Skip to content

Latest commit

 

History

History

s2551_put_marbles_in_bags

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 

2551. Put Marbles in Bags

Hard

You have k bags. You are given a 0-indexed integer array weights where weights[i] is the weight of the ith marble. You are also given the integer k.

Divide the marbles into the k bags according to the following rules:

  • No bag is empty.
  • If the ith marble and jth marble are in a bag, then all marbles with an index between the ith and jth indices should also be in that same bag.
  • If a bag consists of all the marbles with an index from i to j inclusively, then the cost of the bag is weights[i] + weights[j].

The score after distributing the marbles is the sum of the costs of all the k bags.

Return the difference between the maximum and minimum scores among marble distributions.

Example 1:

Input: weights = [1,3,5,1], k = 2

Output: 4

Explanation:

The distribution [1],[3,5,1] results in the minimal score of (1+1) + (3+1) = 6.

The distribution [1,3],[5,1], results in the maximal score of (1+3) + (5+1) = 10.

Thus, we return their difference 10 - 6 = 4.

Example 2:

Input: weights = [1, 3], k = 2

Output: 0

Explanation:

The only distribution possible is [1],[3].

Since both the maximal and minimal score are the same, we return 0.

Constraints:

  • 1 <= k <= weights.length <= 105
  • 1 <= weights[i] <= 109

Solution

import java.util.PriorityQueue

class Solution {
    fun putMarbles(weights: IntArray, k: Int): Long {
        if (k == 1 || k == weights.size) {
            return 0
        }
        val min = PriorityQueue<Long>()
        val max = PriorityQueue { a: Long, b: Long ->
            b.compareTo(a)
        }
        for (i in 0 until weights.size - 1) {
            val sum = weights[i].toLong() + weights[i + 1]
            min.offer(sum)
            max.offer(sum)
            if (min.size == k) {
                min.poll()
            }
            if (max.size == k) {
                max.poll()
            }
        }
        var res: Long = 0
        while (max.isNotEmpty()) {
            res += min.poll() - max.poll()
        }
        return res
    }
}