124. Binary Tree Maximum Path Sum

JJ·2021년 2월 12일
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Algorithms

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class Solution:
    def maxPathSum(self, root: TreeNode) -> int:
        max_path = float("-inf") # placeholder to be updated
        def get_max_gain(node):
            nonlocal max_path # This tells that max_path is not a local variable
            if node is None:
                return 0
            gain_on_left = max(get_max_gain(node.left), 0) # Read the part important observations
            gain_on_right = max(get_max_gain(node.right), 0)  # Read the part important observations
            current_max_path = node.val + gain_on_left + gain_on_right # Read first three images of going down the recursion stack
            max_path = max(max_path, current_max_path) # Read first three images of going down the recursion stack
            return node.val + max(gain_on_left, gain_on_right) # Read the last image of going down the recursion stack
        
        get_max_gain(root) # Starts the recursion chain
        return max_path	

Runtime: 84 ms, faster than 81.53% of Python3 online submissions for Binary Tree Maximum Path Sum.
Memory Usage: 21.4 MB, less than 70.28% of Python3 online submissions for Binary Tree Maximum Path Sum.

https://leetcode.com/problems/binary-tree-maximum-path-sum/discuss/603423/Python-Recursion-stack-thinking-process-diagram

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