We have a set of items: the i
-th item has value values[i]
and label labels[i]
.
Then, we choose a subset S
of these items, such that:
|S| <= num_wanted
- For every label
L
, the number of items inS
with labelL
is<= use_limit
.
Return the largest possible sum of the subset S
.
Example 1:
Input: values = [5,4,3,2,1], labels = [1,1,2,2,3], num_wanted
= 3, use_limit = 1
Output: 9
Explanation: The subset chosen is the first, third, and fifth item.
Example 2:
Input: values = [5,4,3,2,1], labels = [1,3,3,3,2], num_wanted
= 3, use_limit = 2
Output: 12
Explanation: The subset chosen is the first, second, and third item.
Example 3:
Input: values = [9,8,8,7,6], labels = [0,0,0,1,1], num_wanted
= 3, use_limit = 1
Output: 16
Explanation: The subset chosen is the first and fourth item.
Example 4:
Input: values = [9,8,8,7,6], labels = [0,0,0,1,1], num_wanted
= 3, use_limit = 2
Output: 24
Explanation: The subset chosen is the first, second, and fourth item.
Note:
1 <= values.length == labels.length <= 20000
0 <= values[i], labels[i] <= 20000
1 <= num_wanted, use_limit <= values.length
Related Topics:
Hash Table, Greedy
// OJ: https://leetcode.com/problems/largest-values-from-labels/
// Author: github.com/lzl124631x
// Time: O(NlogN)
// Space: O(N)
class Solution {
public:
int largestValsFromLabels(vector<int>& values, vector<int>& labels, int num_wanted, int use_limit) {
int N = values.size();
vector<int> id(N);
iota(begin(id), end(id), 0);
sort(begin(id), end(id), [&](int a, int b) { return values[a] > values[b]; });
unordered_map<int, int> m;
int ans = 0;
for (int i = 0; i < N && num_wanted > 0; ++i) {
int j = id[i];
if (m[labels[j]] >= use_limit) continue;
ans += values[j];
m[labels[j]]++;
num_wanted--;
}
return ans;
}
};