Files
Yudong Jin 2778a6f9c7 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
2025-12-31 07:44:52 +08:00

38 lines
1.2 KiB
C#

/**
* File: top_k.cs
* Created Time: 2023-06-14
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_heap;
public class top_k {
/* Find the largest k elements in array based on heap */
PriorityQueue<int, int> TopKHeap(int[] nums, int k) {
// Python's heapq module implements min heap by default
PriorityQueue<int, int> heap = new();
// Enter the first k elements of array into heap
for (int i = 0; i < k; i++) {
heap.Enqueue(nums[i], nums[i]);
}
// Starting from the (k+1)th element, maintain heap length as k
for (int i = k; i < nums.Length; i++) {
// If current element is greater than top element, top element exits heap, current element enters heap
if (nums[i] > heap.Peek()) {
heap.Dequeue();
heap.Enqueue(nums[i], nums[i]);
}
}
return heap;
}
[Test]
public void Test() {
int[] nums = [1, 7, 6, 3, 2];
int k = 3;
PriorityQueue<int, int> res = TopKHeap(nums, k);
Console.WriteLine("The largest " + k + " elements are");
PrintUtil.PrintHeap(res);
}
}