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How to Solve Fair Candy Swap Problem
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LeetCode ProblemFair Candy Swap
Alice and Bob have a different total number of candies. You are given two integer arrays aliceSizes and bobSizes where aliceSizes[i] is the number of candies of the ith box of candy that Alice has and bobSizes[j] is the number of candies of the jth box of candy that Bob has. Since they are friends, they would like to exchange one candy box each so that after the exchange, they both have the same total amount of candy. The total amount of candy a person has is the sum of the number of candies in each box they have. Return an integer array answer where answer[0] is the number of candies in the box that Alice must exchange, and answer[1] is the number of candies in the box that Bob must exchange. If there are multiple answers, you may return any one of them. It is guaranteed that at least one answer exists.
ArrayHash TableBinary SearchSorting
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Problem Breakdown
Understanding the Fair Candy Swap Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
Alice and Bob have a different total number of candies. You are given two integer arrays aliceSizes and bobSizes where aliceSizes[i] is the number of candies of the ith box of candy that Alice has and bobSizes[j] is the number of candies of the jth box of candy that Bob has. Since they are friends, they would like to exchange one candy box each so that after the exchange, they both have the same total amount of candy. The total amount of candy a person has is the sum of the number of candies in each box they have. Return an integer array answer where answer[0] is the number of candies in the box that Alice must exchange, and answer[1] is the number of candies in the box that Bob must exchange. If there are multiple answers, you may return any one of them. It is guaranteed that at least one answer exists.
EasyProblem #888
LeetCodeFair Candy Swap
Related Topics
ArrayHash TableBinary SearchSorting
How Phantom Code Helps
Get real-time assistance for Fair Candy Swap problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
aliceSizes = [1,1], bobSizes = [2,2]
Output
[1,2]
# Example 2
Input
aliceSizes = [1,2], bobSizes = [2,3]
Output
[1,2]
# Example 3
Input
aliceSizes = [2], bobSizes = [1,3]
Output
[2,3]
Constraints
1 <= aliceSizes.length, bobSizes.length <= 104
1 <= aliceSizes[i], bobSizes[j] <= 105
Alice and Bob have a different total number of candies.
There will be at least one valid answer for the given input.
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Solve Fair Candy Swap — Alice and Bob have a different total number of candies. You are given two intege...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Fair Candy Swap and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Fair Candy Swap during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Fair Candy Swap?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Fair Candy Swap?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Fair Candy Swap type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Fair Candy Swap interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Fair Candy Swap during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Fair Candy Swap style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Fair Candy Swap interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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