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Abhishek Chaudhary
Abhishek Chaudhary

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Most Frequent Subtree Sum

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

SOLUTION:

# 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 sumOfTree(self, root):
        if root:
            curr = root.val + self.sumOfTree(root.left) + self.sumOfTree(root.right)
            self.sums[curr] = self.sums.get(curr, 0) + 1
            return curr
        return 0

    def findFrequentTreeSum(self, root: Optional[TreeNode]) -> List[int]:
        self.sums = {}
        self.sumOfTree(root)
        mfreq = max(self.sums.values())
        return [k for k, v in self.sums.items() if v == mfreq]
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