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: iteration.go
// Created Time: 2023-08-28
// Author: Reanon (793584285@qq.com)
package chapter_computational_complexity
import "fmt"
/* for loop */
func forLoop(n int) int {
res := 0
// Sum 1, 2, ..., n-1, n
for i := 1; i <= n; i++ {
res += i
}
return res
}
/* while loop */
func whileLoop(n int) int {
res := 0
// Initialize condition variable
i := 1
// Sum 1, 2, ..., n-1, n
for i <= n {
res += i
// Update condition variable
i++
}
return res
}
/* while loop (two updates) */
func whileLoopII(n int) int {
res := 0
// Initialize condition variable
i := 1
// Sum 1, 4, 10, ...
for i <= n {
res += i
// Update condition variable
i++
i *= 2
}
return res
}
/* Nested for loop */
func nestedForLoop(n int) string {
res := ""
// Loop i = 1, 2, ..., n-1, n
for i := 1; i <= n; i++ {
for j := 1; j <= n; j++ {
// Loop j = 1, 2, ..., n-1, n
res += fmt.Sprintf("(%d, %d), ", i, j)
}
}
return res
}
@@ -0,0 +1,26 @@
// File: iteration_test.go
// Created Time: 2023-08-28
// Author: Reanon (793584285@qq.com)
package chapter_computational_complexity
import (
"fmt"
"testing"
)
/* Driver Code */
func TestIteration(t *testing.T) {
n := 5
res := forLoop(n)
fmt.Println("\nfor loop sum result res = ", res)
res = whileLoop(n)
fmt.Println("\nwhile loop sum result res = ", res)
res = whileLoopII(n)
fmt.Println("\nwhile loop (two updates) sum result res = ", res)
resStr := nestedForLoop(n)
fmt.Println("\nDouble for loop traversal result ", resStr)
}
@@ -0,0 +1,61 @@
// File: recursion.go
// Created Time: 2023-08-28
// Author: Reanon (793584285@qq.com)
package chapter_computational_complexity
import "container/list"
/* Recursion */
func recur(n int) int {
// Termination condition
if n == 1 {
return 1
}
// Recurse: recursive call
res := recur(n - 1)
// Return: return result
return n + res
}
/* Simulate recursion using iteration */
func forLoopRecur(n int) int {
// Use an explicit stack to simulate the system call stack
stack := list.New()
res := 0
// Recurse: recursive call
for i := n; i > 0; i-- {
// Simulate "recurse" with "push"
stack.PushBack(i)
}
// Return: return result
for stack.Len() != 0 {
// Simulate "return" with "pop"
res += stack.Back().Value.(int)
stack.Remove(stack.Back())
}
// res = 1+2+3+...+n
return res
}
/* Tail recursion */
func tailRecur(n int, res int) int {
// Termination condition
if n == 0 {
return res
}
// Tail recursive call
return tailRecur(n-1, res+n)
}
/* Fibonacci sequence: recursion */
func fib(n int) int {
// Termination condition f(1) = 0, f(2) = 1
if n == 1 || n == 2 {
return n - 1
}
// Recursive call f(n) = f(n-1) + f(n-2)
res := fib(n-1) + fib(n-2)
// Return result f(n)
return res
}
@@ -0,0 +1,26 @@
// File: recursion_test.go
// Created Time: 2023-08-28
// Author: Reanon (793584285@qq.com)
package chapter_computational_complexity
import (
"fmt"
"testing"
)
/* Driver Code */
func TestRecursion(t *testing.T) {
n := 5
res := recur(n)
fmt.Println("\nRecursive function sum result res = ", res)
res = forLoopRecur(n)
fmt.Println("\nUsing iteration to simulate recursive sum result res = ", res)
res = tailRecur(n, 0)
fmt.Println("\nTail recursive function sum result res = ", res)
res = fib(n)
fmt.Println("\nThe ", n, "th term of Fibonacci sequence is", res)
}
@@ -0,0 +1,106 @@
// File: space_complexity.go
// Created Time: 2022-12-15
// Author: cathay (cathaycchen@gmail.com)
package chapter_computational_complexity
import (
"fmt"
"strconv"
. "github.com/krahets/hello-algo/pkg"
)
/* Struct */
type node struct {
val int
next *node
}
/* Create node struct */
func newNode(val int) *node {
return &node{val: val}
}
/* Function */
func function() int {
// Perform some operations...
