How to Solve Longest Common Subpath Leetcode Problem - Interview Coder Guide
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How to Solve Longest Common Subpath Problem

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

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Hard#2051
LeetCode Problem

Longest Common Subpath

There is a country of n cities numbered from 0 to n - 1. In this country, there is a road connecting every pair of cities. There are m friends numbered from 0 to m - 1 who are traveling through the co...

ArrayBinary SearchRolling Hash+2 more

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Problem Breakdown

Understanding the Longest Common Subpath Problem

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

Problem Statement

There is a country of n cities numbered from 0 to n - 1. In this country, there is a road connecting every pair of cities. There are m friends numbered from 0 to m - 1 who are traveling through the country. Each one of them will take a path consisting of some cities. Each path is represented by an integer array that contains the visited cities in order. The path may contain a city more than once, but the same city will not be listed consecutively. Given an integer n and a 2D integer array paths where paths[i] is an integer array representing the path of the ith friend, return the length of the longest common subpath that is shared by every friend's path, or 0 if there is no common subpath at all. A subpath of a path is a contiguous sequence of cities within that path.

HardProblem #2051
LeetCode

Longest Common Subpath

Related Topics
ArrayBinary SearchRolling HashSuffix ArrayHash Function
How Interview Coder Helps

Get real-time assistance for Longest Common Subpath problems during coding interviews. Interview Coder provides instant solutions and explanations.

Examples

Example 1
INPUT
n = 5, paths = [[0,1,2,3,4],
OUTPUT
2
EXPLANATION

The longest common subpath is [2,3].

Example 2
INPUT
n = 3, paths = [[0],[1],[2]]
OUTPUT
0
EXPLANATION

There is no common subpath shared by the three paths.

Example 3
INPUT
n = 5, paths = [[0,1,2,3,4],
OUTPUT
1
EXPLANATION

The possible longest common subpaths are [0], [1], [2], [3], and [4]. All have a length of 1.

Constraints

1 <= n <= 105
m == paths.length
2 <= m <= 105
sum(paths[i].length) <= 105
0 <= paths[i][j] < n
The same city is not listed multiple times consecutively in paths[i].

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