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Solve Word Character Coverage Ranges using Go Lang Language

Solve Word Character Coverage Ranges using Go Lang to enhance your skills with go lang coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Word Character Coverage Ranges

Difficulty : Hard

Categories :

  • Strings

Given a string s and a list of strings words, find all word ranges in s such that all unique characters in s between the range appear in at least one of the words in the words list. Return a list of tuples [start, end] representing the ranges (0-indexed). If no such range exists, return an empty list.

Constraints:

  • 1 ≤ s.length ≤ 10⁴
  • 1 ≤ words.length ≤ 50
  • 1 ≤ words[i].length ≤ 50
  • All strings consist of lowercase English letters only
  • All ranges should be minimal (cannot be reduced while maintaining the condition)

Examples:

Input: s = "abcde", words = ["ab","cd","e"]
Output: [[0,4]]
Explanation: The entire string forms a valid range as each character appears in at least one word.
Input: s = "abcdefgh", words = ["abc","def"]
Output: [[0,5]]
Explanation: Characters 'g' and 'h' don't appear in any word, so the longest valid range is "abcdef".
Input: s = "adobecodebanc", words = ["abc","ode"]
Output: [[0,3],[3,6]]
Explanation: "adob" and "code" form valid ranges.

Problem Solving

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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.