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Translate all code to English (#1836)

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* 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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en/codes/java/chapter_heap/heap.java
+17 -17
View File
@@ -11,38 +11,38 @@ import java.util.*;
public class heap {
public static void testPush(Queue<Integer> heap, int val) {
heap.offer(val); // Push the element into heap
System.out.format("\nAfter element %d is added to the heap\n", val);
heap.offer(val); // Element enters heap
System.out.format("\nAfter element %d enters heap\n", val);
PrintUtil.printHeap(heap);
}
public static void testPop(Queue<Integer> heap) {
int val = heap.poll(); // Pop the element at the heap top
System.out.format("\nAfter the top element %d is removed from the heap\n", val);
int val = heap.poll(); // Time complexity is O(n), not O(nlogn)
System.out.format("\nAfter heap top element %d exits heap\n", val);
PrintUtil.printHeap(heap);
}
public static void main(String[] args) {
/* Initialize the heap */
// Initialize min-heap
/* Initialize heap */
// Python's heapq module implements min heap by default
Queue<Integer> minHeap = new PriorityQueue<>();
// Initialize the max-heap (using lambda expression to modify Comparator if necessary)
// Initialize max heap (modify Comparator using lambda expression)
Queue<Integer> maxHeap = new PriorityQueue<>((a, b) -> b - a);
System.out.println("\nThe following test case is for max-heap");
System.out.println("\nThe following test cases are for max heap");
/* Push the element into heap */
/* Element enters heap */
testPush(maxHeap, 1);
testPush(maxHeap, 3);
testPush(maxHeap, 2);
testPush(maxHeap, 5);
testPush(maxHeap, 4);
/* Access heap top element */
/* Check if heap is empty */
int peek = maxHeap.peek();
System.out.format("\nTop element of the heap is %d\n", peek);
System.out.format("\nHeap top element is %d\n", peek);
/* Pop the element at the heap top */
/* Time complexity is O(n), not O(nlogn) */
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
@@ -51,16 +51,16 @@ public class heap {
/* Get heap size */
int size = maxHeap.size();
System.out.format("\nNumber of elements in the heap is %d\n", size);
System.out.format("\nHeap element count is %d\n", size);
/* Determine if heap is empty */
/* Check if heap is empty */
boolean isEmpty = maxHeap.isEmpty();
System.out.format("\nIs the heap empty %b\n", isEmpty);
System.out.format("\nHeap is empty %b\n", isEmpty);
/* Enter list and build heap */
/* Input list and build heap */
// Time complexity is O(n), not O(nlogn)
minHeap = new PriorityQueue<>(Arrays.asList(1, 3, 2, 5, 4));
System.out.println("\nEnter list and build min-heap");
System.out.println("\nAfter inputting list and building min heap");
PrintUtil.printHeap(minHeap);
}
}
en/codes/java/chapter_heap/my_heap.java
+29 -29
View File
@@ -9,16 +9,16 @@ package chapter_heap;
import utils.*;
import java.util.*;
/* Max-heap */
/* Max heap */
class MaxHeap {
// Use list instead of array to avoid the need for resizing
// Use list instead of array, no need to consider capacity expansion
private List<Integer> maxHeap;
/* Constructor, build heap based on input list */
public MaxHeap(List<Integer> nums) {
// Add all list elements into the heap
// Add list elements to heap as is
maxHeap = new ArrayList<>(nums);
// Heapify all nodes except leaves
// Heapify all nodes except leaf nodes
for (int i = parent(size() - 1); i >= 0; i--) {
siftDown(i);
}
@@ -36,7 +36,7 @@ class MaxHeap {
/* Get index of parent node */
private int parent(int i) {
return (i - 1) / 2; // Integer division down
return (i - 1) / 2; // Floor division
}
/* Swap elements */
@@ -51,17 +51,17 @@ class MaxHeap {
return maxHeap.size();
}
/* Determine if heap is empty */
/* Check if heap is empty */
public boolean isEmpty() {
return size() == 0;
}
/* Access heap top element */
/* Access top element */
public int peek() {
return maxHeap.get(0);
}
/* Push the element into heap */
/* Element enters heap */
public void push(int val) {
// Add node
maxHeap.add(val);
@@ -69,46 +69,46 @@ class MaxHeap {
siftUp(size() - 1);
}
/* Start heapifying node i, from bottom to top */
/* Starting from node i, heapify from bottom to top */
