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: n_queens.cs
* Created Time: 2023-05-04
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class n_queens {
/* Backtracking algorithm: N queens */
void Backtrack(int row, int n, List<List<string>> state, List<List<List<string>>> res,
bool[] cols, bool[] diags1, bool[] diags2) {
// When all rows are placed, record the solution
if (row == n) {
List<List<string>> copyState = [];
foreach (List<string> sRow in state) {
copyState.Add(new List<string>(sRow));
}
res.Add(copyState);
return;
}
// Traverse all columns
for (int col = 0; col < n; col++) {
// Calculate the main diagonal and anti-diagonal corresponding to this cell
int diag1 = row - col + n - 1;
int diag2 = row + col;
// Pruning: do not allow queens to exist in the column, main diagonal, and anti-diagonal of this cell
if (!cols[col] && !diags1[diag1] && !diags2[diag2]) {
// Attempt: place the queen in this cell
state[row][col] = "Q";
cols[col] = diags1[diag1] = diags2[diag2] = true;
// Place the next row
Backtrack(row + 1, n, state, res, cols, diags1, diags2);
// Backtrack: restore this cell to an empty cell
state[row][col] = "#";
cols[col] = diags1[diag1] = diags2[diag2] = false;
}
}
}
/* Solve N queens */
List<List<List<string>>> NQueens(int n) {
// Initialize an n*n chessboard, where 'Q' represents a queen and '#' represents an empty cell
List<List<string>> state = [];
for (int i = 0; i < n; i++) {
List<string> row = [];
for (int j = 0; j < n; j++) {
row.Add("#");
}
state.Add(row);
}
bool[] cols = new bool[n]; // Record whether there is a queen in the column
bool[] diags1 = new bool[2 * n - 1]; // Record whether there is a queen on the main diagonal
bool[] diags2 = new bool[2 * n - 1]; // Record whether there is a queen on the anti-diagonal
List<List<List<string>>> res = [];
Backtrack(0, n, state, res, cols, diags1, diags2);
return res;
}
[Test]
public void Test() {
int n = 4;
List<List<List<string>>> res = NQueens(n);
Console.WriteLine("Input board size is " + n);
Console.WriteLine("Total queen placement solutions: " + res.Count + " solutions");
foreach (List<List<string>> state in res) {
Console.WriteLine("--------------------");
foreach (List<string> row in state) {
PrintUtil.PrintList(row);
}
}
}
}
@@ -0,0 +1,53 @@
/**
* File: permutations_i.cs
* Created Time: 2023-04-24
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class permutations_i {
/* Backtracking algorithm: Permutations I */
void Backtrack(List<int> state, int[] choices, bool[] selected, List<List<int>> res) {
// When the state length equals the number of elements, record the solution
if (state.Count == choices.Length) {
res.Add(new List<int>(state));
return;
}
// Traverse all choices
for (int i = 0; i < choices.Length; i++) {
int choice = choices[i];
// Pruning: do not allow repeated selection of elements
if (!selected[i]) {
// Attempt: make choice, update state
selected[i] = true;
state.Add(choice);
// Proceed to the next round of selection
Backtrack(state, choices, selected, res);
// Backtrack: undo choice, restore to previous state
selected[i] = false;
state.RemoveAt(state.Count - 1);
}
}
}
/* Permutations I */
List<List<int>> PermutationsI(int[] nums) {
List<List<int>> res = [];
Backtrack([], nums, new bool[nums.Length], res);
return res;
}
[Test]
public void Test() {
int[] nums = [1, 2, 3];
List<List<int>> res = PermutationsI(nums);
Console.WriteLine("Input array nums = " + string.Join(", ", nums));
Console.WriteLine("All permutations res = ");
foreach (List<int> permutation in res) {
PrintUtil.PrintList(permutation);
}
}
}
@@ -0,0 +1,55 @@
/**
* File: permutations_ii.cs
* Created Time: 2023-04-24
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class permutations_ii {
