Medium
The problem involves tracking the frequency of IDs in a collection that changes over time. You have two integer arrays, nums
and freq
, of equal length n
. Each element in nums
represents an ID, and the corresponding element in freq
indicates how many times that ID should be added to or removed from the collection at each step.
freq[i]
is positive, it means freq[i]
IDs with the value nums[i]
are added to the collection at step i
.freq[i]
is negative, it means -freq[i]
IDs with the value nums[i]
are removed from the collection at step i
.Return an array ans
of length n
, where ans[i]
represents the count of the most frequent ID in the collection after the ith
step. If the collection is empty at any step, ans[i]
should be 0 for that step.
Example 1:
Input: nums = [2,3,2,1], freq = [3,2,-3,1]
Output: [3,3,2,2]
Explanation:
After step 0, we have 3 IDs with the value of 2. So ans[0] = 3
.
After step 1, we have 3 IDs with the value of 2 and 2 IDs with the value of 3. So ans[1] = 3
.
After step 2, we have 2 IDs with the value of 3. So ans[2] = 2
.
After step 3, we have 2 IDs with the value of 3 and 1 ID with the value of 1. So ans[3] = 2
.
Example 2:
Input: nums = [5,5,3], freq = [2,-2,1]
Output: [2,0,1]
Explanation:
After step 0, we have 2 IDs with the value of 5. So ans[0] = 2
.
After step 1, there are no IDs. So ans[1] = 0
.
After step 2, we have 1 ID with the value of 3. So ans[2] = 1
.
Constraints:
1 <= nums.length == freq.length <= 105
1 <= nums[i] <= 105
-105 <= freq[i] <= 105
freq[i] != 0
import kotlin.math.max
class Solution {
fun mostFrequentIDs(nums: IntArray, freq: IntArray): LongArray {
var max = Int.MIN_VALUE
val n = nums.size
for (num in nums) {
max = max(max.toDouble(), num.toDouble()).toInt()
}
val bins = LongArray(max + 1)
var mostFrequentID = 0
var maxCount: Long = 0
val ans = LongArray(n)
for (i in 0 until n) {
bins[nums[i]] += freq[i].toLong()
if (freq[i] > 0) {
if (bins[nums[i]] > maxCount) {
maxCount = bins[nums[i]]
mostFrequentID = nums[i]
}
} else {
if (nums[i] == mostFrequentID) {
maxCount = bins[nums[i]]
for (j in 0..max) {
if (bins[j] > maxCount) {
maxCount = bins[j]
mostFrequentID = j
}
}
}
}
ans[i] = maxCount
}
return ans
}
}