1--递归遍历
1-1--前序遍历
前序遍历:根→左→右;
#include <iostream>
#include <vector>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution{
public:
std::vector<int> preorderTraversal(TreeNode* root) {
std::vector<int> res;
dfs(root, res);
return res;
}
void dfs(TreeNode* root, std::vector<int>& res){
if(root == nullptr) return;
res.push_back(root->val);
dfs(root->left, res);
dfs(root->right, res);
}
};
int main(int argc, char* argv[]){
// root = [1, null, 2, 3]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
Node1->right = Node2;
Node2->left = Node3;
Solution S1;
std::vector<int> res = S1.preorderTraversal(Node1);
for(auto item : res) std::cout << item << " ";
std::cout << std::endl;
return 0;
}
1-2--中序遍历
中序遍历:左→根→右;
#include <iostream>
#include <vector>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution{
public:
std::vector<int> inorderTraversal(TreeNode* root) {
std::vector<int> res;
dfs(root, res);
return res;
}
void dfs(TreeNode* root, std::vector<int>& res){
if(root == nullptr) return;
dfs(root->left, res);
res.push_back(root->val);
dfs(root->right, res);
}
};
int main(int argc, char* argv[]){
// root = [1, null, 2, 3]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
Node1->right = Node2;
Node2->left = Node3;
Solution S1;
std::vector<int> res = S1.inorderTraversal(Node1);
for(auto item : res) std::cout << item << " ";
std::cout << std::endl;
return 0;
}
1-3--后序遍历
后序遍历:左→右→根;
#include <iostream>
#include <vector>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution{
public:
std::vector<int> postorderTraversal(TreeNode* root) {
std::vector<int> res;
dfs(root, res);
return res;
}
void dfs(TreeNode* root, std::vector<int>& res){
if(root == nullptr) return;
dfs(root->left, res);
dfs(root->right, res);
res.push_back(root->val);
}
};
int main(int argc, char* argv[]){
// root = [1, null, 2, 3]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
Node1->right = Node2;
Node2->left = Node3;
Solution S1;
std::vector<int> res = S1.postorderTraversal(Node1);
for(auto item : res) std::cout << item << " ";
std::cout << std::endl;
return 0;
}
2--迭代遍历
2-1--前序遍历
基于栈结构,先将根节点入栈,再将节点从栈中弹出,如果节点的右孩子不为空,则右孩子入栈;如果节点的左孩子不为空,则左孩子入栈;
循环出栈处理节点,并将右孩子和左孩子存在栈中(右孩子先进栈,左孩子再进栈,因为栈先进后出,这样可以确保左孩子先出栈,符合根→左→右的顺序);
#include <iostream>
#include <vector>
#include <stack>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution{
public:
std::vector<int> preorderTraversal(TreeNode* root) {
std::vector<int> res;
if(root == nullptr) return res;
std::stack<TreeNode*> stk;
stk.push(root);
while(!stk.empty()){
TreeNode *tmp = stk.top();
stk.pop();
res.push_back(tmp->val);
if(tmp->right != nullptr) stk.push(tmp->right); // 右
if(tmp->left != nullptr) stk.push(tmp->left); // 左
}
return res;
}
};
int main(int argc, char* argv[]){
// root = [1, null, 2, 3]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
Node1->right = Node2;
Node2->left = Node3;
Solution S1;
std::vector<int> res = S1.preorderTraversal(Node1);
for(auto item : res) std::cout << item << " ";
std::cout << std::endl;
return 0;
}
2-2--后序遍历
可以使用两个栈来实现,一个是遍历栈,一个是收集栈,参考之前的笔记:后序遍历的迭代实现
也可以类似于前序遍历,基于一个栈实现,只不过需要改变入栈顺序:每出栈处理一个节点,其左孩子入栈,再右孩子入栈;此时处理顺序为:根->右->左,最后将结果 reverse 即可;
