binary_search_edge {
/* Binary search for the leftmost target */
int BinarySearchLeftEdge(int[] nums, int target) {
// Equivalent to finding the insertion point of target
int i = binary_search_insertion.BinarySearchInsertion(nums, target);
// Target not found, return -1
if (i == nums.Length || nums[i] != target) {
return -1;
}
// Found target, return index i
return i;
}
/* Binary search for the rightmost target */
int BinarySearchRightEdge(int[] nums, int target) {
// Convert to finding the leftmost target + 1
int i = binary_search_insertion.BinarySearchInsertion(nums, target + 1);
// j points to the rightmost target, i points to the first element greater than target
int j = i - 1;
// Target not found, return -1
if (j == -1 || nums[j] != target) {
return -1;
}
// Found target, return index j
return j;
}
[Test]
public void Test() {
// Array with duplicate elements
int[] nums = [1, 3, 6, 6, 6, 6, 6, 10, 12, 15];
Console.WriteLine("\nArray nums = " + nums.PrintList());
// Binary search left and right boundaries
foreach (int target in new int[] { 6, 7 }) {
int index = BinarySearchLeftEdge(nums, target);
Console.WriteLine("Leftmost element " + target + " has index " + index);
index = BinarySearchRightEdge(nums, target);
Console.WriteLine("Rightmost element " + target + " has index " + index);
}
}
}
@@ -0,0 +1,64 @@
/**
* File: binary_search_insertion.cs
* Created Time: 2023-08-06
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_searching;
public class binary_search_insertion {
/* Binary search for insertion point (no duplicate elements) */
public static int BinarySearchInsertionSimple(int[] nums, int target) {
int i = 0, j = nums.Length - 1; // Initialize closed interval [0, n-1]
while (i <= j) {
int m = i + (j - i) / 2; // Calculate the midpoint index m
if (nums[m] < target) {
i = m + 1; // target is in the interval [m+1, j]
} else if (nums[m] > target) {
j = m - 1; // target is in the interval [i, m-1]
} else {
return m; // Found target, return insertion point m
}
}
// Target not found, return insertion point i
return i;
}
/* Binary search for insertion point (with duplicate elements) */
public static int BinarySearchInsertion(int[] nums, int target) {
int i = 0, j = nums.Length - 1; // Initialize closed interval [0, n-1]
while (i <= j) {
int m = i + (j - i) / 2; // Calculate the midpoint index m
if (nums[m] < target) {
i = m + 1; // target is in the interval [m+1, j]
} else if (nums[m] > target) {
j = m - 1; // target is in the interval [i, m-1]
} else {
j = m - 1; // The first element less than target is in the interval [i, m-1]
}
}
// Return insertion point i
return i;
}
[Test]
public void Test() {
// Array without duplicate elements
int[] nums = [1, 3, 6, 8, 12, 15, 23, 26, 31, 35];
Console.WriteLine("\nArray nums = " + nums.PrintList());
// Binary search for insertion point
foreach (int target in new int[] { 6, 9 }) {
int index = BinarySearchInsertionSimple(nums, target);
Console.WriteLine("Element " + target + "'s insertion point index is " + index);
}
// Array with duplicate elements
nums = [1, 3, 6, 6, 6, 6, 6, 10, 12, 15];
Console.WriteLine("\nArray nums = " + nums.PrintList());
// Binary search for insertion point
foreach (int target in new int[] { 2, 6, 20 }) {
int index = BinarySearchInsertion(nums, target);
Console.WriteLine("Element " + target + "'s insertion point index is " + index);
}
}
}
@@ -0,0 +1,50 @@
/**
* File: hashing_search.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_searching;
public class hashing_search {
/* Hash search (array) */
int HashingSearchArray(Dictionary<int, int> map, int target) {
// Hash table's key: target element, value: index
// If this key does not exist in the hash table, return -1
return map.GetValueOrDefault(target, -1);
}
/* Hash search (linked list) */
ListNode? HashingSearchLinkedList(Dictionary<int, ListNode> map, int target) {
// Hash table key: target node value, value: node object
// If key is not in hash table, return null
return map.GetValueOrDefault(target);
}
[Test]
public void Test() {
int target = 3;
/* Hash search (array) */
int[] nums = [1, 5, 3, 2, 4, 7, 5, 9, 10, 8];
// Initialize hash table
Dictionary<int, int> map = [];
for (int i = 0; i < nums.Length; i++) {
map[nums[i]] = i; // key: element, value: index
}
int index = HashingSearchArray(map, target);
Console.WriteLine("Index of target element 3 = " + index);
/* Hash search (linked list) */
ListNode? head = ListNode.ArrToLinkedList(nums);
// Initialize hash table
Dictionary<int, ListNode> map1 = [];
while (head != null) {
map1[head.val] = head; // key: node value, value: node
head = head.next;
}
ListNode? node = HashingSearchLinkedList(map1, target);
Console.WriteLine("Node object corresponding to target node value 3 is " + node);
}
}
@@ -0,0 +1,49 @@
/**
* File: linear_search.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_searching;
public class linear_search {
/* Linear search (array) */
int LinearSearchArray(int[] nums, int target) {
// Traverse array
for (int i = 0; i < nums.Length; i++) {
// Found the target element, return its index
if (nums[i] == target)
return i;
}
// Target element not found, return -1
return -1;
}
/* Linear search (linked list) */
ListNode? LinearSearchLinkedList(ListNode? head, int target) {
// Traverse the linked list
while (head != null) {
// Found the target node, return it
if (head.val == target)
return head;
head = head.next;
}
// Target node not found, return null
return null;
}
[Test]
public void Test() {
int target = 3;
/* Perform linear search in array */
int[] nums = [1, 5, 3, 2, 4, 7, 5, 9, 10, 8];
int index = LinearSearchArray(nums, target);
Console.WriteLine("Index of target element 3 = " + index);
/* Perform linear search in linked list */
ListNode? head = ListNode.ArrToLinkedList(nums);
ListNode? node = LinearSearchLinkedList(head, target);
Console.WriteLine("Node object corresponding to target node value 3 is " + node);
}
}
@@ -0,0 +1,52 @@
/**
* File: two_sum.cs
* Created Time: 2022-12-23
* Author: haptear (haptear@hotmail.com)
*/
namespace hello_algo.chapter_searching;
public class two_sum {
/* Method 1: Brute force enumeration */
int[] TwoSumBruteForce(int[] nums, int target) {
int size = nums.Length;
// Two nested loops, time complexity is O(n^2)
for (int i = 0; i < size - 1; i++) {
for (int j = i + 1; j < size; j++) {
if (nums[i] + nums[j] == target)
return [i, j];
}
}
return [];
}
/* Method 2: Auxiliary hash table */
int[] TwoSumHashTable(int[] nums, int target) {
int size = nums.Length;
// Auxiliary hash table, space complexity is O(n)
Dictionary<int, int> dic = [];
// Single loop, time complexity is O(n)
for (int i = 0; i < size; i++) {
if (dic.ContainsKey(target - nums[i])) {
return [dic[target - nums[i]], i];
}
dic.Add(nums[i], i);
}
return [];
}
[Test]
public void Test() {
// ======= Test Case =======
int[] nums = [2, 7, 11, 15];
int target = 13;
// ====== Driver Code ======
// Method 1
int[] res = TwoSumBruteForce(nums, target);
Console.WriteLine("Method 1 res = " + string.Join(",", res));
// Method 2
res = TwoSumHashTable(nums, target);
Console.WriteLine("Method 2 res = " + string.Join(",", res));
}
}