{ "info": { "author": "Paolo Dragone", "author_email": "dragone.paolo@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "PyMzn\n=====\n\n**PyMzn** is a Python library that wraps and enhances the\n[MiniZinc](http://minizinc.org) tools for constraint programming. PyMzn is built\non top of the [minizinc](https://github.com/MiniZinc/MiniZincIDE) toolkit and\nprovides a number of off-the-shelf functions to readily solve problems encoded\nwith the MiniZinc language and return solutions as Python dictionaries.\n\nUsage\n-----\nFirst, we need to define a constraint program via MiniZinc.\nHere is a simple 0-1 knapsack problem encoded with MiniZinc:\n\n``` minizinc\n %% knapsack01.mzn %%\n int: n; % number of objects\n set of int: OBJ = 1..n;\n int: capacity; % the capacity of the knapsack\n array[OBJ] of int: profit; % the profit of each object\n array[OBJ] of int: size; % the size of each object\n\n var set of OBJ: x;\n constraint sum(i in x)(size[i]) <= capacity;\n var int: obj = sum(i in x)(profit[i]);\n solve maximize obj;\n\n\n %% knapsack01.dzn %%\n n = 5;\n profit = [10, 3, 9, 4, 8];\n size = [14, 4, 10, 6, 9];\n```\n\nYou can solve the above problem using the `pymzn.minizinc` function:\n\n``` python3\n import pymzn\n solns = pymzn.minizinc('knapsack01.mzn', 'knapsack01.dzn', data={'capacity': 20})\n print(solns)\n```\n\nThe result will be:\n\n``` python3\n [{'x': {3, 5}}]\n```\n\nThe returned object is a lazy solution stream, which can either be iterated or\ndirectly indexed as a list. The `pymzn.minizinc` function takes care of all the\npreprocessing, the communication with the `minizinc` executable, and the parsing\nof the solutions stream into Python dictionaries.\n\nPyMzn is also able to:\n\n* Convert Python dictionaries to\n [dzn](http://paolodragone.com/pymzn/reference/dzn/) format and back (e.g. when\n passing data to the `pymzn.minizinc` function);\n* Interface with many different\n [solvers](http://paolodragone.com/pymzn/reference/solvers/);\n* [Preprocess](http://paolodragone.com/pymzn/reference/templates/) MiniZinc models\n by embedding code from the [Jinja2](http://jinja.pocoo.org/) templating\n language;\n* Perform [concurrent](http://paolodragone.com/pymzn/reference/aio) MiniZinc\n execution using Python coroutines.\n\nFor a follow-up of the previous example, read the\n[PyMzn tutorial](http://paolodragone.com/pymzn/tutorial.html).\n\nFor more information on the PyMzn classes and functions refer to the\n[reference manual](http://paolodragone.com/pymzn/reference/).\n\n\nInstall\n-------\n\nPyMzn can be installed via Pip:\n\n``` bash\n pip install pymzn\n```\n\nor from the source code available\non [GitHub](https://github.com/paolodragone/pymzn/releases/latest):\n\n``` bash\n python setup.py install\n```\n\n\nRequirements\n------------\nPyMzn is developed and maintained in Python 3.5. Starting from version 0.18.0,\nsupport for Python 2 and versions previous to 3.5 has been dropped (its just too\nmuch work mainintaining them). Using the package `pymzn.aio` for concurrent\nexecution requires Python 3.6 (though it is optional).\n\nPyMzn requires the MiniZinc toolkit to be installed on your machine. Starting\nfrom PyMzn 0.18.0, the minimum MiniZinc version required is the 2.2.0. If you\nneed to work with previous versions of MiniZinc, PyMzn 0.17.1 should work fine.\n\nThe easiest way to install MiniZinc is to download the\n[MiniZincIDE](https://github.com/MiniZinc/MiniZincIDE) package, which\ncontains both the MiniZinc binaries and several solvers. After downloading the\npackage, make sure the executables are visible to PyMzn either by setting the\n`PATH` environment variable or by configuring it using the `pymzn.config`\nmodule.\n\nFor more details take a look at the\n[Install section](http://paolodragone.com/pymzn/install.html) in the\ndocumentation.\n\nOptional dependencies include:\n* [Jinja2](http://jinja.pocoo.org/docs/intro/#installation), for preprocessing\n through Jinja templating language;\n* [PyYAML](https://pyyaml.org/wiki/PyYAML) and\n [appdirs](https://github.com/ActiveState/appdirs), for loading and saving\n configuration files.\n\nAuthor\n------\n\n[Paolo Dragone](http://paolodragone.com), PhD student at the University of\nTrento (Italy).\n\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/paolodragone/pymzn", "keywords": "", "license": "MIT", "maintainer": "", 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