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How to Solve Minimum Moves to Clean the Classroom Problem
Master the Minimum Moves to Clean the Classroom LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#3568
LeetCode ProblemMinimum Moves to Clean the Classroom
You are given an m x n grid classroom where a student volunteer is tasked with cleaning up litter scattered around the room. Each cell in the grid is one of the following: You are also given an integer energy, representing the student's maximum energy capacity. The student starts with this energy from the starting position 'S'. Each move to an adjacent cell (up, down, left, or right) costs 1 unit of energy. If the energy reaches 0, the student can only continue if they are on a reset area 'R', which resets the energy to its maximum capacity energy. Return the minimum number of moves required to collect all litter items, or -1 if it's impossible.
ArrayHash TableBit ManipulationBreadth-First SearchMatrix
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Problem Breakdown
Understanding the Minimum Moves to Clean the Classroom Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an m x n grid classroom where a student volunteer is tasked with cleaning up litter scattered around the room. Each cell in the grid is one of the following: You are also given an integer energy, representing the student's maximum energy capacity. The student starts with this energy from the starting position 'S'. Each move to an adjacent cell (up, down, left, or right) costs 1 unit of energy. If the energy reaches 0, the student can only continue if they are on a reset area 'R', which resets the energy to its maximum capacity energy. Return the minimum number of moves required to collect all litter items, or -1 if it's impossible.
MediumProblem #3568
LeetCodeMinimum Moves to Clean the Classroom
Related Topics
ArrayHash TableBit ManipulationBreadth-First SearchMatrix
How Phantom Code Helps
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Examples
# Example 1
Input
classroom = ["S.", "XL"], energy = 2
Output
2
# Example 2
Input
classroom = ["LS", "RL"], energy = 4
Output
3
# Example 3
Input
classroom = ["L.S", "RXL"], energy = 3
Output
-1
Constraints
1 <= m == classroom.length <= 20
1 <= n == classroom[i].length <= 20
classroom[i][j] is one of 'S', 'L', 'R', 'X', or '.'
1 <= energy <= 50
There is exactly one 'S' in the grid.
There are at most 10 'L' cells in the grid.
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Solve Minimum Moves to Clean the Classroom — You are given an m x n grid classroom where a student volunteer is tasked with c...
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 Minimum Moves to Clean the Classroom and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimum Moves to Clean the Classroom 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 Minimum Moves to Clean the Classroom?
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 Minimum Moves to Clean the Classroom?
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 Minimum Moves to Clean the Classroom 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 Minimum Moves to Clean the Classroom 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 Minimum Moves to Clean the Classroom 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 Minimum Moves to Clean the Classroom 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 Minimum Moves to Clean the Classroom 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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