Medium
You are given an array of intervals
, where intervals[i] = [starti, endi]
and each starti
is unique.
The right interval for an interval i
is an interval j
such that startj >= endi
and startj
is minimized. Note that i
may equal j
.
Return an array of right interval indices for each interval i
. If no right interval exists for interval i
, then put -1
at index i
.
Example 1:
Input: intervals = [[1,2]]
Output: [-1]
Explanation: There is only one interval in the collection, so it outputs -1.
Example 2:
Input: intervals = [[3,4],[2,3],[1,2]]
Output: [-1,0,1]
Explanation: There is no right interval for [3,4].
The right interval for [2,3] is [3,4] since start0 = 3 is the smallest start that is >= end1 = 3.
The right interval for [1,2] is [2,3] since start1 = 2 is the smallest start that is >= end2 = 2.
Example 3:
Input: intervals = [[1,4],[2,3],[3,4]]
Output: [-1,2,-1]
Explanation: There is no right interval for [1,4] and [3,4]. The right interval for [2,3] is [3,4] since start2 = 3 is the smallest start that is >= end1 = 3.
Constraints:
1 <= intervals.length <= 2 * 104
intervals[i].length == 2
-106 <= starti <= endi <= 106
import java.util.function.Function
class Solution {
private fun findminmax(num: Array<IntArray>): IntArray {
var min = num[0][0]
var max = num[0][0]
for (i in 1 until num.size) {
min = Math.min(min, num[i][0])
max = Math.max(max, num[i][0])
}
return intArrayOf(min, max)
}
fun findRightInterval(intervals: Array<IntArray>): IntArray {
if (intervals.size <= 1) {
return intArrayOf(-1)
}
val n = intervals.size
val result = IntArray(n)
val map: MutableMap<Int, Int?> = HashMap()
for (i in 0 until n) {
map[intervals[i][0]] = i
}
val minmax = findminmax(intervals)
for (i in minmax[1] - 1 downTo minmax[0] + 1) {
map.computeIfAbsent(i, Function { k: Int -> map[k + 1] })
}
for (i in 0 until n) {
result[i] = map.getOrDefault(intervals[i][1], -1)!!
}
return result
}
}