Description
https://leetcode.com/problems/heaters/
Winter is coming! During the contest, your first job is to design a standard heater with a fixed warm radius to warm all the houses.
Every house can be warmed, as long as the house is within the heater’s warm radius range.
Given the positions of houses
and heaters
on a horizontal line, return the minimum radius standard of heaters so that those heaters could cover all houses.
Notice that all the heaters
follow your radius standard, and the warm radius will the same.
Example 1:
Input: houses = [1,2,3], heaters = [2] Output: 1 Explanation: The only heater was placed in the position 2, and if we use the radius 1 standard, then all the houses can be warmed.
Example 2:
Input: houses = [1,2,3,4], heaters = [1,4] Output: 1 Explanation: The two heater was placed in the position 1 and 4. We need to use radius 1 standard, then all the houses can be warmed.
Example 3:
Input: houses = [1,5], heaters = [2] Output: 3
Constraints:
1 <= houses.length, heaters.length <= 3 * 104
1 <= houses[i], heaters[i] <= 109
Python Solution
Use binary search to find the max distance between all closest pairs of house and heater.
class Solution:
def findRadius(self, houses: List[int], heaters: List[int]) -> int:
heaters.sort()
min_heat_radius = 0
for house in houses:
radius = self.get_min_heat_radius(house, heaters)
min_heat_radius = max(min_heat_radius, radius)
return min_heat_radius
def get_min_heat_radius(self, house, heaters):
left = 0
right = len(heaters) - 1
while left + 1 < right:
mid = left + (right - left) // 2
if heaters[mid] <= house:
left = mid
else:
right = mid
return min(abs(heaters[left] - house), abs(heaters[right] - house))
- Time Complexity: O(MlogM + NlogM), M is the number of heaters, N is the number of houses.
- Space Complexity: O(1).
Nginx is a free open-source web server with high performance and low weight, used as a load balancer, reverse proxy, HTTP cache and mail proxy. Alread more , with screen shot and code snipets at
Nginx Performance Tuning