/* Backtracking algorithm: Permutations II */
void Backtrack(List<int> state, int[] choices, bool[] selected, List<List<int>> res) {
// When the state length equals the number of elements, record the solution
if (state.Count == choices.Length) {
res.Add(new List<int>(state));
return;
}
// Traverse all choices
HashSet<int> duplicated = [];
for (int i = 0; i < choices.Length; i++) {
int choice = choices[i];
// Pruning: do not allow repeated selection of elements and do not allow repeated selection of equal elements
if (!selected[i] && !duplicated.Contains(choice)) {
// Attempt: make choice, update state
duplicated.Add(choice); // Record the selected element value
selected[i] = true;
state.Add(choice);
// Proceed to the next round of selection
Backtrack(state, choices, selected, res);
// Backtrack: undo choice, restore to previous state
selected[i] = false;
state.RemoveAt(state.Count - 1);
}
}
}
/* Permutations II */
List<List<int>> PermutationsII(int[] nums) {
List<List<int>> res = [];
Backtrack([], nums, new bool[nums.Length], res);
return res;
}
[Test]
public void Test() {
int[] nums = [1, 2, 2];
List<List<int>> res = PermutationsII(nums);
Console.WriteLine("Input array nums = " + string.Join(", ", nums));
Console.WriteLine("All permutations res = ");
foreach (List<int> permutation in res) {
PrintUtil.PrintList(permutation);
}
}
}
@@ -0,0 +1,37 @@
/**
* File: preorder_traversal_i_compact.cs
* Created Time: 2023-04-17
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class preorder_traversal_i_compact {
List<TreeNode> res = [];
/* Preorder traversal: Example 1 */
void PreOrder(TreeNode? root) {
if (root == null) {
return;
}
if (root.val == 7) {
// Record solution
res.Add(root);
}
PreOrder(root.left);
PreOrder(root.right);
}
[Test]
public void Test() {
TreeNode? root = TreeNode.ListToTree([1, 7, 3, 4, 5, 6, 7]);
Console.WriteLine("\nInitialize binary tree");
PrintUtil.PrintTree(root);
// Preorder traversal
PreOrder(root);
Console.WriteLine("\nOutput all nodes with value 7");
PrintUtil.PrintList(res.Select(p => p.val).ToList());
}
}
@@ -0,0 +1,44 @@
/**
* File: preorder_traversal_ii_compact.cs
* Created Time: 2023-04-17
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class preorder_traversal_ii_compact {
List<TreeNode> path = [];
List<List<TreeNode>> res = [];
/* Preorder traversal: Example 2 */
void PreOrder(TreeNode? root) {
if (root == null) {
return;
}
// Attempt
path.Add(root);
if (root.val == 7) {
// Record solution
res.Add(new List<TreeNode>(path));
}
PreOrder(root.left);
PreOrder(root.right);
// Backtrack
path.RemoveAt(path.Count - 1);
}
[Test]
public void Test() {
TreeNode? root = TreeNode.ListToTree([1, 7, 3, 4, 5, 6, 7]);
Console.WriteLine("\nInitialize binary tree");
PrintUtil.PrintTree(root);
// Preorder traversal
PreOrder(root);
Console.WriteLine("\nOutput all paths from root node to node 7");
foreach (List<TreeNode> path in res) {
PrintUtil.PrintList(path.Select(p => p.val).ToList());
}
}
}
@@ -0,0 +1,45 @@
/**
* File: preorder_traversal_iii_compact.cs
* Created Time: 2023-04-17
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class preorder_traversal_iii_compact {
List<TreeNode> path = [];
List<List<TreeNode>> res = [];
/* Preorder traversal: Example 3 */
void PreOrder(TreeNode? root) {
// Pruning
if (root == null || root.val == 3) {
return;
}
// Attempt
path.Add(root);
if (root.val == 7) {
// Record solution
res.Add(new List<TreeNode>(path));
}
PreOrder(root.left);
PreOrder(root.right);
// Backtrack
path.RemoveAt(path.Count - 1);
}
[Test]
public void Test() {
TreeNode? root = TreeNode.ListToTree([1, 7, 3, 4, 5, 6, 7]);
Console.WriteLine("\nInitialize binary tree");
PrintUtil.PrintTree(root);
// Preorder traversal
