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HomeLeetCode ProblemsLongest Common Suffix Queries
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How to Solve Longest Common Suffix Queries Problem

Master the Longest Common Suffix Queries LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#3093
LeetCode Problem

Longest Common Suffix Queries

You are given two arrays of strings wordsContainer and wordsQuery. For each wordsQuery[i], you need to find a string from wordsContainer that has the longest common suffix with wordsQuery[i]. If there are two or more strings in wordsContainer that share the longest common suffix, find the string that is the smallest in length. If there are two or more such strings that have the same smallest length, find the one that occurred earlier in wordsContainer. Return an array of integers ans, where ans[i] is the index of the string in wordsContainer that has the longest common suffix with wordsQuery[i].

ArrayStringTrie

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Problem Breakdown

Understanding the Longest Common Suffix Queries Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

You are given two arrays of strings wordsContainer and wordsQuery. For each wordsQuery[i], you need to find a string from wordsContainer that has the longest common suffix with wordsQuery[i]. If there are two or more strings in wordsContainer that share the longest common suffix, find the string that is the smallest in length. If there are two or more such strings that have the same smallest length, find the one that occurred earlier in wordsContainer. Return an array of integers ans, where ans[i] is the index of the string in wordsContainer that has the longest common suffix with wordsQuery[i].

HardProblem #3093
LeetCode

Longest Common Suffix Queries

Related Topics

ArrayStringTrie

How Phantom Code Helps

Get real-time assistance for Longest Common Suffix Queries problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input
wordsContainer = ["abcd","bcd","xbcd"], wordsQuery = ["cd","bcd","xyz"]
Output
[1,1,1]

# Example 2

Input
wordsContainer = ["abcdefgh","poiuygh","ghghgh"], wordsQuery = ["gh","acbfgh","acbfegh"]
Output
[2,0,2]

Constraints

1 <= wordsContainer.length, wordsQuery.length <= 104
1 <= wordsContainer[i].length <= 5 * 103
1 <= wordsQuery[i].length <= 5 * 103
wordsContainer[i] consists only of lowercase English letters.
wordsQuery[i] consists only of lowercase English letters.
Sum of wordsContainer[i].length is at most 5 * 105.
Sum of wordsQuery[i].length is at most 5 * 105.

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Solve Longest Common Suffix Queries — You are given two arrays of strings wordsContainer and wordsQuery. For each word...

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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Undetectability and technical details

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Frequently Asked Questions

Common questions about solving Longest Common Suffix Queries and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Longest Common Suffix Queries 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 Longest Common Suffix Queries?
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 Longest Common Suffix Queries?
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 Longest Common Suffix Queries 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 Longest Common Suffix Queries 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 Longest Common Suffix Queries 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 Longest Common Suffix Queries 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 Longest Common Suffix Queries 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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