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 https://en.wikipedia.org/wiki/Heap_(data_structure))

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 8
98 72 86 60 65 12 23 50
8 38 25 58 52 82 70 60
10 28 15 12 34 9 8 56

Sample Output:

Max Heap
50 60 65 72 12 23 86 98
Min Heap
60 58 52 38 82 70 25 8
Not Heap
56 12 34 28 9 8 15 10

第一种方法,比较笨,重建整棵树,然后判断是否时大根堆和小根堆,然后再遍历出后序遍历

 #include <iostream>
#include <vector>
#include <queue>
#include <algorithm>
using namespace std;
int n, m;
vector<int>level, post;
struct Node
{
int val;
Node *l, *r;
Node(int a = ) :val(a), l(nullptr), r(nullptr) {}
};
Node* creatTree(bool &flag, const bool isMax)
{
Node* root = new Node(level[]);
int k = ;
queue<Node*>q;
q.push(root);
while (k < m)
{
Node *p = q.front();
q.pop();
p->l = new Node(level[k++]);
if (isMax && p->val<p->l->val || !isMax && p->val>p->l->val)
flag = false;
q.push(p->l);
if (k >= m)break;
p->r = new Node(level[k++]);
if (isMax && p->val < p->r->val || !isMax && p->val > p->r->val)
flag = false;
q.push(p->r);
}
return root;
}
void postOrder(Node *root)
{
if (root == nullptr)
return;
postOrder(root->l);
postOrder(root->r);
post.push_back(root->val);
}
int main()
{
cin >> n >> m;
while (n--)
{
level.clear();
level.resize(m);
post.clear();
int minN = INT32_MAX, maxN = -;
for (int i = ; i < m; ++i)
{
cin >> level[i];
minN = minN < level[i] ? minN : level[i];
maxN = maxN > level[i] ? maxN : level[i];
}
bool flag = true, isMax = false;
Node *root = nullptr;
if (level[] == minN)//小根堆
{
isMax = false;
root = creatTree(flag, isMax);
}
else if (level[] == maxN)
{
isMax = true;
root = creatTree(flag, isMax);
}
else
{
flag = false;
root = creatTree(flag, isMax);
}
postOrder(root);
if (flag && isMax)
printf("Max Heap\n");
else if (flag && !isMax)
printf("Min Heap\n");
else
printf("Not Heap\n");
for (int i = ; i < m; ++i)
cout << (i == ? "" : " ") << post[i];
cout << endl;
}
return ;
}

第二种方法,简单点,通过完全二叉树的性质,直接判断并得出后序遍历结果

 #include <iostream>
#include <vector>
using namespace std;
int n, m;
vector<int>level, post;
void postOrder(int index)
{
if (index >= m)return;
postOrder(index * + );
postOrder(index * + );
post.push_back(level[index]);
}
int main()
{
cin >> n >> m;
while (n--)
{
level.resize(m);
for (int i = ; i < m; ++i)
cin >> level[i];
bool isMaxHeap = level[] >= level[] ? true : false;
bool flag = true;
for (int i = ; i < (m - ) / && flag; ++i)
{
int L = i * + , R = i * + ;
if (isMaxHeap && (level[i] < level[L] || R < m && level[i] < level[R]))
flag = false;
if (!isMaxHeap && (level[i] > level[L] || R<m && level[i] > level[R]))
flag = false;
}
if (flag && isMaxHeap)
printf("Max Heap\n");
else if (flag && !isMaxHeap)
printf("Min Heap\n");
else
printf("Not Heap\n");
postOrder();
for (int i = ; i < m; ++i)
cout << (i == ? "" : " ") << post[i];
cout << endl;
}
return ;
}

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