#include <iostream>
#include <vector>
#include <stack>
#include <algorithm>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution{
public:
std::vector<int> postorderTraversal(TreeNode* root) {
std::vector<int> res;
if(root == nullptr) return res;
std::stack<TreeNode*> stk;
stk.push(root);
while(!stk.empty()){
TreeNode* tmp = stk.top();
stk.pop();
if(tmp->left != nullptr) stk.push(tmp->left);
if(tmp->right != nullptr) stk.push(tmp->right);
res.push_back(tmp->val);
}
// 反转
std::reverse(res.begin(), res.end());
return res;
}
};
int main(int argc, char* argv[]){
// root = [1, null, 2, 3]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
Node1->right = Node2;
Node2->left = Node3;
Solution S1;
std::vector<int> res = S1.postorderTraversal(Node1);
for(auto item : res) std::cout << item << " ";
std::cout << std::endl;
return 0;
}
2-3--中序遍历
基于栈结构,初始化一个栈,根节点入栈;
①:左子结点全部入栈;
②:结点出栈,处理结点;
③:对出栈结点的右子树重复执行第 ① 步操作;
#include <iostream>
#include <vector>
#include <stack>
#include <algorithm>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution{
public:
std::vector<int> inorderTraversal(TreeNode* root) {
std::vector<int> res;
if(root == nullptr) return res;
std::stack<TreeNode*> stk;
while(!stk.empty() || root != nullptr){
if(root != nullptr){ // 左子结点全部入栈
stk.push(root);
root = root->left;
}
else{
TreeNode *tmp = stk.top();
stk.pop();
res.push_back(tmp->val);
// 出栈节点的右孩子执行相同操作
root = tmp->right;
}
}
return res;
}
};
int main(int argc, char* argv[]){
// root = [1, null, 2, 3]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
Node1->right = Node2;
Node2->left = Node3;
Solution S1;
std::vector<int> res = S1.inorderTraversal(Node1);
for(auto item : res) std::cout << item << " ";
std::cout << std::endl;
return 0;
}
3--二叉树的层序遍历
主要思路:
经典广度优先搜索,基于队列;
对于本题需要将同一层的节点放在一个数组中,因此遍历的时候需要用一个变量 nums 来记录当前层的节点数,即 nums 等于队列元素的数目;
#include <iostream>
#include <vector>
#include <queue>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
std::vector<std::vector<int>> levelOrder(TreeNode* root) {
std::vector<std::vector<int>> res;
if(root == nullptr) return res;
std::queue<TreeNode*> q;
q.push(root);
while(!q.empty()){
int nums = q.size(); // 当前层的节点数
std::vector<int> tmp;
while(nums > 0){ // 遍历处理同一层
TreeNode *cur = q.front();
q.pop();
tmp.push_back(cur->val);
if(cur->left != nullptr) q.push(cur->left);
if(cur->right != nullptr) q.push(cur->right);
nums--;
}
res.push_back(tmp); // 记录当前层的元素
}
return res;
}
};
int main(int argc, char* argv[]){
// root = [1, null, 2, 3]
TreeNode *Node1 = new TreeNode(3);
TreeNode *Node2 = new TreeNode(9);
TreeNode *Node3 = new TreeNode(20);
TreeNode *Node4 = new TreeNode(15);
TreeNode *Node5 = new TreeNode(7);
Node1->left = Node2;
Node1->right = Node3;
Node3->left = Node4;
Node3->right = Node5;
Solution S1;
std::vector<std::vector<int>> res = S1.levelOrder(Node1);
for(auto item : res) {
for (int v : item) std::cout << v << " ";
std::cout << std::endl;
}
return 0;
}
4--翻转二叉树
主要思路:
递归交换左右子树;
#include <iostream>
#include <vector>
#include <queue>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
TreeNode* invertTree(TreeNode* root) {
reverse(root);
return root;
}
void reverse(TreeNode *root){
