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Solve Text Justification All Ways using Ruby Language

Solve Text Justification All Ways using Ruby to enhance your skills with ruby coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Text Justification All Ways

Difficulty : Medium

Categories :

  • Backtracking

Given a string s and an integer k, break the string into lines such that:

  • Each line contains at least one word
  • No word is split across lines
  • Each line has exactly k characters or less (including spaces)
  • Words are separated by one space
  • Each line should be left and right justified, with extra spaces distributed evenly between words

Return all possible valid line arrangements.

Constraints:

  • 1 ≤ s.length ≤ 100
  • k ≥ longest word length
  • s consists of lowercase English letters and spaces
  • Words are separated by a single space
  • Return results in lexicographical order

Examples:

Input: s = "this is a test", k = 6
Output: [
"this  ",
"is  a ",
"test  "
]
Explanation: One valid way to break into lines of max length 6
Input: s = "hi world", k = 8
Output: [
"hi world"
]
Explanation: Fits on one line as length is 8

Problem Solving

Input

What You'll Find Here

Real-World Scenarios Solve problems inspired by common Ruby use cases.

Step-by-Step Guidance Understand the core concepts of Ruby through clear explanations.

Practical Skills Prepare for real-world challenges with hands-on coding exercises.

Choose from the following categories

Strings A sequence of characters used to represent text, with problems focused on manipulation, searching, and pattern matching.

Arrays A collection of elements stored in contiguous memory locations, allowing efficient random access and manipulation.

Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

Trees A hierarchical data structure with nodes connected by edges, used in applications like databases, file systems, and parsing.

Graphs A collection of nodes (vertices) connected by edges, representing relationships, widely used in networking, routing, and social networks.

Dynamic Programming An optimization technique that solves problems by breaking them into overlapping subproblems and storing their results.

Backtracking A problem-solving method that explores all possibilities recursively, backtracking when a solution is not feasible.

Sorting Algorithms Techniques for arranging elements in a specific order, such as quicksort, mergesort, and bubble sort, essential for data organization.

Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

Mathematics A field of study involving numbers, calculations, and logical reasoning, forming the foundation for algorithms and problem-solving.

Recursion A programming technique where a function calls itself to solve smaller instances of the same problem, often used in divide-and-conquer approaches.

Bit Manipulation Operations performed directly on binary representations of data, used for efficient computations and optimization tasks.