Metadata-Version: 2.1
Name: hyperjet
Version: 1.0.1
Summary: Automatic differentiation with dual numbers
Home-page: https://github.com/oberbichler/HyperJet
Author: Thomas Oberbichler
Author-email: thomas.oberbichler@gmail.com
License: UNKNOWN
Description: # HyperJet
        Automatic differentiation with dual numbers
        
        [![Build Status](https://github.com/oberbichler/HyperJet/workflows/Python%20package/badge.svg?branch=master)](https://github.com/oberbichler/HyperJet/actions) [![PyPI](https://img.shields.io/pypi/v/hyperjet)](https://pypi.org/project/hyperjet)
        
        ## Installation
        
        ```
        pip install hyperjet
        ```
        
        ## Reference
        
        If you use HyperJet, please refer to the official GitHub repository:
        
        ```
        @misc{HyperJet,
          author = "Thomas Oberbichler",
          title = "HyperJet",
          howpublished = "\url{http://github.com/oberbichler/HyperJet}",
        }
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
