leetcode - 2265. Count Nodes Equal to Average of Subtree

Description

Given the root of a binary tree, return the number of nodes where the value of the node is equal to the average of the values in its subtree.

Note:

复制代码
The average of n elements is the sum of the n elements divided by n and rounded down to the nearest integer.
A subtree of root is a tree consisting of root and all of its descendants.

Example 1:

复制代码
Input: root = [4,8,5,0,1,null,6]
Output: 5
Explanation: 
For the node with value 4: The average of its subtree is (4 + 8 + 5 + 0 + 1 + 6) / 6 = 24 / 6 = 4.
For the node with value 5: The average of its subtree is (5 + 6) / 2 = 11 / 2 = 5.
For the node with value 0: The average of its subtree is 0 / 1 = 0.
For the node with value 1: The average of its subtree is 1 / 1 = 1.
For the node with value 6: The average of its subtree is 6 / 1 = 6.

Example 2:

复制代码
Input: root = [1]
Output: 1
Explanation: For the node with value 1: The average of its subtree is 1 / 1 = 1.

Constraints:

复制代码
The number of nodes in the tree is in the range [1, 1000].
0 <= Node.val <= 1000

Solution

Use post-order, keep track of the sum of the value of all the children, and the number of the children.

Time complexity: o ( n ) o(n) o(n)

Space complexity: o ( n ) o(n) o(n)

Code

python3 复制代码
# 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 averageOfSubtree(self, root: Optional[TreeNode]) -> int:
        stack = [(root, 0)]
        res = 0
        node_info = {}
        while stack:
            node, stat = stack.pop()
            if stat == 0:
                stack.append((node, 1))
                if node.left:
                    stack.append((node.left, 0))
                if node.right:
                    stack.append((node.right, 0))
            else:
                if not node.left and not node.right:
                    node_info[node] = (node.val, 1)
                elif not node.left:
                    node_info[node] = (node.val + node_info[node.right][0], 1 + node_info[node.right][1])
                elif not node.right:
                    node_info[node] = (node.val + node_info[node.left][0], 1 + node_info[node.left][1])
                else:
                    left_sum, left_num = node_info[node.left]
                    right_sum, right_num = node_info[node.right]
                    node_info[node] = (node.val + left_sum + right_sum, 1 + left_num + right_num)
                if node.val == node_info[node][0] // node_info[node][1]:
                    res += 1
        return res
相关推荐
BUG收容所所长12 分钟前
二分查找的「左右为难」:如何优雅地找到数组中元素的首尾位置
前端·javascript·算法
itsuifengerxing1 小时前
python 自定义无符号右移
算法
猎板PCB厚铜专家大族1 小时前
高频 PCB 技术发展趋势与应用解析
人工智能·算法·设计规范
dying_man2 小时前
LeetCode--24.两两交换链表中的结点
算法·leetcode
yours_Gabriel2 小时前
【力扣】2434.使用机器人打印字典序最小的字符串
算法·leetcode·贪心算法
草莓熊Lotso2 小时前
【数据结构初阶】--算法复杂度的深度解析
c语言·开发语言·数据结构·经验分享·笔记·其他·算法
KyollBM2 小时前
【CF】Day75——CF (Div. 2) B (数学 + 贪心) + CF 882 (Div. 2) C (01Trie | 区间最大异或和)
c语言·c++·算法
CV点灯大师3 小时前
C++算法训练营 Day10 栈与队列(1)
c++·redis·算法
GGBondlctrl3 小时前
【leetcode】递归,回溯思想 + 巧妙解法-解决“N皇后”,以及“解数独”题目
算法·leetcode·n皇后·有效的数独·解数独·映射思想·数学思想
武子康3 小时前
大数据-276 Spark MLib - 基础介绍 机器学习算法 Bagging和Boosting区别 GBDT梯度提升树
大数据·人工智能·算法·机器学习·语言模型·spark-ml·boosting