House Robber II — LeetCode 213 Python Solution
- Problem
- #213
- Pattern
- Dynamic Programming
- Reading time
- 2 min
- Source
- leetcode.com
The problem
You are a professional robber planning to rob houses along a street. Each house has a certain amount of money stashed.
Example
- Input
- nums = [2,3,2]
- Output
- 3
- Explanation
- You cannot rob house 1 (money = 2) and then rob house 3 (money = 2), because they are adjacent houses.
Python solution
class Solution:
def rob(self, nums: List[int]) -> int:
def _rob(nums):
f = g = 0
for x in nums:
f, g = max(f, g), f + x
return max(f, g)
if len(nums) == 1:
return nums[0]
return max(_rob(nums[1:]), _rob(nums[:-1]))Complexity
| Measure | Complexity |
|---|---|
| Time | O(n), where n is the length of the array |
| Space | O(1) auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 213. House Robber II is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
Related problems
On study lists
This problem is on Blind 75 and NeetCode 150.
Frequently asked questions
- How hard is LeetCode 213. House Robber II?
- LeetCode 213. House Robber II is rated Medium on LeetCode.
- What is the time complexity of LeetCode 213. House Robber II?
- The Python solution on this page runs in O(n), where n is the length of the array.
- What is the space complexity of LeetCode 213. House Robber II?
- The Python solution on this page uses O(1) auxiliary space.
- What topics does LeetCode 213. House Robber II cover?
- LeetCode 213. House Robber II is tagged Array and Dynamic Programming on LeetCode.