Easy
You are given an array nums
of n
integers and two integers k
and x
.
The x-sum of an array is calculated by the following procedure:
x
most frequent elements. If two elements have the same number of occurrences, the element with the bigger value is considered more frequent.Note that if an array has less than x
distinct elements, its x-sum is the sum of the array.
Return an integer array answer
of length n - k + 1
where answer[i]
is the x-sum of the subarray nums[i..i + k - 1]
.
Example 1:
Input: nums = [1,1,2,2,3,4,2,3], k = 6, x = 2
Output: [6,10,12]
Explanation:
[1, 1, 2, 2, 3, 4]
, only elements 1 and 2 will be kept in the resulting array. Hence, answer[0] = 1 + 1 + 2 + 2
.[1, 2, 2, 3, 4, 2]
, only elements 2 and 4 will be kept in the resulting array. Hence, answer[1] = 2 + 2 + 2 + 4
. Note that 4 is kept in the array since it is bigger than 3 and 1 which occur the same number of times.[2, 2, 3, 4, 2, 3]
, only elements 2 and 3 are kept in the resulting array. Hence, answer[2] = 2 + 2 + 2 + 3 + 3
.Example 2:
Input: nums = [3,8,7,8,7,5], k = 2, x = 2
Output: [11,15,15,15,12]
Explanation:
Since k == x
, answer[i]
is equal to the sum of the subarray nums[i..i + k - 1]
.
Constraints:
1 <= n == nums.length <= 50
1 <= nums[i] <= 50
1 <= x <= k <= nums.length
import java.util.Comparator
import java.util.HashMap
import java.util.PriorityQueue
class Solution {
private class Pair(num: Int, freq: Int) {
var num: Int
var freq: Int
init {
this.num = num
this.freq = freq
}
}
fun findXSum(nums: IntArray, k: Int, x: Int): IntArray {
val n = nums.size
val ans = IntArray(n - k + 1)
for (i in 0 until n - k + 1) {
val map = HashMap<Int, Int>()
val pq =
PriorityQueue<Pair>(
Comparator { a: Pair, b: Pair ->
if (a.freq == b.freq) {
return@Comparator b.num - a.num
}
b.freq - a.freq
},
)
for (j in i until i + k) {
map.put(nums[j], map.getOrDefault(nums[j], 0) + 1)
}
for (entry in map.entries) {
pq.add(Pair(entry.key, entry.value))
}
var count = x
var sum = 0
while (pq.isNotEmpty() && count > 0) {
val pair = pq.remove()
sum += pair.num * pair.freq
count--
}
ans[i] = sum
}
return ans
}
}