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        "author": "Artur de Luca",
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        "description": "## PSOpt\n\n[![Build Status](https://travis-ci.com/artur-deluca/psopt.svg?branch=master)](https://travis-ci.com/artur-deluca/psopt)\n[![Documentation Status](https://readthedocs.org/projects/psopt/badge/?version=latest)](https://psopt.readthedocs.io/en/latest/?badge=latest)\n[![codecov](https://codecov.io/gh/artur-deluca/psopt/branch/master/graph/badge.svg)](https://codecov.io/gh/artur-deluca/psopt)\n[![Maintainability](https://api.codeclimate.com/v1/badges/e969d457f95dca89cb31/maintainability)](https://codeclimate.com/github/artur-deluca/psopt/maintainability)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/71b0d894f71f4c7c9f14409d14b11856)](https://www.codacy.com/app/artur-deluca/psopt?utm_source=github.com&utm_medium=referral&utm_content=artur-deluca/psopt&utm_campaign=Badge_Grade)\n\nA particle swarm optimizer for combinatorial optimization\n\n## Project Information\n\n`psopt` is released under the [MIT](https://choosealicense.com/licenses/mit/),\nits documentation lives at [Read the Docs](https://psopt.readthedocs.io/en/latest/),\nthe code on [GitHub](https://github.com/artur-deluca/psopt),\nand the latest release on [PyPI](https://pypi.org/project/psopt/).\n\nIf you'd like to contribute to `psopt` you're most welcome. We've created a [little guide](CONTRIBUTING.md) to get you started!\n\n## Installation\n\n### Python version support\n\nOfficially Python 3.6 and above\n\n### Installing from PyPI\n\nPSOpt can be installed via pip from [PyPI](https://pypi.org/project/psopt)\n\n```console\npip install psopt\n```\n\n### Installing from source\n\nClone the repository via:\n\n```console\ngit clone https://github.com/artur-deluca/psopt/ --depth=1\n```\n\nActivate your virtual environment and run:\n\n```console\npython setup.py install\n# or alternatively\npip install -e .\n```\n\nIf you wish to install the development dependencies, run:\n\n```console\npython setup.py build\n# or alternatively\npip install -e.[all]\n```\n\n### Running the test suite\n\nTo run the tests written for psopt, make sure you have `pytest` installed in your venv. \nAdditionally, if you wish to run coverage analysis as well, make sure to have `pytest-cov` installed as well.\n\n```console\n# to simply execute the tests run:\npytest\n# to run coverage as well run:\npytest --cov=psopt\n# or alternatively:\nmake test\n```\n\n\n\n",
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