{ "info": { "author": "Ciar\u00e1n Ryan-Anderson", "author_email": "ciaran@pecos.io", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "![PECOS](docs/images/pecos_large_logo.png)\n=======================================\n\n[![PyPI version](https://badge.fury.io/py/quantum-pecos.svg)](https://badge.fury.io/py/quantum-pecos)\n[![Documentation Status](https://readthedocs.org/projects/quantum-pecos/badge/?version=latest)](https://quantum-pecos.readthedocs.io/en/latest/?badge=latest)\n\nPECOS (Performance Estimator of Codes On Surfaces) is a Python framework for studying, developing, and evaluating \nquantum error-correction protocols.\n\n- Author: Ciar\u00c3\u00a1n Ryan-Anderson\n- Language: Python 3.5.2+ (with optional C and C++ extensions)\n\n## Contact\n\n For questions or suggestions, please feel free to contact the author:\n \n - Ciar\u00c3\u00a1n Ryan-Anderson, ciaran@pecos.io\n \n## Getting Started\n\nTo get started, check out the documentation in the \"docs\" folder or find it online at:\n\nhttps://quantum-pecos.readthedocs.io\n \n## Latest Development\n\nSee the following branch for the the last version of PECOS that is under active development:\n\nhttps://github.com/PECOS-packages/PECOS/tree/development\n\n(Note, this is a pre-release branch.)\n\n## Requirements\n- Python 3.5.2+\n- NumPy 1.15+\n- SciPy 1.1+\n- Matplotlib 2.2+\n- NetworkX 2.1+\n\n## Optional Dependencies\n\n- Cython (to compile optional C/C++ extensions)\n- pytest 3.0+ (to run tests)\n- Sphinx 2.7.6+ (to compile the documentation)\n\n## Installation\n\nTo install using pip run the command:\n```\npip install quantum-pecos\n```\n\nTo install from GitHub go to:\n\nhttps://github.com/PECOS-packages/PECOS\n\nThen, download/unzip or clone the version of PECOS you would like to use. 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