Given the root of a binary tree and an integer targetSum, return all root-to-leaf paths where the sum of the node values in the path equals targetSum. Each path should be returned as a list of the node values, not node references.
A root-to-leaf path is a path starting from the root and ending at any leaf node. A leaf is a node with no children.
Example 1:
Input: root = [5,4,8,11,null,13,4,7,2,null,null,5,1], targetSum = 22
Output: [[5,4,11,2],[5,8,4,5]]
Explanation: There are two paths whose sum equals targetSum:
5 + 4 + 11 + 2 = 22
5 + 8 + 4 + 5 = 22
Example 2:
Input: root = [1,2,3], targetSum = 5
Output: []
Example 3:
Input: root = [1,2], targetSum = 0
Output: []
Constraints:
The number of nodes in the tree is in the range [0, 5000].
-1000 <= Node.val <= 1000
-1000 <= targetSum <= 1000
Solutions
Solution 1: DFS
We start from the root node, recursively traverse all paths from the root node to the leaf nodes, and record the path sum. When we traverse to a leaf node, if the current path sum equals targetSum, then we add this path to the answer.
The time complexity is $O(n^2)$, where $n$ is the number of nodes in the binary tree. The space complexity is $O(n)$.
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# 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 = rightclassSolution:defpathSum(self,root:Optional[TreeNode],targetSum:int)->List[List[int]]:defdfs(root,s):ifrootisNone:returns+=root.valt.append(root.val)ifroot.leftisNoneandroot.rightisNoneands==targetSum:ans.append(t[:])dfs(root.left,s)dfs(root.right,s)t.pop()ans=[]t=[]dfs(root,0)returnans