Metadata-Version: 2.4
Name: logarithma
Version: 0.1.0
Summary: High-performance graph algorithms library featuring advanced shortest path algorithms
Author-email: Can AKYILDIRIM <akyildirimcan@gmail.com>
License: MIT License
        
        Copyright (c) 2025 Can Akyıldırım
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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Project-URL: Homepage, https://github.com/softdevcan/logarithma
Project-URL: Repository, https://github.com/softdevcan/logarithma
Project-URL: Bug Tracker, https://github.com/softdevcan/logarithma/issues
Keywords: graph,algorithms,shortest-path,optimization
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.20.0
Requires-Dist: networkx>=2.6
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: black>=22.0; extra == "dev"
Requires-Dist: isort>=5.0; extra == "dev"
Requires-Dist: flake8>=5.0; extra == "dev"
Provides-Extra: viz
Requires-Dist: matplotlib>=3.5; extra == "viz"
Requires-Dist: plotly>=5.0; extra == "viz"
Dynamic: license-file

# 📐 Logarithma

> *Next-generation algorithms for computational optimization*

[![PyPI version](https://badge.fury.io/py/logarithma.svg)](https://badge.fury.io/py/logarithma)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

**Logarithma** is a high-performance Python library that breaks traditional algorithmic barriers. Our flagship implementation features the groundbreaking **O(m log^{2/3} n)** shortest path algorithm, surpassing the classical Dijkstra's O(m + n log n) bound for the first time.

## ✨ Features

- 🚀 **Revolutionary SSSP**: First deterministic algorithm to break the sorting barrier
- 📊 **Multiple Domains**: Finance, logistics, social networks, telecommunications
- ⚡ **High Performance**: Optimized implementations with rigorous complexity analysis  
- 🔬 **Research Ready**: Built for both academic research and production systems
- 🐍 **Pythonic**: Clean, intuitive API designed for modern Python

## 🎯 Quick Start

```python
import logarithma

# Revolutionary shortest path algorithm
distances = logarithma.paths.shortest_path(graph, source)

# Coming soon: Extended algorithmic toolkit
logarithma.optimization.solve()
logarithma.analysis.complexity()
