Cycle Length Queries in a Tree — LeetCode 2509 Python Solution
HardTreeArrayBinary Tree
- Problem
- #2509
- Pattern
- Tree Traversal
- Reading time
- 3 min
- Source
- leetcode.com
The problem
You are given an integer n. There is a complete binary tree with 2n - 1 nodes.
Example
- Input
- n = 3, queries = [[5,3],[4,7],[2,3]]
- Output
- [4,5,3]
- Explanation
- The diagrams above show the tree of 23 - 1 nodes. Nodes colored in red describe the nodes in the cycle after adding the edge.
Python solution
Python
class Solution:
def cycleLengthQueries(self, n: int, queries: List[List[int]]) -> List[int]:
ans = []
for a, b in queries:
t = 1
while a != b:
if a > b:
a >>= 1
else:
b >>= 1
t += 1
ans.append(t)
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n \times m), where m is the length of the `queries` array |
| Space | O(h) auxiliary |
Pattern: Tree Traversal
Choose the order — preorder, inorder, postorder, level — and the problem solves itself. LeetCode 2509. Cycle Length Queries in a Tree is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Tree and Binary Tree.
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 2509. Cycle Length Queries in a Tree?
- LeetCode 2509. Cycle Length Queries in a Tree is rated Hard on LeetCode.
- What is the time complexity of LeetCode 2509. Cycle Length Queries in a Tree?
- The Python solution on this page runs in O(n \times m), where m is the length of the `queries` array.
- What is the space complexity of LeetCode 2509. Cycle Length Queries in a Tree?
- The Python solution on this page uses O(h) auxiliary space.
- What topics does LeetCode 2509. Cycle Length Queries in a Tree cover?
- LeetCode 2509. Cycle Length Queries in a Tree is tagged Tree, Array and Binary Tree on LeetCode.