return 0
}
/* Constant order */
func spaceConstant(n int) {
// Constants, variables, objects occupy O(1) space
const a = 0
b := 0
nums := make([]int, 10000)
node := newNode(0)
// Variables in the loop occupy O(1) space
var c int
for i := 0; i < n; i++ {
c = 0
}
// Functions in the loop occupy O(1) space
for i := 0; i < n; i++ {
function()
}
b += 0
c += 0
nums[0] = 0
node.val = 0
}
/* Linear order */
func spaceLinear(n int) {
// Array of length n uses O(n) space
_ = make([]int, n)
// A list of length n occupies O(n) space
var nodes []*node
for i := 0; i < n; i++ {
nodes = append(nodes, newNode(i))
}
// A hash table of length n occupies O(n) space
m := make(map[int]string, n)
for i := 0; i < n; i++ {
m[i] = strconv.Itoa(i)
}
}
/* Linear order (recursive implementation) */
func spaceLinearRecur(n int) {
fmt.Println("Recursion n =", n)
if n == 1 {
return
}
spaceLinearRecur(n - 1)
}
/* Exponential order */
func spaceQuadratic(n int) {
// Matrix uses O(n^2) space
numMatrix := make([][]int, n)
for i := 0; i < n; i++ {
numMatrix[i] = make([]int, n)
}
}
/* Quadratic order (recursive implementation) */
func spaceQuadraticRecur(n int) int {
if n <= 0 {
return 0
}
nums := make([]int, n)
fmt.Printf("In recursion n = %d, nums length = %d \n", n, len(nums))
return spaceQuadraticRecur(n - 1)
}
/* Driver Code */
func buildTree(n int) *TreeNode {
if n == 0 {
return nil
}
root := NewTreeNode(0)
root.Left = buildTree(n - 1)
root.Right = buildTree(n - 1)
return root
}
@@ -0,0 +1,26 @@
// File: space_complexity_test.go
// Created Time: 2022-12-15
// Author: cathay (cathaycchen@gmail.com)
package chapter_computational_complexity
import (
"testing"
. "github.com/krahets/hello-algo/pkg"
)
func TestSpaceComplexity(t *testing.T) {
n := 5
// Constant order
spaceConstant(n)
// Linear order
spaceLinear(n)
spaceLinearRecur(n)
// Exponential order
spaceQuadratic(n)
spaceQuadraticRecur(n)
// Exponential order
root := buildTree(n)
PrintTree(root)
}
@@ -0,0 +1,130 @@
// File: time_complexity.go
// Created Time: 2022-12-13
// Author: msk397 (machangxinq@gmail.com)
package chapter_computational_complexity
/* Constant order */
func constant(n int) int {
count := 0
size := 100000
for i := 0; i < size; i++ {
count++
}
return count
}
/* Linear order */
func linear(n int) int {
count := 0
for i := 0; i < n; i++ {
count++
}
return count
}
/* Linear order (traversing array) */
func arrayTraversal(nums []int) int {
count := 0
// Number of iterations is proportional to the array length
for range nums {
count++
}
return count
}
/* Exponential order */
func quadratic(n int) int {
count := 0
// Number of iterations is quadratically related to the data size n
for i := 0; i < n; i++ {
for j := 0; j < n; j++ {
count++
}
}
return count
}
/* Quadratic order (bubble sort) */
func bubbleSort(nums []int) int {
count := 0 // Counter
// Outer loop: unsorted range is [0, i]
for i := len(nums) - 1; i > 0; i-- {
// Inner loop: swap the largest element in the unsorted range [0, i] to the rightmost end of that range
for j := 0; j < i; j++ {
if nums[j] > nums[j+1] {
// Swap nums[j] and nums[j + 1]
tmp := nums[j]
nums[j] = nums[j+1]
nums[j+1] = tmp
count += 3 // Element swap includes 3 unit operations
}
}
}
return count
}
/* Exponential order (loop implementation) */
func exponential(n int) int {
count, base := 0, 1
// Cells divide into two every round, forming sequence 1, 2, 4, 8, ..., 2^(n-1)
for i := 0; i < n; i++ {
for j := 0; j < base; j++ {
count++
}
base *= 2
}
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count
}
/* Exponential order (recursive implementation) */
