Medium
You are given an integer array heights
representing the heights of buildings, some bricks
, and some ladders
.
You start your journey from building 0
and move to the next building by possibly using bricks or ladders.
While moving from building i
to building i+1
(0-indexed),
(h[i+1] - h[i])
bricks.Return the furthest building index (0-indexed) you can reach if you use the given ladders and bricks optimally.
Example 1:
Input: heights = [4,2,7,6,9,14,12], bricks = 5, ladders = 1
Output: 4
Explanation: Starting at building 0, you can follow these steps:
Go to building 1 without using ladders nor bricks since 4 >= 2.
Go to building 2 using 5 bricks. You must use either bricks or ladders because 2 < 7.
Go to building 3 without using ladders nor bricks since 7 >= 6.
Go to building 4 using your only ladder. You must use either bricks or ladders because 6 < 9.
It is impossible to go beyond building 4 because you do not have any more bricks or ladders.
Example 2:
Input: heights = [4,12,2,7,3,18,20,3,19], bricks = 10, ladders = 2
Output: 7
Example 3:
Input: heights = [14,3,19,3], bricks = 17, ladders = 0
Output: 3
Constraints:
1 <= heights.length <= 105
1 <= heights[i] <= 106
0 <= bricks <= 109
0 <= ladders <= heights.length
import java.util.PriorityQueue
@Suppress("NAME_SHADOWING")
class Solution {
fun furthestBuilding(heights: IntArray, bricks: Int, ladders: Int): Int {
var bricks = bricks
val minHeap = PriorityQueue<Int>()
var i = 0
// we'll assume to use ladders for the first l jumps and adjust it afterwards
while (i < heights.size - 1 && minHeap.size < ladders) {
val diff = heights[i + 1] - heights[i]
if (diff > 0) {
minHeap.offer(diff)
}
i++
}
while (i < heights.size - 1) {
val diff = heights[i + 1] - heights[i]
if (diff > 0) {
if (minHeap.isNotEmpty() && minHeap.peek() < diff) {
bricks -= minHeap.poll()
minHeap.offer(diff)
} else {
bricks -= diff
}
if (bricks < 0) {
return i
}
}
i++
}
return i
}
}