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PAT (Advanced Level) Practice 1147 Heaps (30 分)堆
阅读量:3903 次
发布时间:2019-05-23

本文共 2235 字,大约阅读时间需要 7 分钟。

In computer science, a heap is a specialized tree-based data structure that satisfies the heap property: if P is a parent node of C, then the key (the value) of P is either greater than or equal to (in a max heap) or less than or equal to (in a min heap) the key of C. A common implementation of a heap is the binary heap, in which the tree is a complete binary tree. (Quoted from Wikipedia at ))

Your job is to tell if a given complete binary tree is a heap.

Input Specification:

Each input file contains one test case. For each case, the first line gives two positive integers: M (≤ 100), the number of trees to be tested; and N (1 < N ≤ 1,000), the number of keys in each tree, respectively. Then M lines follow, each contains N distinct integer keys (all in the range of int), which gives the level order traversal sequence of a complete binary tree.

Output Specification:

For each given tree, print in a line Max Heap if it is a max heap, or Min Heap for a min heap, or Not Heap if it is not a heap at all. Then in the next line print the tree's postorder traversal sequence. All the numbers are separated by a space, and there must no extra space at the beginning or the end of the line.

Sample Input:

3 898 72 86 60 65 12 23 508 38 25 58 52 82 70 6010 28 15 12 34 9 8 56

Sample Output:

Max Heap50 60 65 72 12 23 86 98Min Heap60 58 52 38 82 70 25 8Not Heap56 12 34 28 9 8 15 10

代码如下:

#include 
#include
#include
#include
using namespace std;const int maxn=2010;int n,m;int node[maxn];int is_min,is_max,num;void init(){ num=is_min=is_max=0;}void post (int loc){ if(loc>n) return; post(loc<<1); post(loc<<1|1); num++; printf("%d%c",node[loc],num==n?'\n':' ');}int main(){ scanf("%d%d",&m,&n); while (m--) { init(); for (int i=1;i<=n;i++) { scanf("%d",&node[i]); if(i!=1) { if(node[i]
>1]) is_max++; if(node[i]>node[i>>1]) is_min++; } } if(is_min==0) printf("Max Heap\n"); else if(is_max==0) printf("Min Heap\n"); else printf("Not Heap\n"); post (1); } return 0;}

 

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