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70 lines
2.1 KiB
Java
70 lines
2.1 KiB
Java
/**
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* File: heap.cs
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* Created Time: 2023-02-06
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* Author: zjkung1123 (zjkung1123@gmail.com)
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*/
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using hello_algo.include;
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using NUnit.Framework;
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namespace hello_algo.chapter_heap;
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public class heap
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{
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public void testPush(PriorityQueue<int, int> heap, int val)
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{
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heap.Enqueue(val, val); // 元素入堆
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Console.WriteLine($"\n元素 {val} 入堆后\n");
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PrintUtil.printHeap(heap);
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}
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public void testPop(PriorityQueue<int, int> heap)
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{
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int val = heap.Dequeue(); // 堆顶元素出堆
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Console.WriteLine($"\n堆顶元素 {val} 出堆后\n");
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PrintUtil.printHeap(heap);
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}
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[Test]
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public void Test()
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{
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/* 初始化堆 */
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// 初始化小顶堆
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PriorityQueue<int, int> minHeap = new PriorityQueue<int, int>();
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// 初始化大顶堆(使用 lambda 表达式修改 Comparator 即可)
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PriorityQueue<int, int> maxHeap = new PriorityQueue<int, int>(Comparer<int>.Create((x, y) => y - x));
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Console.WriteLine("以下测试样例为大顶堆");
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/* 元素入堆 */
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testPush(maxHeap, 1);
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testPush(maxHeap, 3);
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testPush(maxHeap, 2);
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testPush(maxHeap, 5);
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testPush(maxHeap, 4);
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/* 获取堆顶元素 */
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int peek = maxHeap.Peek();
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Console.WriteLine($"堆顶元素为 {peek}");
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/* 堆顶元素出堆 */
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// 出堆元素会形成一个从大到小的序列
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testPop(maxHeap);
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testPop(maxHeap);
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testPop(maxHeap);
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testPop(maxHeap);
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testPop(maxHeap);
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/* 获取堆大小 */
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int size = maxHeap.Count;
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Console.WriteLine($"堆元素数量为 {size}");
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/* 判断堆是否为空 */
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bool isEmpty = maxHeap.Count == 0;
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Console.WriteLine($"堆是否为空 {isEmpty}");
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/* 输入列表并建堆 */
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var list = new int[] { 1, 3, 2, 5, 4 };
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minHeap = new PriorityQueue<int, int>(list.Select(x => (x, x)));
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Console.WriteLine("输入列表并建立小顶堆后");
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PrintUtil.printHeap(minHeap);
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}
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}
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