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Java-based LeetCode algorithm problem solutions, regularly updated
package g1001_1100.s1090_largest_values_from_labels;
// #Medium #Array #Hash_Table #Sorting #Greedy #Counting
// #2022_02_23_Time_14_ms_(95.96%)_Space_43.2_MB_(80.43%)
import java.util.HashMap;
import java.util.PriorityQueue;
/**
* 1090 - Largest Values From Labels\.
*
* Medium
*
* There is a set of `n` items. You are given two integer arrays `values` and `labels` where the value and the label of the ith
element are `values[i]` and `labels[i]` respectively. You are also given two integers `numWanted` and `useLimit`.
*
* Choose a subset `s` of the `n` elements such that:
*
* * The size of the subset `s` is **less than or equal to** `numWanted`.
* * There are **at most** `useLimit` items with the same label in `s`.
*
* The **score** of a subset is the sum of the values in the subset.
*
* Return _the maximum **score** of a subset_ `s`.
*
* **Example 1:**
*
* **Input:** values = [5,4,3,2,1], labels = [1,1,2,2,3], numWanted = 3, useLimit = 1
*
* **Output:** 9
*
* **Explanation:** The subset chosen is the first, third, and fifth items.
*
* **Example 2:**
*
* **Input:** values = [5,4,3,2,1], labels = [1,3,3,3,2], numWanted = 3, useLimit = 2
*
* **Output:** 12
*
* **Explanation:** The subset chosen is the first, second, and third items.
*
* **Example 3:**
*
* **Input:** values = [9,8,8,7,6], labels = [0,0,0,1,1], numWanted = 3, useLimit = 1
*
* **Output:** 16
*
* **Explanation:** The subset chosen is the first and fourth items.
*
* **Constraints:**
*
* * `n == values.length == labels.length`
* * 1 <= n <= 2 * 104
* * 0 <= values[i], labels[i] <= 2 * 104
* * `1 <= numWanted, useLimit <= n`
**/
public class Solution {
private static class Node {
int val;
int label;
Node(int val, int label) {
this.val = val;
this.label = label;
}
}
public int largestValsFromLabels(int[] values, int[] labels, int numWanted, int useLimit) {
PriorityQueue maxHeap =
new PriorityQueue<>((a, b) -> b.val != a.val ? b.val - a.val : a.label - b.label);
int n = values.length;
for (int i = 0; i < n; i++) {
maxHeap.offer(new Node(values[i], labels[i]));
}
int ans = 0;
HashMap labelAddedCount = new HashMap<>();
while (!maxHeap.isEmpty() && numWanted > 0) {
Node cur = maxHeap.poll();
if (labelAddedCount.containsKey(cur.label)
&& labelAddedCount.get(cur.label) >= useLimit) {
continue;
}
if (cur.val > 0) {
ans += cur.val;
labelAddedCount.put(cur.label, labelAddedCount.getOrDefault(cur.label, 0) + 1);
numWanted--;
}
}
return ans;
}
}
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