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How to Solve Maximum Good People Based on Statements Problem
Master the Maximum Good People Based on Statements LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemMaximum Good People Based on Statements
There are two types of persons: You are given a 0-indexed 2D integer array statements of size n x n that represents the statements made by n people about each other. More specifically, statements[i][j] could be one of the following: Additionally, no person ever makes a statement about themselves. Formally, we have that statements[i][i] = 2 for all 0 <= i < n. Return the maximum number of people who can be good based on the statements made by the n people.
ArrayBacktrackingBit ManipulationEnumeration
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Problem Breakdown
Understanding the Maximum Good People Based on Statements Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
There are two types of persons: You are given a 0-indexed 2D integer array statements of size n x n that represents the statements made by n people about each other. More specifically, statements[i][j] could be one of the following: Additionally, no person ever makes a statement about themselves. Formally, we have that statements[i][i] = 2 for all 0 <= i < n. Return the maximum number of people who can be good based on the statements made by the n people.
HardProblem #2151
LeetCodeMaximum Good People Based on Statements
Related Topics
ArrayBacktrackingBit ManipulationEnumeration
How Phantom Code Helps
Get real-time assistance for Maximum Good People Based on Statements problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
statements = [[2,1,2],[1,2,2],[2,0,2]]
Output
2
# Example 2
Input
statements = [[2,0],[0,2]]
Output
1
Constraints
n == statements.length == statements[i].length
2 <= n <= 15
statements[i][j] is either 0, 1, or 2.
statements[i][i] == 2
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Solve Maximum Good People Based on Statements — There are two types of persons: You are given a 0-indexed 2D integer array state...
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 Maximum Good People Based on Statements and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Maximum Good People Based on Statements 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 Maximum Good People Based on Statements?
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 Maximum Good People Based on Statements?
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 Maximum Good People Based on Statements 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 Maximum Good People Based on Statements 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 Maximum Good People Based on Statements 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 Maximum Good People Based on Statements 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 Maximum Good People Based on Statements 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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