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The goal is to find the maximum number of unique types of candies Alice can eat. We can take the following steps:
maxCandies = n / 2
.maxCandies
.Time Complexity: O(n) because we iterate over the array to create the set.
Space Complexity: O(n) for storing the unique types in a set.
1using System;
2using System.Collections.Generic;
3
4public class Solution {
5 public int DistributeCandies(int[] candyType) {
6 HashSet<int> uniqueCandies = new HashSet<int>(candyType);
7 return Math.Min(uniqueCandies.Count, candyType.Length / 2);
8 }
9}
This C# solution employs a HashSet to track unique candy types, then computes the result by taking the minimum between unique types and n / 2
.
For another perspective:
n / 2
.Time Complexity: O(n) for creating the counter.
Space Complexity: O(n) for storing unique types in the counter.
1using System.Collections.Generic;
public class Solution {
public int DistributeCandies(int[] candyType) {
Dictionary<int, int> candyMap = new Dictionary<int, int>();
foreach (var candy in candyType) {
if (!candyMap.ContainsKey(candy)) {
candyMap[candy] = 0;
}
candyMap[candy]++;
}
return Math.Min(candyMap.Count, candyType.Length / 2);
}
}
C# solution with Dictionary to tabulate candy counts, checking count of keys versus n / 2
for the answer.