PreOrder(root);
Console.WriteLine("\nOutput all paths from root node to node 7, paths do not include nodes with value 3");
foreach (List<TreeNode> path in res) {
PrintUtil.PrintList(path.Select(p => p.val).ToList());
}
}
}
@@ -0,0 +1,72 @@
/**
* File: preorder_traversal_iii_template.cs
* Created Time: 2023-04-17
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class preorder_traversal_iii_template {
/* Check if the current state is a solution */
bool IsSolution(List<TreeNode> state) {
return state.Count != 0 && state[^1].val == 7;
}
/* Record solution */
void RecordSolution(List<TreeNode> state, List<List<TreeNode>> res) {
res.Add(new List<TreeNode>(state));
}
/* Check if the choice is valid under the current state */
bool IsValid(List<TreeNode> state, TreeNode choice) {
return choice != null && choice.val != 3;
}
/* Update state */
void MakeChoice(List<TreeNode> state, TreeNode choice) {
state.Add(choice);
}
/* Restore state */
void UndoChoice(List<TreeNode> state, TreeNode choice) {
state.RemoveAt(state.Count - 1);
}
/* Backtracking algorithm: Example 3 */
void Backtrack(List<TreeNode> state, List<TreeNode> choices, List<List<TreeNode>> res) {
// Check if it is a solution
if (IsSolution(state)) {
// Record solution
RecordSolution(state, res);
}
// Traverse all choices
foreach (TreeNode choice in choices) {
// Pruning: check if the choice is valid
if (IsValid(state, choice)) {
// Attempt: make choice, update state
MakeChoice(state, choice);
// Proceed to the next round of selection
Backtrack(state, [choice.left!, choice.right!], res);
// Backtrack: undo choice, restore to previous state
UndoChoice(state, choice);
}
}
}
[Test]
public void Test() {
TreeNode? root = TreeNode.ListToTree([1, 7, 3, 4, 5, 6, 7]);
Console.WriteLine("\nInitialize binary tree");
PrintUtil.PrintTree(root);
// Backtracking algorithm
List<List<TreeNode>> res = [];
List<TreeNode> choices = [root!];
Backtrack([], choices, res);
Console.WriteLine("\nOutput all paths from root node to node 7, requiring paths do not include nodes with value 3");
foreach (List<TreeNode> path in res) {
PrintUtil.PrintList(path.Select(p => p.val).ToList());
}
}
}
@@ -0,0 +1,55 @@
/**
* File: subset_sum_i.cs
* Created Time: 2023-06-25
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class subset_sum_i {
/* Backtracking algorithm: Subset sum I */
void Backtrack(List<int> state, int target, int[] choices, int start, List<List<int>> res) {
// When the subset sum equals target, record the solution
if (target == 0) {
res.Add(new List<int>(state));
return;
}
// Traverse all choices
// Pruning 2: start traversing from start to avoid generating duplicate subsets
for (int i = start; i < choices.Length; i++) {
// Pruning 1: if the subset sum exceeds target, end the loop directly
// This is because the array is sorted, and later elements are larger, so the subset sum will definitely exceed target
if (target - choices[i] < 0) {
break;
}
// Attempt: make choice, update target, start
state.Add(choices[i]);
// Proceed to the next round of selection
Backtrack(state, target - choices[i], choices, i, res);
// Backtrack: undo choice, restore to previous state
state.RemoveAt(state.Count - 1);
}
}
/* Solve subset sum I */
List<List<int>> SubsetSumI(int[] nums, int target) {
List<int> state = []; // State (subset)
Array.Sort(nums); // Sort nums
int start = 0; // Start point for traversal
List<List<int>> res = []; // Result list (subset list)
Backtrack(state, target, nums, start, res);
return res;
}
[Test]
public void Test() {
int[] nums = [3, 4, 5];
int target = 9;
List<List<int>> res = SubsetSumI(nums, target);
Console.WriteLine("Input array nums = " + string.Join(", ", nums) + ", target = " + target);
