mirror of
https://github.com/TheAlgorithms/Python.git
synced 2025-02-07 10:00:55 +00:00
6132d40a37
This code file provides an implementation of Suffix Arrays and Longest Common Prefix (LCP) Arrays in Python, designed as a contribution to the open-source community during Hacktoberfest 2024. Overview: A suffix array is an essential data structure used in many string-processing algorithms. It provides an efficient way to store and sort all possible suffixes of a given string. This project also includes the construction of the LCP array, which records the lengths of the longest common prefixes between consecutive suffixes in the sorted suffix array. Together, these two arrays form the backbone of many algorithms in text processing and pattern matching. Key Features: Suffix Array Construction: A suffix array is built by sorting all suffixes of the input string in lexicographical order and storing their starting indices. LCP Array Construction: The LCP array is computed using an efficient algorithm that compares consecutive suffixes from the suffix array and records the length of their common prefixes. Optimized Approach: The approach used in this implementation ensures efficient computation of both suffix and LCP arrays with a linear-time construction of the LCP array following the suffix sorting. User-friendly Display: The program clearly displays both the suffix and LCP arrays, allowing users to easily visualize and understand the results for any given input string. Why this Contribution? As part of Hacktoberfest 2024, I wanted to contribute something that could be useful for developers and researchers working with text-processing algorithms. This implementation not only helps in better understanding of basic string operations but also serves as a building block for more complex algorithms in fields like bioinformatics, data compression, and natural language processing. Example Output: For the input string "banana", the program generates the following arrays: Suffix Array: [5, 3, 1, 0, 4, 2] (indicating the starting indices of the lexicographically sorted suffixes) LCP Array: [0, 1, 3, 0, 0, 2] (showing the lengths of the longest common prefixes between consecutive suffixes) Why Suffix Arrays and LCP Arrays Matter: Text Searching: Suffix arrays are used in algorithms for fast substring searching, making them invaluable in tasks like searching through large databases or text files. Repetitive Patterns: The LCP array highlights repeated patterns within the text, which can be useful in applications like data compression, where redundancy needs to be minimized. Bioinformatics: These arrays are critical for genome sequencing and alignment algorithms, where comparing large sequences efficiently is necessary. How to Use: This implementation is easy to run with any input string, and users can quickly get a clear visualization of the suffix and LCP arrays. Whether you're new to algorithms or looking to expand your toolkit for more advanced string manipulation tasks, this project provides a solid foundation. |
||
|---|---|---|
| .. | ||
| __init__.py | ||
| closest_pair_of_points.py | ||
| convex_hull.py | ||
| heaps_algorithm_iterative.py | ||
| heaps_algorithm.py | ||
| inversions.py | ||
| kth_order_statistic.py | ||
| max_difference_pair.py | ||
| max_subarray.py | ||
| mergesort.py | ||
| peak.py | ||
| power.py | ||
| strassen_matrix_multiplication.py | ||
| Suffix Array and LCP implementation.py | ||