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How to Solve Card Flipping Game Problem
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Medium#822
LeetCode ProblemCard Flipping Game
You are given two 0-indexed integer arrays fronts and backs of length n, where the ith card has the positive integer fronts[i] printed on the front and backs[i] printed on the back. Initially, each card is placed on a table such that the front number is facing up and the other is facing down. You may flip over any number of cards (possibly zero). After flipping the cards, an integer is considered good if it is facing down on some card and not facing up on any card. Return the minimum possible good integer after flipping the cards. If there are no good integers, return 0.
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Problem Breakdown
Understanding the Card Flipping Game Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given two 0-indexed integer arrays fronts and backs of length n, where the ith card has the positive integer fronts[i] printed on the front and backs[i] printed on the back. Initially, each card is placed on a table such that the front number is facing up and the other is facing down. You may flip over any number of cards (possibly zero). After flipping the cards, an integer is considered good if it is facing down on some card and not facing up on any card. Return the minimum possible good integer after flipping the cards. If there are no good integers, return 0.
MediumProblem #822
LeetCodeCard Flipping Game
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How PhantomCodeAI Helps
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Examples
# Example 1
Input
fronts = [1,2,4,4,7], backs = [1,3,4,1,3]
Output
2
# Example 2
Input
fronts = [1], backs = [1]
Output
0
Constraints
n == fronts.length == backs.length
1 <= n <= 1000
1 <= fronts[i], backs[i] <= 2000
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Solve Card Flipping Game — You are given two 0-indexed integer arrays fronts and backs of length n, where t...
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 Card Flipping Game and using PhantomCodeAI during coding interviews.
How does PhantomCodeAI help with LeetCode problems during a coding interview?
PhantomCodeAI reads the problem from a screenshot or listens to it via audio, then generates a complete solution with a step-by-step approach and time/space complexity, so you can focus on explaining your reasoning rather than getting stuck on implementation.
Which programming languages does PhantomCodeAI support?
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Does PhantomCodeAI work with HackerRank, CodeSignal, and CoderPad?
Yes — it works alongside LeetCode, HackerRank, CodeSignal, CoderPad, and HackerEarth, plus any browser-based coding environment.
Can PhantomCodeAI handle follow-up questions and modifications?
Yes. Capture the modified problem by screenshot or audio and get an updated solution within seconds, including new edge cases and optimizations.
Is PhantomCodeAI detectable during live interviews?
PhantomCodeAI runs as a native desktop overlay that does not appear in screen shares, recordings, or proctoring software, and works with Zoom, Google Meet, Microsoft Teams, and major coding platforms.
Should I still practice these problems on my own first?
Yes. The most durable preparation is solving problems unaided first, then using AI afterward to review your approach, complexity, and missed edge cases — use it to debrief and learn, not to skip the reps.
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