LeetCode 0129. Sum Root to Leaf Numbers Solution in Java, Python, C++, JavaScript, Go & Rust | Explanation + Code

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0129. Sum Root to Leaf Numbers

Description

You are given the root of a binary tree containing digits from 0 to 9 only.

Each root-to-leaf path in the tree represents a number.

  • For example, the root-to-leaf path 1 -> 2 -> 3 represents the number 123.

Return the total sum of all root-to-leaf numbers. Test cases are generated so that the answer will fit in a 32-bit integer.

A leaf node is a node with no children.

 

Example 1:

Input: root = [1,2,3]
Output: 25
Explanation:
The root-to-leaf path 1->2 represents the number 12.
The root-to-leaf path 1->3 represents the number 13.
Therefore, sum = 12 + 13 = 25.

Example 2:

Input: root = [4,9,0,5,1]
Output: 1026
Explanation:
The root-to-leaf path 4->9->5 represents the number 495.
The root-to-leaf path 4->9->1 represents the number 491.
The root-to-leaf path 4->0 represents the number 40.
Therefore, sum = 495 + 491 + 40 = 1026.

 

Constraints:

  • The number of nodes in the tree is in the range [1, 1000].
  • 0 <= Node.val <= 9
  • The depth of the tree will not exceed 10.

Solutions

Solution 1: DFS

We can design a function dfs(root, s), which represents the sum of all path numbers from the current node root to the leaf nodes, given that the current path number is s. The answer is dfs(root, 0).

The calculation of the function dfs(root, s) is as follows:

  • If the current node root is null, return 0.
  • Otherwise, add the value of the current node to s, i.e., s = s × 10 + root.val.
  • If the current node is a leaf node, return s.
  • Otherwise, return dfs(root.left, s) + dfs(root.right, s).

The time complexity is O(n), and the space complexity is O(log n). Here, n is the number of nodes in the binary tree.

PythonJavaC++GoTypeScriptRustJavaScriptC
# 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 sumNumbers(self, root: Optional[TreeNode]) -> int: def dfs(root, s): if root is None: return 0 s = s * 10 + root.val if root.left is None and root.right is None: return s return dfs(root.left, s) + dfs(root.right, s) return dfs(root, 0)(code-box)

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