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How to Solve Text Justification Problem

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

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Hard#68

LeetCode Problem

Text Justification

Given an array of strings words and a width maxWidth, format the text such that each line has exactly maxWidth characters and is fully (left and right) justified. You should pack your words in a greedy approach; that is, pack as many words as you can in each line. Pad extra spaces ' ' when necessary so that each line has exactly maxWidth characters. Extra spaces between words should be distributed as evenly as possible. If the number of spaces on a line does not divide evenly between words, the empty slots on the left will be assigned more spaces than the slots on the right. For the last line of text, it should be left-justified, and no extra space is inserted between words.

ArrayStringSimulation

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Problem Breakdown

Understanding the Text Justification Problem

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

Problem Statement

HardProblem #68

LeetCode

Text Justification

How Phantom Code Helps

Get real-time assistance for Text Justification problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input

words = ["This", "is", "an", "example", "of", "text", "justification."], maxWidth = 16

Output

[ "This    is    an", "example  of text", "justification.  " ]

# Example 2

Input

words = ["What","must","be","acknowledgment","shall","be"], maxWidth = 16

Output

[ "What   must   be", "acknowledgment  ", "shall be        " ]

# Example 3

Input

words = ["Science","is","what","we","understand","well","enough","to","explain","to","a","computer.","Art","is","everything","else","we","do"], maxWidth = 20

Output

[ "Science  is  what we", "understand      well", "enough to explain to", "a  computer.  Art is", "everything  else  we", "do                  " ]

Constraints

1 <= words.length <= 300

1 <= words[i].length <= 20

words[i] consists of only English letters and symbols.

1 <= maxWidth <= 100

words[i].length <= maxWidth

How Phantom Code Helps with LeetCode Problems

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Solve Text Justification — Given an array of strings words and a width maxWidth, format the text such that ...

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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Undetectability Checklist

Run compatibility test before interviews

Use recommended Zoom version settings

Enable advanced screen capture options

Verify native desktop architecture

Test with screen recording software

Platform Compatibility

Zoom

Supported

Google Meet

Supported

HackerRank

Supported

CodeSignal

Supported

CoderPad

Supported

Teams

Supported

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Undetectability and technical details

Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible.

Platform compatibility and limitations

We work with Zoom, HackerRank, CodeSignal, CoderPad and other web-based platforms. Check the compatibility note and request a browser link if a specific desktop app is unsupported.

Frequently Asked Questions

Common questions about solving Text Justification and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Text Justification 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 Text Justification?

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 Text Justification?

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 Text Justification 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 Text Justification 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 Text Justification 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 Text Justification 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 Text Justification 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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