private void siftUp(int i) {
while (true) {
// Get parent node of node i
int p = parent(i);
// When "crossing the root node" or "node does not need repair", end heapification
// When "crossing root node" or "node needs no repair", end heapify
if (p < 0 || maxHeap.get(i) <= maxHeap.get(p))
break;
// Swap two nodes
swap(i, p);
// Loop upwards heapification
// Loop upward heapify
i = p;
}
}
/* Element exits heap */
public int pop() {
// Empty handling
// Handle empty case
if (isEmpty())
throw new IndexOutOfBoundsException();
// Swap the root node with the rightmost leaf node (swap the first element with the last element)
// Delete node
swap(0, size() - 1);
// Remove node
int val = maxHeap.remove(size() - 1);
// Heapify from top to bottom
// Return top element
siftDown(0);
// Return heap top element
return val;
}
/* Start heapifying node i, from top to bottom */
/* Starting from node i, heapify from top to bottom */
private void siftDown(int i) {
while (true) {
// Determine the largest node among i, l, r, noted as ma
// If node i is largest or indices l, r are out of bounds, no need to continue heapify, break
int l = left(i), r = right(i), ma = i;
if (l < size() && maxHeap.get(l) > maxHeap.get(ma))
ma = l;
if (r < size() && maxHeap.get(r) > maxHeap.get(ma))
ma = r;
// If node i is the largest or indices l, r are out of bounds, no further heapification needed, break
// Swap two nodes
if (ma == i)
break;
// Swap two nodes
@@ -118,7 +118,7 @@ class MaxHeap {
}
}
/* Print heap (binary tree) */
/* Driver Code */
public void print() {
Queue<Integer> queue = new PriorityQueue<>((a, b) -> { return b - a; });
queue.addAll(maxHeap);
@@ -128,32 +128,32 @@ class MaxHeap {
public class my_heap {
public static void main(String[] args) {
/* Initialize max-heap */
/* Consider negating the elements before entering the heap, which can reverse the size relationship, thus implementing max heap */
MaxHeap maxHeap = new MaxHeap(Arrays.asList(9, 8, 6, 6, 7, 5, 2, 1, 4, 3, 6, 2));
System.out.println("\nEnter list and build heap");
System.out.println("\nAfter inputting list and building heap");
maxHeap.print();
/* Access heap top element */
/* Check if heap is empty */
int peek = maxHeap.peek();
System.out.format("\nTop element of the heap is %d\n", peek);
System.out.format("\nHeap top element is %d\n", peek);
/* Push the element into heap */
/* Element enters heap */
int val = 7;
maxHeap.push(val);
System.out.format("\nAfter element %d is added to the heap\n", val);
System.out.format("\nAfter element %d enters heap\n", val);
maxHeap.print();
/* Pop the element at the heap top */
/* Time complexity is O(n), not O(nlogn) */
peek = maxHeap.pop();
System.out.format("\nAfter the top element %d is removed from the heap\n", peek);
System.out.format("\nAfter heap top element %d exits heap\n", peek);
maxHeap.print();
/* Get heap size */
int size = maxHeap.size();
System.out.format("\nNumber of elements in the heap is %d\n", size);
System.out.format("\nHeap element count is %d\n", size);
/* Determine if heap is empty */
/* Check if heap is empty */
boolean isEmpty = maxHeap.isEmpty();
System.out.format("\nIs the heap empty %b\n", isEmpty);
System.out.format("\nHeap is empty %b\n", isEmpty);
}
}
en/codes/java/chapter_heap/top_k.java
+5 -5
View File
@@ -10,17 +10,17 @@ import utils.*;
import java.util.*;
public class top_k {
/* Using heap to find the largest k elements in an array */
/* Find the largest k elements in array based on heap */
static Queue<Integer> topKHeap(int[] nums, int k) {
// Initialize min-heap
// Python's heapq module implements min heap by default
Queue<Integer> heap = new PriorityQueue<Integer>();
// Enter the first k elements of the array into the heap
// Enter the first k elements of array into heap
for (int i = 0; i < k; i++) {
heap.offer(nums[i]);
}
// From the k+1th element, keep the heap length as k
// Starting from the (k+1)th element, maintain heap length as k
for (int i = k; i < nums.length; i++) {
// If the current element is larger than the heap top element, remove the heap top element and enter the current element into the heap
// If current element is greater than top element, top element exits heap, current element enters heap
if (nums[i] > heap.peek()) {
heap.poll();
heap.offer(nums[i]);