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Copy pathLeetcode_508_508_Most_Frequent_Subtree_Sum.py
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Leetcode_508_508_Most_Frequent_Subtree_Sum.py
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"""
Given the root of a binary tree, return the most frequent subtree sum. If there is a tie, return all the values with the highest frequency in any order.
The subtree sum of a node is defined as the sum of all the node values formed by the subtree rooted at that node (including the node itself).
Example 1:
Input: root = [5,2,-3]
Output: [2,-3,4]
Example 2:
Input: root = [5,2,-5]
Output: [2]
Constraints:
The number of nodes in the tree is in the range [1, 104].
-105 <= Node.val <= 105
"""
# 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: Optional[TreeNode]) -> List[int]:
res = []
def dfs(root):
if not root:
return 0
tot = root.val+dfs(root.left)+dfs(root.right)
res.append(tot)
return tot
dfs(root)
count = {}
res2=[]
for i in res:
count[i] = 1 + count.get(i,0)
maxi = max(count.values())
for j in count:
if count[j]==maxi:
res2.append(j)
return res2