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 +1,34 @@
// File: binary_search_recur.go
// Created Time: 2023-07-19
// Author: hongyun-robot (1836017030@qq.com)
package chapter_divide_and_conquer
/* Binary search: problem f(i, j) */
func dfs(nums []int, target, i, j int) int {
// If interval is empty, indicating no target element, return -1
if i > j {
return -1
}
// Calculate midpoint index
m := i + ((j - i) >> 1)
// Compare midpoint with target element
if nums[m] < target {
// If smaller, recurse on right half of array
// Recursion subproblem f(m+1, j)
return dfs(nums, target, m+1, j)
} else if nums[m] > target {
// If larger, recurse on left half of array
// Recursion subproblem f(i, m-1)
return dfs(nums, target, i, m-1)
} else {
// Found the target element, return its index
return m
}
}
/* Binary search */
func binarySearch(nums []int, target int) int {
n := len(nums)
return dfs(nums, target, 0, n-1)
}
@@ -0,0 +1,20 @@
// File: binary_search_recur_test.go
// Created Time: 2023-07-19
// Author: hongyun-robot (1836017030@qq.com)
package chapter_divide_and_conquer
import (
"fmt"
"testing"
)
func TestBinarySearch(t *testing.T) {
nums := []int{1, 3, 6, 8, 12, 15, 23, 26, 31, 35}
target := 6
noTarget := 99
targetIndex := binarySearch(nums, target)
fmt.Println("Index of target element 6 = ", targetIndex)
noTargetIndex := binarySearch(nums, noTarget)
fmt.Println("Index of non-existent target element = ", noTargetIndex)
}
@@ -0,0 +1,37 @@
// File: build_tree.go
// Created Time: 2023-07-20
// Author: hongyun-robot (1836017030@qq.com)
package chapter_divide_and_conquer
import . "github.com/krahets/hello-algo/pkg"
/* Build binary tree: divide and conquer */
func dfsBuildTree(preorder []int, inorderMap map[int]int, i, l, r int) *TreeNode {
// Terminate when the subtree interval is empty
if r-l < 0 {
return nil
}
// Initialize the root node
root := NewTreeNode(preorder[i])
// Query m to divide the left and right subtrees
m := inorderMap[preorder[i]]
// Subproblem: build the left subtree
root.Left = dfsBuildTree(preorder, inorderMap, i+1, l, m-1)
// Subproblem: build the right subtree
root.Right = dfsBuildTree(preorder, inorderMap, i+1+m-l, m+1, r)
// Return the root node
return root
}
/* Build binary tree */
func buildTree(preorder, inorder []int) *TreeNode {
// Initialize hash map, storing the mapping from inorder elements to indices
inorderMap := make(map[int]int, len(inorder))
for i := 0; i < len(inorder); i++ {
inorderMap[inorder[i]] = i
}
root := dfsBuildTree(preorder, inorderMap, 0, 0, len(inorder)-1)
return root
}
@@ -0,0 +1,25 @@
// File: build_tree_test.go
// Created Time: 2023-07-20
// Author: hongyun-robot (1836017030@qq.com)
package chapter_divide_and_conquer
import (
"fmt"
"testing"
. "github.com/krahets/hello-algo/pkg"
)
func TestBuildTree(t *testing.T) {
preorder := []int{3, 9, 2, 1, 7}
inorder := []int{9, 3, 1, 2, 7}
fmt.Print("Preorder traversal = ")
PrintSlice(preorder)
fmt.Print("Inorder traversal = ")
PrintSlice(inorder)
root := buildTree(preorder, inorder)
fmt.Println("The constructed binary tree is:")
PrintTree(root)
}
@@ -0,0 +1,39 @@
// File: hanota.go
// Created Time: 2023-07-21
// Author: hongyun-robot (1836017030@qq.com)
package chapter_divide_and_conquer
import "container/list"
/* Move a disk */
func move(src, tar *list.List) {
// Take out a disk from the top of src
pan := src.Back()
// Place the disk on top of tar
tar.PushBack(pan.Value)
// Remove top disk from src
src.Remove(pan)
}
/* Solve the Tower of Hanoi problem f(i) */
func dfsHanota(i int, src, buf, tar *list.List) {
// If there is only one disk left in src, move it directly to tar
if i == 1 {
move(src, tar)
return
}
// Subproblem f(i-1): move the top i-1 disks from src to buf using tar
dfsHanota(i-1, src, tar, buf)
// Subproblem f(1): move the remaining disk from src to tar
move(src, tar)
// Subproblem f(i-1): move the top i-1 disks from buf to tar using src
dfsHanota(i-1, buf, src, tar)
}
/* Solve the Tower of Hanoi problem */
func solveHanota(A, B, C *list.List) {
n := A.Len()
// Move the top n disks from A to C using B
dfsHanota(n, A, B, C)
}
@@ -0,0 +1,40 @@
// File: hanota_test.go
// Created Time: 2023-07-21
// Author: hongyun-robot (1836017030@qq.com)
package chapter_divide_and_conquer
import (
"container/list"
"fmt"
"testing"
. "github.com/krahets/hello-algo/pkg"
)
func TestHanota(t *testing.T) {
// The tail of the list is the top of the rod
A := list.New()
for i := 5; i > 0; i-- {
A.PushBack(i)
}
B := list.New()
C := list.New()
fmt.Println("In initial state:")
fmt.Print("A = ")
PrintList(A)
fmt.Print("B = ")
PrintList(B)
fmt.Print("C = ")
PrintList(C)
solveHanota(A, B, C)
fmt.Println("After disk movement is complete:")
fmt.Print("A = ")
PrintList(A)
fmt.Print("B = ")
PrintList(B)
fmt.Print("C = ")
PrintList(C)
}