Problem · Array
Optimizing Box Weights
Learn this problemProblem statement
An Amazon Fulfillment Associate has a set of items that need to be packed into two boxes. Given an integer array of the item weights (arr) to be packed, divide the item weights into two subsets, A and B, for packing into the associated boxes, while respecting the following conditions:
Return the subset A in increasing order where the sum of A's weights is greater than the sum of B's weights. If more than one subset A exists, return the one with the maximal total weight.
Function
minimalHeaviestSetA(arr: int[]) → int[]
Complete the function minimalHeaviestSetA in the editor below.
minimalHeaviestSetA has the following parameter(s):
int arr[]: an integer array of the weights of each item in the set
Returns
int[]: an integer array with the values of subset A
Examples
Example 1
arr = [5, 3, 2, 4, 1, 2]return = [4, 5]The subset of A that satisfies the conditions is [4, 5]:
A is minimal (size 2)
Sum(A) = (4 + 5) = 9 > Sum(B) = (1 + 2 + 2 + 3) = 8
The intersection of A and B is null and their union is equal to arr.
The subset A with the maximal sum is [4, 5].
Example 2
arr = [4, 2, 5, 1, 6]return = [5, 6]The subset of A that satisfies the conditions is [5, 6]:
A is minimal (size 2)
Sum(A) = (5 + 6) = 11 > Sum(B) = (1 + 2 + 4) = 7
Sum(A) = (4 + 6) = 10 > Sum(B) = (1 + 2 + 5) = 8
The intersection of A and B is null and their union is equal to arr.
The subset A with the maximal sum is [5, 6].
Example 3
arr = [3, 7, 5, 6, 2]return = [6, 7]The 2 subsets in arr that satisfy the conditions for A are [5, 7] and [6, 7]:
A is minimal (size 2)
Sum(A) = (5 + 7) = 12 > Sum(B) = (2 + 3 + 6) = 11
Sum(A) = (6 + 7) = 13 > Sum(B) = (2 + 3 + 5) = 10
The intersection of A and B is null and their union is equal to arr.
The subset A where the sum of its weight is maximal is [6, 7].
Constraints
1 ≤ n ≤ 10^51 ≤ arr[i] ≤ 10^4(where0 ≤ i < n)
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