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How to Solve As Far from Land as Possible Problem
Master the As Far from Land as Possible LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Medium#1162
LeetCode ProblemAs Far from Land as Possible
Given an n x n grid containing only values 0 and 1, where 0 represents water and 1 represents land, find a water cell such that its distance to the nearest land cell is maximized, and return the distance. If no land or water exists in the grid, return -1. The distance used in this problem is the Manhattan distance: the distance between two cells (x0, y0) and (x1, y1) is |x0 - x1| + |y0 - y1|.
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Problem Breakdown
Understanding the As Far from Land as Possible Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
Given an n x n grid containing only values 0 and 1, where 0 represents water and 1 represents land, find a water cell such that its distance to the nearest land cell is maximized, and return the distance. If no land or water exists in the grid, return -1. The distance used in this problem is the Manhattan distance: the distance between two cells (x0, y0) and (x1, y1) is |x0 - x1| + |y0 - y1|.
MediumProblem #1162
LeetCodeAs Far from Land as Possible
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Get real-time assistance for As Far from Land as Possible problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.
Examples
# Example 1
Input
grid = [[1,0,1],[0,0,0],[1,0,1]]
Output
2
# Example 2
Input
grid = [[1,0,0],[0,0,0],[0,0,0]]
Output
4
Constraints
n == grid.length
n == grid[i].length
1 <= n <= 100
grid[i][j] is 0 or 1
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Solve As Far from Land as Possible — Given an n x n grid containing only values 0 and 1, where 0 represents water and...
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def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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HackerRank
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CodeSignal
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Undetectability and technical details
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Frequently Asked Questions
Common questions about solving As Far from Land as Possible and using PhantomCodeAI during coding interviews.
How does PhantomCodeAI help with LeetCode problems during a coding interview?
PhantomCodeAI reads the problem from a screenshot or listens to it via audio, then generates a complete solution with a step-by-step approach and time/space complexity, so you can focus on explaining your reasoning rather than getting stuck on implementation.
Which programming languages does PhantomCodeAI support?
11 languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set a preferred language to get idiomatic solutions.
Does PhantomCodeAI work with HackerRank, CodeSignal, and CoderPad?
Yes — it works alongside LeetCode, HackerRank, CodeSignal, CoderPad, and HackerEarth, plus any browser-based coding environment.
Can PhantomCodeAI handle follow-up questions and modifications?
Yes. Capture the modified problem by screenshot or audio and get an updated solution within seconds, including new edge cases and optimizations.
Is PhantomCodeAI detectable during live interviews?
PhantomCodeAI runs as a native desktop overlay that does not appear in screen shares, recordings, or proctoring software, and works with Zoom, Google Meet, Microsoft Teams, and major coding platforms.
Should I still practice these problems on my own first?
Yes. The most durable preparation is solving problems unaided first, then using AI afterward to review your approach, complexity, and missed edge cases — use it to debrief and learn, not to skip the reps.
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