Console.WriteLine("All subsets with sum equal to " + target + " are res = ");
foreach (var subset in res) {
PrintUtil.PrintList(subset);
}
}
}
@@ -0,0 +1,53 @@
/**
* File: subset_sum_i_naive.cs
* Created Time: 2023-06-25
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class subset_sum_i_naive {
/* Backtracking algorithm: Subset sum I */
void Backtrack(List<int> state, int target, int total, int[] choices, List<List<int>> res) {
// When the subset sum equals target, record the solution
if (total == target) {
res.Add(new List<int>(state));
return;
}
// Traverse all choices
for (int i = 0; i < choices.Length; i++) {
// Pruning: if the subset sum exceeds target, skip this choice
if (total + choices[i] > target) {
continue;
}
// Attempt: make choice, update element sum total
state.Add(choices[i]);
// Proceed to the next round of selection
Backtrack(state, target, total + choices[i], choices, res);
// Backtrack: undo choice, restore to previous state
state.RemoveAt(state.Count - 1);
}
}
/* Solve subset sum I (including duplicate subsets) */
List<List<int>> SubsetSumINaive(int[] nums, int target) {
List<int> state = []; // State (subset)
int total = 0; // Subset sum
List<List<int>> res = []; // Result list (subset list)
Backtrack(state, target, total, nums, res);
return res;
}
[Test]
public void Test() {
int[] nums = [3, 4, 5];
int target = 9;
List<List<int>> res = SubsetSumINaive(nums, target);
Console.WriteLine("Input array nums = " + string.Join(", ", nums) + ", target = " + target);
Console.WriteLine("All subsets with sum equal to " + target + " are res = ");
foreach (var subset in res) {
PrintUtil.PrintList(subset);
}
Console.WriteLine("Please note that this method outputs results containing duplicate sets");
}
}
@@ -0,0 +1,60 @@
/**
* File: subset_sum_ii.cs
* Created Time: 2023-06-25
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_backtracking;
public class subset_sum_ii {
/* Backtracking algorithm: Subset sum II */
void Backtrack(List<int> state, int target, int[] choices, int start, List<List<int>> res) {
// When the subset sum equals target, record the solution
if (target == 0) {
res.Add(new List<int>(state));
return;
}
// Traverse all choices
// Pruning 2: start traversing from start to avoid generating duplicate subsets
// Pruning 3: start traversing from start to avoid repeatedly selecting the same element
for (int i = start; i < choices.Length; i++) {
// Pruning 1: if the subset sum exceeds target, end the loop directly
// This is because the array is sorted, and later elements are larger, so the subset sum will definitely exceed target
if (target - choices[i] < 0) {
break;
}
// Pruning 4: if this element equals the left element, it means this search branch is duplicate, skip it directly
if (i > start && choices[i] == choices[i - 1]) {
continue;
}
// Attempt: make choice, update target, start
state.Add(choices[i]);
// Proceed to the next round of selection
Backtrack(state, target - choices[i], choices, i + 1, res);
// Backtrack: undo choice, restore to previous state
state.RemoveAt(state.Count - 1);
}
}
/* Solve subset sum II */
List<List<int>> SubsetSumII(int[] nums, int target) {
List<int> state = []; // State (subset)
Array.Sort(nums); // Sort nums
int start = 0; // Start point for traversal
List<List<int>> res = []; // Result list (subset list)
Backtrack(state, target, nums, start, res);
return res;
}
[Test]
public void Test() {
int[] nums = [4, 4, 5];
int target = 9;
List<List<int>> res = SubsetSumII(nums, target);
Console.WriteLine("Input array nums = " + string.Join(", ", nums) + ", target = " + target);
Console.WriteLine("All subsets with sum equal to " + target + " are res = ");
foreach (var subset in res) {
PrintUtil.PrintList(subset);
}
}
}