Medium
There are n
points on a road you are driving your taxi on. The n
points on the road are labeled from 1
to n
in the direction you are going, and you want to drive from point 1
to point n
to make money by picking up passengers. You cannot change the direction of the taxi.
The passengers are represented by a 0-indexed 2D integer array rides
, where rides[i] = [starti, endi, tipi]
denotes the ith
passenger requesting a ride from point starti
to point endi
who is willing to give a tipi
dollar tip.
For each passenger i
you pick up, you earn endi - starti + tipi
dollars. You may only drive at most one passenger at a time.
Given n
and rides
, return the maximum number of dollars you can earn by picking up the passengers optimally.
Note: You may drop off a passenger and pick up a different passenger at the same point.
Example 1:
Input: n = 5, rides = [[2,5,4],[1,5,1]]
Output: 7
Explanation: We can pick up passenger 0 to earn 5 - 2 + 4 = 7 dollars.
Example 2:
Input: n = 20, rides = [[1,6,1],[3,10,2],[10,12,3],[11,12,2],[12,15,2],[13,18,1]]
Output: 20
Explanation: We will pick up the following passengers:
Drive passenger 1 from point 3 to point 10 for a profit of 10 - 3 + 2 = 9 dollars.
Drive passenger 2 from point 10 to point 12 for a profit of 12 - 10 + 3 = 5 dollars.
Drive passenger 5 from point 13 to point 18 for a profit of 18 - 13 + 1 = 6 dollars.
We earn 9 + 5 + 6 = 20 dollars in total.
Constraints:
1 <= n <= 105
1 <= rides.length <= 3 * 104
rides[i].length == 3
1 <= starti < endi <= n
1 <= tipi <= 105
import java.util.PriorityQueue
@Suppress("UNUSED_PARAMETER")
class Solution {
fun maxTaxiEarnings(n: Int, rides: Array<IntArray>): Long {
// Sort based on start time
rides.sortWith { a: IntArray, b: IntArray ->
a[0] - b[0]
}
var max: Long = 0
// Storing Long array instead of Int array, since max value is long.
// Sort based on end time
val myQueue = PriorityQueue { a: LongArray, b: LongArray ->
java.lang.Long.compare(
a[0],
b[0],
)
}
for (i in rides.indices) {
val start = rides[i][0]
val end = rides[i][1]
val profit = end - start + java.lang.Long.valueOf(rides[i][2].toLong())
while (myQueue.isNotEmpty() && start >= myQueue.peek()[0]) {
max = max.coerceAtLeast(myQueue.peek()[1])
myQueue.poll()
}
myQueue.offer(longArrayOf(end.toLong(), profit + max))
}
while (myQueue.isNotEmpty()) {
max = max.coerceAtLeast(myQueue.poll()[1])
}
return max
}
}