/**
* struct TreeNode {
* int val;
* struct TreeNode *left;
* struct TreeNode *right;
* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
* };
*/
#include <unordered_map>
class Solution {
public:
/**
* 代码中的类名、方法名、参数名已经指定,请勿修改,直接返回方法规定的值即可
*
*
* @param inorder int整型vector 中序遍历序列
* @param postorder int整型vector 后序遍历序列
* @return TreeNode类
*/
TreeNode* buildTree(vector<int>& inorder, vector<int>& postorder) {
// write code here
int size = inorder.size();
//建立一个哈希表,来映射结点值与中序遍历数组的下标,方便查找
unordered_map<int, int> inorder_map;
for(int i = 0;i < size;++i)
{
inorder_map[inorder[i]] = i;//各节点值不相同
}
return buildTreeHelper(inorder, postorder, 0, size-1, 0, size-1, inorder_map);
}
TreeNode* buildTreeHelper(vector<int>& inorder, vector<int>& postorder, int in_start, int in_end, int post_start, int post_end, unordered_map<int, int> inorder_map)
{
if(in_start > in_end || post_start > post_end)
{
return nullptr;
}
int root_val = postorder[post_end];//后序遍历:左右根
auto root = new TreeNode(root_val);//新建根节点
int root_index = inorder_map[root_val];//通过哈希表,找到根节点下标
int left_size = root_index - in_start;//左子树的大小
root->left = buildTreeHelper(inorder, postorder, in_start, root_index-1, post_start, post_start+left_size-1, inorder_map);
root->right = buildTreeHelper(inorder, postorder, root_index+1, in_end, post_start+left_size, post_end-1, inorder_map);
return root;
}
};