Sorting Entropy Program with Enhanced Algorithm Implementation

This program is designed for sorting entropy calculations, serving to achieve information entropy objectives through an improved methodology compared to traditional approaches. The implementation includes efficient sorting algorithms that process data sequences while computing entropy metrics, making it particularly suitable for ordering operations. Key features include automated input file encoding detection using charset recognition libraries, with appropriate text processing routines to handle diverse data formats. The core algorithm calculates entropy values during sorting operations, optimizing information measurement through probability distribution analysis of sorted elements. Advanced functionality encompasses batch processing capabilities for large-scale sorting tasks, memory-efficient data structures for handling substantial datasets, and configurable parameters for entropy calculation precision. The program employs optimized comparison functions and efficient memory management to process extensive sorting operations seamlessly. This solution is ideal for users requiring frequent large-scale sorting operations with integrated entropy analysis, providing both computational efficiency and analytical depth through its enhanced algorithmic framework.