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HomeLeetCode ProblemsNumber of Possible Sets of Closing Branches
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How to Solve Number of Possible Sets of Closing Branches Problem

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Hard#2959
LeetCode Problem

Number of Possible Sets of Closing Branches

There is a company with n branches across the country, some of which are connected by roads. Initially, all branches are reachable from each other by traveling some roads. The company has realized that they are spending an excessive amount of time traveling between their branches. As a result, they have decided to close down some of these branches (possibly none). However, they want to ensure that the remaining branches have a distance of at most maxDistance from each other. The distance between two branches is the minimum total traveled length needed to reach one branch from another. You are given integers n, maxDistance, and a 0-indexed 2D array roads, where roads[i] = [ui, vi, wi] represents the undirected road between branches ui and vi with length wi. Return the number of possible sets of closing branches, so that any branch has a distance of at most maxDistance from any other. Note that, after closing a branch, the company will no longer have access to any roads connected to it. Note that, multiple roads are allowed.

Bit ManipulationGraphHeap (Priority Queue)EnumerationShortest Path

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Problem Breakdown

Understanding the Number of Possible Sets of Closing Branches Problem

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

Problem Statement

There is a company with n branches across the country, some of which are connected by roads. Initially, all branches are reachable from each other by traveling some roads. The company has realized that they are spending an excessive amount of time traveling between their branches. As a result, they have decided to close down some of these branches (possibly none). However, they want to ensure that the remaining branches have a distance of at most maxDistance from each other. The distance between two branches is the minimum total traveled length needed to reach one branch from another. You are given integers n, maxDistance, and a 0-indexed 2D array roads, where roads[i] = [ui, vi, wi] represents the undirected road between branches ui and vi with length wi. Return the number of possible sets of closing branches, so that any branch has a distance of at most maxDistance from any other. Note that, after closing a branch, the company will no longer have access to any roads connected to it. Note that, multiple roads are allowed.

HardProblem #2959
LeetCode

Number of Possible Sets of Closing Branches

Related Topics

Bit ManipulationGraphHeap (Priority Queue)EnumerationShortest Path

How Phantom Code Helps

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Examples

# Example 1

Input
n = 3, maxDistance = 5, roads = [[0,1,2],[1,2,10],[0,2,10]]
Output
5

# Example 2

Input
n = 3, maxDistance = 5, roads = [[0,1,20],[0,1,10],[1,2,2],[0,2,2]]
Output
7

# Example 3

Input
n = 1, maxDistance = 10, roads = []
Output
2

Constraints

1 <= n <= 10
1 <= maxDistance <= 105
0 <= roads.length <= 1000
roads[i].length == 3
0 <= ui, vi <= n - 1
ui != vi
1 <= wi <= 1000
All branches are reachable from each other by traveling some roads.

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Solve Number of Possible Sets of Closing Branches — There is a company with n branches across the country, some of which are connect...

Here's the optimal approach using Bit Manipulation:

def solve(input):
# Optimal O(n) solution
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Time: O(n)  |  Space: O(n)

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Frequently Asked Questions

Common questions about solving Number of Possible Sets of Closing Branches and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Number of Possible Sets of Closing Branches 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 Number of Possible Sets of Closing Branches?
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 Number of Possible Sets of Closing Branches?
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 Number of Possible Sets of Closing Branches 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 Number of Possible Sets of Closing Branches 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 Number of Possible Sets of Closing Branches 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 Number of Possible Sets of Closing Branches 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 Number of Possible Sets of Closing Branches 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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