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        "author": "Sean Tully",
        "author_email": "sean.tully@ucdconnect.ie",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.7",
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        "description": "untilperfect\n====================================\n\n|license| |pyver| |codestyle| |docs|\n\nThe unt\\ **ilp**\\ erfect application solves the buffer preparation\nvessel sizing and assignment problem using mixed **i**\\ nteger\n**l**\\ inear **p**\\ rogramming.\n\nThe source repo is at https://github.com/multipitch/untilperfect.\n\nBuilds are hosted at https://pypi.org/project/untilperfect/.\n\nDocumentation is hosted at https://untilperfect.readthedocs.io/.\n\nThis project was forked from https://github.com/multipitch/dissertation.\nThe dissertation repo was created for my masters dissertation on the\nsubject towards an MSc in Business Analytics from University College\nDublin; further development has been forked here so that the\ndissertation repo remains frozen.\n\nInstall via pip:\n::\n\n    $ pip install untilperfect\n\nProvides the `untilperfect` CLI command\n::\n\n    $ untilperfect --help\n    usage: model.py [-h] [-b BUFFERS] [-n] [-p PARAMETERS] [-f PATH] [-s SOLVER]\n                    [-t PROBLEM_TYPE] [-v VESSELS] [-w]\n\n    Solves the buffer preparation assignment and selection problem.\n\n    optional arguments:\n    -h, --help            show this help message and exit\n    -b BUFFERS, --buffers BUFFERS\n                          buffers filename (default: 'buffers.csv')\n    -n, --no-plot         do not generate plot\n    -p PARAMETERS, --parameters PARAMETERS\n                          parameters filename (default: 'parameters.ini')\n    -f PATH, --path PATH  file path (default: <current working directory>)\n    -s SOLVER, --solver SOLVER\n                          solver to be used (default: 'COIN_CMD')\n    -t PROBLEM_TYPE, --problem-type PROBLEM_TYPE\n                          specify model to solve (default: 'complete'), other\n                          model options are 'basic', 'minimized_hold_time',\n                          'mimimized_used_volume'\n    -v VESSELS, --vessels VESSELS\n                          vessel filename (default: vessels.csv)\n    -w, --write           write problem to file in .lp format\n\nDistributed under the MIT License.\n\n\u00a9 Sean Tully 2018-2019.\n\n.. |license| image:: https://img.shields.io/badge/License-MIT-yellow.svg\n    :alt: License\n    :scale: 100%\n    :target: https://opensource.org/licenses/MIT\n\n.. |pyver| image:: https://img.shields.io/badge/python-3.7-blue.svg\n    :alt: Python Version\n    :scale: 100%\n    :target: https://www.python.org/downloads/release/python-370/\n\n.. |codestyle| image:: https://img.shields.io/badge/code%20style-black-000000.svg\n    :alt: Code Style\n    :scale: 100%\n    :target: https://github.com/ambv/black\n\n.. |docs| image:: https://readthedocs.org/projects/untilperfect/badge/?version=latest\n    :alt: Documentation Status\n    :scale: 100%\n    :target: https://untilperfect.readthedocs.io/en/latest/?badge=latest\n\n\n",
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        "summary": "Solves the buffer preparation vessel sizing and assignment problem using mixed integer linear programming.",
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