给你一个二叉树的根结点,请你找出出现次数最多的子树元素和。一个结点的「子树元素和」定义为以该结点为根的二叉树上所有结点的元素之和(包括结点本身)。
你需要返回出现次数最多的子树元素和。如果有多个元素出现的次数相同,返回所有出现次数最多的子树元素和(不限顺序)。
示例 1:
输入:
5 / \ 2 -3
返回 [2, -3, 4],所有的值均只出现一次,以任意顺序返回所有值。
示例 2:
输入:
5 / \ 2 -5
返回 [2],只有 2 出现两次,-5 只出现 1 次。
提示: 假设任意子树元素和均可以用 32 位有符号整数表示。
后序遍历获取每个子树元素和,同时用哈希表记录每个子树元素和出现的次数,以及最大的次数 mx。最后判断哈希表中出现次数为 mx 的,获取对应的子树元素,组成结果列表 ans。
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def findFrequentTreeSum(self, root: TreeNode) -> List[int]:
def dfs(root):
if root is None:
return 0
left, right = dfs(root.left), dfs(root.right)
s = root.val + left + right
counter[s] += 1
return s
counter = Counter()
dfs(root)
mx = max(counter.values())
return [k for k, v in counter.items() if v == mx]
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
class Solution {
private Map<Integer, Integer> counter;
private int mx;
public int[] findFrequentTreeSum(TreeNode root) {
counter = new HashMap<>();
mx = Integer.MIN_VALUE;
dfs(root);
List<Integer> res = new ArrayList<>();
for (Map.Entry<Integer, Integer> entry : counter.entrySet()) {
if (entry.getValue() == mx) {
res.add(entry.getKey());
}
}
int[] ans = new int[res.size()];
for (int i = 0; i < res.size(); ++i) {
ans[i] = res.get(i);
}
return ans;
}
private int dfs(TreeNode root) {
if (root == null) {
return 0;
}
int s = root.val + dfs(root.left) + dfs(root.right);
counter.put(s, counter.getOrDefault(s, 0) + 1);
mx = Math.max(mx, counter.get(s));
return s;
}
}
/**
* Definition for a binary tree node.
* 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:
unordered_map<int, int> counter;
int mx = 0;
vector<int> findFrequentTreeSum(TreeNode* root) {
mx = INT_MIN;
dfs(root);
vector<int> ans;
for (auto& entry : counter)
if (entry.second == mx)
ans.push_back(entry.first);
return ans;
}
int dfs(TreeNode* root) {
if (!root) return 0;
int s = root->val + dfs(root->left) + dfs(root->right);
++counter[s];
mx = max(mx, counter[s]);
return s;
}
};
/**
* Definition for a binary tree node.
* type TreeNode struct {
* Val int
* Left *TreeNode
* Right *TreeNode
* }
*/
func findFrequentTreeSum(root *TreeNode) []int {
counter := make(map[int]int)
mx := 0
var dfs func(root *TreeNode) int
dfs = func(root *TreeNode) int {
if root == nil {
return 0
}
s := root.Val + dfs(root.Left) + dfs(root.Right)
counter[s]++
if mx < counter[s] {
mx = counter[s]
}
return s
}
dfs(root)
var ans []int
for k, v := range counter {
if v == mx {
ans = append(ans, k)
}
}
return ans
}