You are given N counters, initially set to 0, and you have two possible operations on them:
- increase(X) − counter X is increased by 1,
- max counter − all counters are set to the maximum value of any counter.
A non-empty zero-indexed array A of M integers is given. This array represents consecutive operations:
- if A[K] = X, such that 1 ≤ X ≤ N, then operation K is increase(X),
- if A[K] = N + 1 then operation K is max counter.
For example, given integer N = 5 and array A such that:
A[0] = 3 A[1] = 4 A[2] = 4 A[3] = 6 A[4] = 1 A[5] = 4 A[6] = 4
the values of the counters after each consecutive operation will be:
(0, 0, 1, 0, 0) (0, 0, 1, 1, 0) (0, 0, 1, 2, 0) (2, 2, 2, 2, 2) (3, 2, 2, 2, 2) (3, 2, 2, 3, 2) (3, 2, 2, 4, 2)
The goal is to calculate the value of every counter after all operations.
Assume that:
- N and M are integers within the range [1..100,000];
- each element of array A is an integer within the range [1..N + 1].
MY SOLUTION (88% - 100% results, 80% performance, time complexity O(n+M))
using System;
using System.Collections.Generic;
using System.Linq;
class Solution {
public int[] solution(int N, int[] A) {
int l = A.Length;
int [] result = new int [N];
int maxCounter=0;
for (int i=0; i<l; i++)
{
if (A[i]>=1 && A[i]<=N)
{
result[A[i]-1] +=1;
if ((result[A[i]-1]) > maxCounter)
maxCounter = result[A[i]-1];
}
if (A[i] == N+1)
{
for (int j=0; j<N; j++) result[j] = maxCounter;
}
}
return result;
}
}
There is one performance test that fails:
extreme_large all max_counter operations | >6.000 s | TIMEOUT ERROR running time: >6.00 sec., time limit: 0.49 sec. |
PR
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