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        "description": "## Pringles - A DEVS model composition Python\n[![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)\n\nPringles 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.\n\n\n#### Requirements\n- Python 3.7 (check out pyenv if you have a different python version installed)\n\nThe library can be installed with pip:\n```\npip install pringles-devs\n```\n\n#### Extra Requirements\nFor local development, you can install everything through:\n```\nmake install\n```\nin the repo root directory.\n\nAfter changes are made you can locally check the same things the CI does by executing:\n```\nmake local\n```\n\n\n#### Pringles Examples\nThey can be found in https://github.com/colonelpringles/pringles_examples\n\n\n",
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