Metadata-Version: 2.1
Name: dadra
Version: 0.1.1
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="https://github.com/JaredMejia/dadra/blob/1b84928cc6672fb5beb2d98fb6572342cc6d713c/imgs/big_dadra_logo.png?raw=true" 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="https://github.com/JaredMejia/dadra/blob/1b84928cc6672fb5beb2d98fb6572342cc6d713c/imgs/l_3D_cont.gif?raw=true" width="300" height="300">
          <img src="https://github.com/JaredMejia/dadra/blob/1b84928cc6672fb5beb2d98fb6572342cc6d713c/imgs/quad_reachable.png?raw=true" 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. For more information about the library, see [this poster from the NSF funded SUPERB Program](https://github.com/JaredMejia/dadra/blob/34042b23cda31c6b0ba7c8acfe7f379ea4c6c434/imgs/SUPERB_DADRA_poster.png)
        
        ## 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
