Metadata-Version: 2.4
Name: psrn
Version: 0.1.1b2
Summary: Parallel Symbolic Regression Network (PSRN) / Parallel Symbolic Enumeration (PSE)
Author-email: Kai Ruan <kairuan@ruc.edu.cn>
License: MIT License
        
        Copyright (c) 2024 Kai Ruan (x66ccff)
        
        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
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/x66ccff/PSRN
Project-URL: Paper, https://www.nature.com/articles/s43588-025-00904-8
Keywords: symbolic regression,AI4Science,pytorch,scientific discovery
Classifier: Programming Language :: Python :: 3
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: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch>=2.0.0
Requires-Dist: deap==1.3.3
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: PyYAML
Requires-Dist: sympy
Requires-Dist: numba
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: click
Requires-Dist: symengine==0.11.0
Dynamic: license-file


![sdf](./assets/PSRN.jpg)

## 📥 Installation

**Prerequisite**: Python >=3.9, <=3.12

```bash
pip install git+https://github.com/x66ccff/PSRN
```

## 📚 Citation

If you use this work, please cite:

```bibtex
@article{ruan2025discovering,
  author     = {Ruan, Kai and Xu, Yilong and Gao, Ze-Feng and Guo, Yike and Sun, Hao and Wen, Ji-Rong and Liu, Yang},
  title      = {Discovering physical laws with parallel symbolic enumeration},
  journal    = {Nature Computational Science},
  year       = {2025},
  doi        = {10.1038/s43588-025-00904-8},
  url        = {https://www.nature.com/articles/s43588-025-00904-8}
}
```