func expRecur(n int) int {
if n == 1 {
return 1
}
return expRecur(n-1) + expRecur(n-1) + 1
}
/* Logarithmic order (loop implementation) */
func logarithmic(n int) int {
count := 0
for n > 1 {
n = n / 2
count++
}
return count
}
/* Logarithmic order (recursive implementation) */
func logRecur(n int) int {
if n <= 1 {
return 0
}
return logRecur(n/2) + 1
}
/* Linearithmic order */
func linearLogRecur(n int) int {
if n <= 1 {
return 1
}
count := linearLogRecur(n/2) + linearLogRecur(n/2)
for i := 0; i < n; i++ {
count++
}
return count
}
/* Factorial order (recursive implementation) */
func factorialRecur(n int) int {
if n == 0 {
return 1
}
count := 0
// Split from 1 into n
for i := 0; i < n; i++ {
count += factorialRecur(n - 1)
}
return count
}
@@ -0,0 +1,48 @@
// File: time_complexity_test.go
// Created Time: 2022-12-13
// Author: msk397 (machangxinq@gmail.com)
package chapter_computational_complexity
import (
"fmt"
"testing"
)
func TestTimeComplexity(t *testing.T) {
n := 8
fmt.Println("Input data size n =", n)
count := constant(n)
fmt.Println("Number of constant-order operations =", count)
count = linear(n)
fmt.Println("Number of linear-order operations =", count)
count = arrayTraversal(make([]int, n))
fmt.Println("Number of linear-order (array traversal) operations =", count)
count = quadratic(n)
fmt.Println("Number of quadratic-order operations =", count)
nums := make([]int, n)
for i := 0; i < n; i++ {
nums[i] = n - i
}
count = bubbleSort(nums)
fmt.Println("Number of quadratic-order (bubble sort) operations =", count)
count = exponential(n)
fmt.Println("Number of exponential-order (loop implementation) operations =", count)
count = expRecur(n)
fmt.Println("Number of exponential-order (recursive implementation) operations =", count)
count = logarithmic(n)
fmt.Println("Number of logarithmic-order (loop implementation) operations =", count)
count = logRecur(n)
fmt.Println("Number of logarithmic-order (recursive implementation) operations =", count)
count = linearLogRecur(n)
fmt.Println("Number of linearithmic-order (recursive implementation) operations =", count)
count = factorialRecur(n)
fmt.Println("Number of factorial-order (recursive implementation) operations =", count)
}
@@ -0,0 +1,35 @@
// File: worst_best_time_complexity.go
// Created Time: 2022-12-13
// Author: msk397 (machangxinq@gmail.com), cathay (cathaycchen@gmail.com)
package chapter_computational_complexity
import (
"math/rand"
)
/* Generate an array with elements { 1, 2, ..., n }, order shuffled */
func randomNumbers(n int) []int {
nums := make([]int, n)
// Generate array nums = { 1, 2, 3, ..., n }
for i := 0; i < n; i++ {
nums[i] = i + 1
}
// Randomly shuffle array elements
rand.Shuffle(len(nums), func(i, j int) {
nums[i], nums[j] = nums[j], nums[i]
})
return nums
}
/* Find the index of number 1 in array nums */
func findOne(nums []int) int {
for i := 0; i < len(nums); i++ {
// When element 1 is at the head of the array, best time complexity O(1) is achieved
// When element 1 is at the tail of the array, worst time complexity O(n) is achieved
if nums[i] == 1 {
return i
}
}
return -1
}
@@ -0,0 +1,20 @@
// File: worst_best_time_complexity_test.go
// Created Time: 2022-12-13
// Author: msk397 (machangxinq@gmail.com), cathay (cathaycchen@gmail.com)
package chapter_computational_complexity
import (
"fmt"
"testing"
)
func TestWorstBestTimeComplexity(t *testing.T) {
for i := 0; i < 10; i++ {
n := 100
nums := randomNumbers(n)
index := findOne(nums)
fmt.Println("\nAfter shuffling array [ 1, 2, ..., n ] =", nums)
fmt.Println("Index of number 1 is", index)
}
}