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In this approach, we first calculate the total number of candies Alice and Bob have, respectively. Let this be sumA for Alice and sumB for Bob. If Alice swaps a candy box with x candies and Bob swaps a box with y candies, the condition to balance their total candies after swap can be derived as: sumA - x + y = sumB - y + x. Simplifying this, we get y = x + (sumB - sumA) / 2. Using this equation, we can loop through one person's candy sizes array and for each candy size, compute the necessary size from the other person's array and check if it exists using a set for quick lookup.
Time Complexity: O(n + m), where n is the length of aliceSizes and m is the length of bobSizes. This is because we iterate over each list once and use constant time checks for the existence of an element in Bob's collection.
Space Complexity: O(m), due to the additional space used for storing Bob's candy sizes in a set.
1var fairCandySwap = function(aliceSizes, bobSizes) {
2 let sumA = aliceSizes.reduce((a, b) => a + b, 0);
3The JavaScript code processes the input arrays to calculate the required difference ('delta') and uses a Set to efficiently check existences in Bob's candy sizes. The algorithm then iterates over Alice's sizes to determine and return a suitable exchange of candies.
This approach involves first sorting both the candy size arrays of Alice and Bob. The idea is to use a two-pointer technique to find a suitable pair of candy boxes such that swapping them would balance Alice's and Bob's total candies. Once both lists are sorted, use two pointers, starting at the beginnings of Alice's and Bob's lists, and adjust them based on the comparison of their sums to find the correct swap.
Time Complexity: O(n log n + m log m), due to the sorting step. The subsequent linear scan is O(n + m).
Space Complexity: O(1), with only a few additional variables used.
public class Solution {
public int[] FairCandySwap(int[] aliceSizes, int[] bobSizes) {
Array.Sort(aliceSizes);
Array.Sort(bobSizes);
int sumA = 0, sumB = 0;
foreach (int x in aliceSizes) sumA += x;
foreach (int y in bobSizes) sumB += y;
int delta = (sumB - sumA) / 2;
int i = 0, j = 0;
while (i < aliceSizes.Length && j < bobSizes.Length) {
int diff = bobSizes[j] - aliceSizes[i];
if (diff == delta) {
return new int[] { aliceSizes[i], bobSizes[j] };
} else if (diff < delta) {
j++;
} else {
i++;
}
}
return null; // This line should not be reached
}
}Utilizing Array.Sort, the C# example sorts both candy sizes, allowing two pointers to efficiently look for the correct candy swap by evaluating the delta difference. The concise nature of this approach makes it effective in finding a swap once both lists are sorted.