Metadata-Version: 2.1
Name: dadra
Version: 0.1.0
Summary: Library for Data-Driven Reachability Analysis
Home-page: https://github.com/JaredMejia/dadra
Author: Jared Mejia
Author-email: jaredmejia@berkeley.edu
License: MIT
Description: <img src="imgs/big_dadra_logo.png" width="400">
        
        # Python Library for Data-Driven Reachability Analysis
        [![Documentation Status](https://readthedocs.org/projects/dadra/badge/?version=latest)](https://dadra.readthedocs.io/en/latest/?badge=latest)
        [![PyPI Latest Release](https://img.shields.io/pypi/v/dadra.svg)](https://pypi.org/project/dadra/)
        [![Conda Latest Release](https://anaconda.org/jaredmejia/dadra/badges/version.svg)](https://anaconda.org/jaredmejia/dadra)
        [![License](https://img.shields.io/pypi/l/dadra.svg)](https://github.com/dadra/blob/master/LICENSE)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        
        <p float="left">
          <img src="imgs/l_3D_cont.gif" width="300" height="300">
          <img src="imgs/quad_reachable.png" width="300" height="300">
        </p>
        
        ## What is it?
        **DaDRA** (day-druh) is a Python library for Data-Driven Reachability Analysis. The main goal of the package is to accelerate the process of computing estimates of forward reachable sets for nonlinear dynamical systems.
        
        ## Installation
        To install the current release of DaDRA:
        ```
        $ pip install --upgrade dadra
        ```
        or
        ```
        $ conda install -c jaredmejia dadra
        ```
        
        ## Resources
        * [PyPi](https://pypi.org/project/dadra/)
        * [Anaconda](https://anaconda.org/jaredmejia/dadra)
        * [Documentation](https://dadra.readthedocs.io/en/latest/)
        * [Issue tracking](https://github.com/JaredMejia/dadra/issues)
        
        ## Usage
        See these examples from the [documentation](https://dadra.readthedocs.io/en/latest/):
        * [Lorenz System with disturbance using Scenario Approach](https://dadra.readthedocs.io/en/latest/examples.html#lorenz-system-with-disturbance-using-scenario-approach)
        * [Duffing Oscillator using Christoffel Functions](https://dadra.readthedocs.io/en/latest/examples.html#duffing-oscillator-using-christoffel-functions)
        * [12-state Quadrotor using Scenario Approach](https://dadra.readthedocs.io/en/latest/examples.html#state-quadrotor-using-scenario-approach)
        
        ## Contributing
        For contributions, please follow the workflow:
          1. **Fork** the repo on GitHub
          2. **Clone** the project to your own machine
          3. **Commit** changes to your own branch
          4. **Push** your work back up to your fork
          5. Submit a **Pull request** so that your changes can be reviewed
        
        Be sure to fetch and merge from upstream before making a pull request.
        
        ## Acknowledgement
        Special thanks to [@alexdevonport](https://github.com/alexdevonport) for contributions.
        
        ## License
        [MIT License](https://github.com/JaredMejia/dadra/blob/main/LICENSE)
        
        ## BibTeX
        ```bibtex
        @article{JaredMejia,
          title={DaDRA},
          author={Mejia, Jared},
          journal={GitHub. Note: https://github.com/JaredMejia/dadra},
          volume={1},
          year={2021}
        }
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
