
In this problem, Alice and Bob have collections of candy boxes, each containing a certain number of candies. The collections are represented as integer arrays aliceSizes and bobSizes, where each element corresponds to the number of candies in a specific candy box. The goal is to find a single box from Alice's collection and another from Bob's collection to swap, so that after the exchange, both Alice and Bob have the same total amount of candies. Each person’s total amount of candy is the sum of their individual boxes. The function should return an array consisting of two integers, representing the number of candies in the boxes to be exchanged between Alice and Bob. If multiple solutions are possible, any valid solution can be returned.
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1 <= aliceSizes.length, bobSizes.length <= 1041 <= aliceSizes[i], bobSizes[j] <= 105To solve this problem, you need to ensure that after Alice and Bob swap one box each, their total number of candies becomes equal. For this, one can leverage a handy mathematical trick involving sum differences:
aliceSizes and bobSizes), that when swapped would balance their totals.Let's simplify the process into steps:
aliceSizes and bobSizes, called sumA and sumB respectively.diff = (sumA - sumB) / 2.diff candies, and Bob must gain diff candies or vice versa.aliceSizes in a set.bobSizes), and for each candy count b in bobSizes, check if b + diff exists in the set of aliceSizes.b coming from Bob's box, when increased by diff, equals a candy count in one of Alice's boxes. This can be your potential exchange pair.By employing this approach based on set look-ups and simple arithmetic operations, we can efficiently determine a valid box swap that allows Alice and Bob to equalize their total candy count.
This Java solution addresses the problem of finding a fair candy swap between Alice and Bob such that they both have the same total amount of candies after the exchange. The provided code systematically computes the total candies each has, establishes the difference divided by two to facilitate an equitable swap, and then uses a HashSet for efficient lookup.
Follow the guide below to understand how this algorithm works:
This code leverages the properties of HashSet like constant time complexity for average-case add and contains operations, making the check for matching the required difference efficient.
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