if(root == nullptr) return;
reverse(root->left);
reverse(root->right);
TreeNode *tmp = root->left;
root->left = root->right;
root->right = tmp;
}
};
// 层次遍历打印
void PrintTree(TreeNode *root){
std::queue<TreeNode*> q;
q.push(root);
while(!q.empty()) {
TreeNode *tmp = q.front();
q.pop();
std::cout << tmp->val << " ";
if(tmp->left != nullptr) q.push(tmp->left);
if(tmp->right != nullptr) q.push(tmp->right);
}
}
int main(int argc, char* argv[]){
// root = [4,2,7,1,3,6,9]
TreeNode *Node1 = new TreeNode(4);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(7);
TreeNode *Node4 = new TreeNode(1);
TreeNode *Node5 = new TreeNode(3);
TreeNode *Node6 = new TreeNode(6);
TreeNode *Node7 = new TreeNode(9);
Node1->left = Node2;
Node1->right = Node3;
Node2->left = Node4;
Node2->right = Node5;
Node3->left = Node6;
Node3->right = Node7;
Solution S1;
TreeNode *res = S1.invertTree(Node1);
PrintTree(res);
}
5--对称二叉树
主要思路:
递归判断左树的左子树是否与右数的右子树相等,左树的右子树是否与右树的左子树相等;
#include <iostream>
#include <vector>
#include <queue>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
bool isSymmetric(TreeNode* root) {
if(root == nullptr) return true;
bool res = dfs(root->left, root->right);
return res;
}
bool dfs(TreeNode *left, TreeNode *right){
if((left != nullptr && right == nullptr) ||
(left == nullptr && right != nullptr)) return false;
if(left == nullptr && right == nullptr) return true;
if (left->val != right->val) return false;
bool isSame1 = dfs(left->left, right->right);
bool isSame2 = dfs(left->right, right->left);
return isSame1 && isSame2;
}
};
int main(int argc, char* argv[]){
// root = [4,2,7,1,3,6,9]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(2);
TreeNode *Node4 = new TreeNode(3);
TreeNode *Node5 = new TreeNode(4);
TreeNode *Node6 = new TreeNode(4);
TreeNode *Node7 = new TreeNode(3);
Node1->left = Node2;
Node1->right = Node3;
Node2->left = Node4;
Node2->right = Node5;
Node3->left = Node6;
Node3->right = Node7;
Solution S1;
bool res = S1.isSymmetric(Node1);
if(res) std::cout << "true" << std::endl;
else std::cout << "false" << std::endl;
}
6--二叉树最大深度
主要思路:
递归计算左右子树的深度,选取两者最大值 +1 返回;
#include <iostream>
#include <vector>
#include <queue>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
int maxDepth(TreeNode* root) {
if(root == nullptr) return 0;
int res = dfs(root);
return res;
}
int dfs(TreeNode* root){
if(root == nullptr) return 0;
int left_height = dfs(root->left);
int right_height = dfs(root->right);
int cur_height = std::max(left_height, right_height) + 1;
return cur_height;
}
};
int main(int argc, char* argv[]){
// root = [3,9,20,null,null,15,7]
TreeNode *Node1 = new TreeNode(3);
TreeNode *Node2 = new TreeNode(9);
TreeNode *Node3 = new TreeNode(20);
TreeNode *Node4 = new TreeNode(15);
TreeNode *Node5 = new TreeNode(7);
Node1->left = Node2;
Node1->right = Node3;
Node3->left = Node4;
Node3->right = Node5;
Solution S1;
int res = S1.maxDepth(Node1);
std::cout << res << std::endl;
return 0;
}
7--二叉树的最小深度
主要思路:
与上题有点类似,递归返回最小深度即可,但需要剔除根节点一个子树为空的情况;
对于一个根节点,其中一个子树为空,则其最小深度是不为空的子树的深度;
#include <iostream>
#include <vector>
#include <queue>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
