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* Add the intial translation of code of all the languages * test * revert * Remove * Add Python and Java code for EN version
40 lines
1.2 KiB
Java
40 lines
1.2 KiB
Java
/**
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* File: top_k.java
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* Created Time: 2023-06-12
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* Author: krahets (krahets@163.com)
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*/
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package chapter_heap;
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import utils.*;
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import java.util.*;
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public class top_k {
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/* Using heap to find the largest k elements in an array */
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static Queue<Integer> topKHeap(int[] nums, int k) {
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// Initialize min-heap
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Queue<Integer> heap = new PriorityQueue<Integer>();
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// Enter the first k elements of the array into the heap
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for (int i = 0; i < k; i++) {
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heap.offer(nums[i]);
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}
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// From the k+1th element, keep the heap length as k
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for (int i = k; i < nums.length; i++) {
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// If the current element is larger than the heap top element, remove the heap top element and enter the current element into the heap
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if (nums[i] > heap.peek()) {
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heap.poll();
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heap.offer(nums[i]);
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}
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}
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return heap;
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}
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public static void main(String[] args) {
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int[] nums = { 1, 7, 6, 3, 2 };
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int k = 3;
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Queue<Integer> res = topKHeap(nums, k);
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System.out.println("The largest " + k + " elements are");
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PrintUtil.printHeap(res);
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}
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}
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