Merge Two Binary Trees — LeetCode 617 Python Solution
EasyTreeDepth-First SearchBreadth-First SearchBinary Tree
- Problem
- #617
- Pattern
- Tree Traversal
- Reading time
- 3 min
- Source
- leetcode.com
The problem
You are given two binary trees root1 and root2. Imagine that when you put one of them to cover the other, some nodes of the two trees are overlapped while the others are not.
Example
- Input
- root1 = [1,3,2,5], root2 = [2,1,3,null,4,null,7]
- Output
- [3,4,5,5,4,null,7]
Python solution
Python
# 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 mergeTrees(
self, root1: Optional[TreeNode], root2: Optional[TreeNode]
) -> Optional[TreeNode]:
if root1 is None:
return root2
if root2 is None:
return root1
node = TreeNode(root1.val + root2.val)
node.left = self.mergeTrees(root1.left, root2.left)
node.right = self.mergeTrees(root1.right, root2.right)
return nodeComplexity
| Measure | Complexity |
|---|---|
| Time | O(V+E) |
| Space | O(V) auxiliary |
Pattern: Tree Traversal
Choose the order — preorder, inorder, postorder, level — and the problem solves itself. LeetCode 617. Merge Two Binary Trees is filed here because LeetCode tags it Tree and Binary Tree, which is the vocabulary this hub collects.
The tree traversal guide has the Python template for the pattern and the 225 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 617. Merge Two Binary Trees?
- LeetCode 617. Merge Two Binary Trees is rated Easy on LeetCode.
- What is the time complexity of LeetCode 617. Merge Two Binary Trees?
- The Python solution on this page runs in O(V+E).
- What is the space complexity of LeetCode 617. Merge Two Binary Trees?
- The Python solution on this page uses O(V) auxiliary space.
- What topics does LeetCode 617. Merge Two Binary Trees cover?
- LeetCode 617. Merge Two Binary Trees is tagged Tree, Depth-First Search, Breadth-First Search and Binary Tree on LeetCode.