int minDepth(TreeNode* root) {
if(root == nullptr) return 0;
return dfs(root);
}
int dfs(TreeNode *root){
if(root == nullptr) return 0;
// 剔除两种情况
if(root->left == nullptr) return dfs(root->right) + 1;
else if(root->right == nullptr) return dfs(root->left) + 1;
else{
int left_height = dfs(root->left);
int right_height = dfs(root->right);
int cur_min_height = std::min(left_height, right_height) + 1;
return cur_min_height;
}
}
};
int main(int argc, char* argv[]){
// root = [3,9,20,null,null,15,7]
TreeNode *Node1 = new TreeNode(3);
TreeNode *Node2 = new TreeNode(9);
TreeNode *Node3 = new TreeNode(20);
TreeNode *Node4 = new TreeNode(15);
TreeNode *Node5 = new TreeNode(7);
Node1->left = Node2;
Node1->right = Node3;
Node3->left = Node4;
Node3->right = Node5;
Solution S1;
int res = S1.minDepth(Node1);
std::cout << res << std::endl;
return 0;
}
8--完全二叉树节点的数量
主要思路:
普通二叉树可以通过层次遍历来统计节点数目;
对于本题中的完全二叉树,可以通过 2**k - 1 的公式来计算二叉树节点的数目;
首先需判断一个子树是否为完全二叉树,如果是则通过上式计算;如果不是完全二叉树,则对于当前子树,需要分别向左右子树递归计算其节点数目(相当于获取信息),最后将结果相加(相当于处理信息),并加上1返回即可;
#include <iostream>
#include <vector>
#include <queue>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
int countNodes(TreeNode* root) {
if(root == nullptr) return 0;
return dfs(root);
}
int dfs(TreeNode *root){
if(root == nullptr) return 0;
TreeNode *left = root->left, *right = root->right;
int left_height = 0, right_height = 0;
while(left != nullptr){
left = left->left;
left_height++;
}
while(right != nullptr){
right = right->right;
right_height++;
}
if(left_height == right_height) return (2<<left_height) - 1; // 满二叉树
int left_nums = dfs(root->left);
int right_nums = dfs(root->right);
return left_nums + right_nums + 1;
}
};
int main(int argc, char* argv[]){
// root = [1,2,3,4,5,6]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
TreeNode *Node4 = new TreeNode(4);
TreeNode *Node5 = new TreeNode(5);
TreeNode *Node6 = new TreeNode(6);
Node1->left = Node2;
Node1->right = Node3;
Node2->left = Node4;
Node2->right = Node5;
Node3->left = Node6;
Solution S1;
int res = S1.countNodes(Node1);
std::cout << res << std::endl;
return 0;
}
9--平衡二叉树
主要思路:
通过高度差不大于1,来递归判断子树是否是平衡二叉树,不是则返回-1,是则返回对应的高度;
#include <iostream>
#include <vector>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
bool isBalanced(TreeNode* root) {
if(root == nullptr) return true;
int height = dfs(root);
return height == -1 ? false : true;
}
int dfs(TreeNode *root){
if(root == nullptr) return 0;
int left_height = dfs(root->left);
if(left_height == -1) return -1;
int right_height = dfs(root->right);
if(right_height == -1) return -1;
if(std::abs(left_height - right_height) > 1) return -1;
else return std::max(left_height, right_height) + 1;
}
};
int main(int argc, char* argv[]){
// root = [3,9,20,null,null,15,7]
TreeNode *Node1 = new TreeNode(3);
TreeNode *Node2 = new TreeNode(9);
TreeNode *Node3 = new TreeNode(20);
TreeNode *Node4 = new TreeNode(15);
TreeNode *Node5 = new TreeNode(7);
Node1->left = Node2;
Node1->right = Node3;
Node3->left = Node4;
Node3->right = Node5;
Solution S1;
bool res = S1.isBalanced(Node1);
if(res) std::cout << "true" << std::endl;
else std::cout << "false" << std::endl;
return 0;
}
10--二叉树的所有路径
