Metadata-Version: 2.1
Name: pringles-devs
Version: 1.0.2
Summary: A DEVS model composition library
Home-page: https://github.com/colonelpringles/pringles
Author: Colonel Pringles
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: pandas (==0.24.2)
Requires-Dist: ipython (==7.6.1)
Requires-Dist: matplotlib (==3.1.1)
Requires-Dist: asyncio (==3.4.3)
Requires-Dist: tornado (==6.0.3)

## Pringles - A DEVS model composition Python
[![Build Status](https://travis-ci.org/colonelpringles/pringles.svg?branch=master)](https://travis-ci.org/colonelpringles/pringles) [![Coverage](https://codecov.io/gh/colonelpringles/pringles/branch/master/graphs/badge.svg)](https://codecov.io/gh/colonelpringles/pringles/branch/master) [![pypi-version](https://img.shields.io/pypi/v/pringles-devs.svg)](https://pypi.org/project/pringles-devs/) [![Total alerts](https://img.shields.io/lgtm/alerts/g/colonelpringles/pringles.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/colonelpringles/pringles/alerts/) [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/colonelpringles/pringles.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/colonelpringles/pringles/context:python)

Pringles is a DEVS model composition library, which makes easy to assemble and link multiple atomic/coupled models. It works as a Python library, and in its road ahead, will easily integrate with the Jupyter environment.


#### Requirements
- Python 3.7 (check out pyenv if you have a different python version installed)

The library can be installed with pip:
```
pip install pringles-devs
```

#### Extra Requirements
For local development, you can install everything through:
```
make install
```
in the repo root directory.

After changes are made you can locally check the same things the CI does by executing:
```
make local
```


#### Pringles Examples
They can be found in https://github.com/colonelpringles/pringles_examples