主要思路:
递归记录路径;
#include <iostream>
#include <vector>
#include <string>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
std::vector<std::string> binaryTreePaths(TreeNode* root) {
std::vector<std::string> res;
if(root == nullptr) return res;
std::string path = "";
dfs(root, res, path);
return res;
}
void dfs(TreeNode *root, std::vector<std::string>& res, std::string path){
if(root == nullptr) return;
path += std::to_string(root->val);
if(root->left == nullptr && root->right == nullptr) { // 叶子节点,回收路径
res.push_back(path);
return;
}
else path += "->";
dfs(root->left, res, path);
dfs(root->right, res, path);
}
};
int main(int argc, char* argv[]){
// root = [1,2,3,null,5]
TreeNode *Node1 = new TreeNode(1);
TreeNode *Node2 = new TreeNode(2);
TreeNode *Node3 = new TreeNode(3);
TreeNode *Node4 = new TreeNode(5);
Node1->left = Node2;
Node1->right = Node3;
Node2->right = Node4;
Solution S1;
std::vector<std::string> res = S1.binaryTreePaths(Node1);
for(auto path : res) std::cout << path << std::endl;
return 0;
}
11--左叶子之和
主要思路:
递归到叶子节点的上一层,返回其左叶子之和;
#include <iostream>
#include <vector>
#include <string>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
int sumOfLeftLeaves(TreeNode* root) {
if(root == nullptr) return 0;
return dfs(root);
}
int dfs(TreeNode* root){
if(root == nullptr) return 0;
if(root->left == nullptr && root->right == nullptr) return 0;
int sum = 0;
if(root->left != nullptr && root->left->left == nullptr && root->left->right == nullptr){
sum = root->left->val;
}
int left = dfs(root->left);
int right = dfs(root->right);
return left + right + sum;
}
};
int main(int argc, char* argv[]){
// root = [3,9,20,null,null,15,7]
TreeNode *Node1 = new TreeNode(3);
TreeNode *Node2 = new TreeNode(9);
TreeNode *Node3 = new TreeNode(20);
TreeNode *Node4 = new TreeNode(15);
TreeNode *Node5 = new TreeNode(7);
Node1->left = Node2;
Node1->right = Node3;
Node3->left = Node4;
Node3->right = Node5;
Solution S1;
int res = S1.sumOfLeftLeaves(Node1);
std::cout << res << std::endl;
return 0;
}
12--找树左下角的值
主要思路:
递归到最大深度层,优先返回最左边的节点值,即递归时优先搜索左子树;
#include <iostream>
#include <vector>
#include <limits.h>
struct TreeNode {
int val;
TreeNode *left;
TreeNode *right;
TreeNode() : val(0), left(nullptr), right(nullptr) {}
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
};
class Solution {
public:
int findBottomLeftValue(TreeNode* root) {
if(root == nullptr) return 0;
int max_height = INT_MIN;
int result = 0;
dfs(root, 0, max_height, result);
return result;
}
void dfs(TreeNode* root, int curheight, int& max_height, int& res){
if(root == nullptr) return;
if(root->left == nullptr && root->right == nullptr){ // 叶子节点
if(curheight + 1 > max_height){
max_height = curheight + 1;
res = root->val;
return;
}
}
dfs(root->left, curheight+1, max_height, res);
dfs(root->right, curheight+1, max_height, res);
}
};
int main(int argc, char* argv[]){
// root = [3,9,20,null,null,15,7]
TreeNode *Node1 = new TreeNode(2);
TreeNode *Node2 = new TreeNode(1);
TreeNode *Node3 = new TreeNode(3);
Node1->left = Node2;
Node1->right = Node3;
Solution S1;
int res = S1.findBottomLeftValue(Node1);
std::cout << res << std::endl;
return 0;
}