{ "info": { "author": "Thomas Pircher", "author_email": "tehpeh-web@tty1.net", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: MIT License", "Topic :: Utilities" ], "description": "qm.py\n=====\n\nA Python implementation of the Quine McCluskey algorithm.\n\nThis implementation of the Quine McCluskey algorithm has no inherent limits\n(other than the calculation time) on the size of the inputs.\n\nAlso, in the limited tests of the author of this module, this implementation is\nconsiderably faster than other public Python implementations for non-trivial\ninputs.\n\nAnother unique feature of this implementation is the possibility to use the XOR\nand XNOR operators, in addition to the normal AND operator, to minimise the\nterms. This slows down the algorithm, but in some cases the result can be much\nmore compact than a sum of product.\n\n\nHow to install qm.py\n--------------------\n\nInstall the package with\n\n python setup.py install\n\nThis needs superuser privileges. If you want to install the package locally,\nyou can run:\n\n mypath=XXX\n PYTHONPATH=$mypath/lib/python2.7/site-packages/ python setup.py install --prefix $mypath\n\nwhere XXX can be any path. You may have to change the PYTHONPATH according to your\npython version.\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "https://github.com/tpircher/quine-mccluskey/releases/tag/v0.3", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/tpircher/quine-mccluskey", "keywords": "Quine McCluskey,XOR", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "quine-mccluskey", "package_url": "https://pypi.org/project/quine-mccluskey/", "platform": "", "project_url": "https://pypi.org/project/quine-mccluskey/", "project_urls": { "Download": "https://github.com/tpircher/quine-mccluskey/releases/tag/v0.3", "Homepage": "https://github.com/tpircher/quine-mccluskey" }, "release_url": "https://pypi.org/project/quine-mccluskey/0.3/", "requires_dist": null, "requires_python": "", "summary": "An implementation of the Quine-McCluskey algorithm", "version": "0.3" }, "last_serial": 5406715, "releases": { "0.1": [], "0.2": [ { "comment_text": "", "digests": { "md5": "74f7e419de1f8fb2e5b4a41ad313e9d1", "sha256": "9b1458eeb9fffcf8202079874ed77d8de62110849afb85d289be23fae132dd0b" }, "downloads": -1, "filename": "quine_mccluskey-0.2.tar.gz", "has_sig": false, "md5_digest": "74f7e419de1f8fb2e5b4a41ad313e9d1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7672, "upload_time": "2014-01-03T22:20:30", "url": "https://files.pythonhosted.org/packages/28/b1/d41dbf8a109c6d4c61966a27a18118cce9ff5fffd9a2d558c6b0d67a5f55/quine_mccluskey-0.2.tar.gz" } ], "0.3": [ { "comment_text": "", "digests": { "md5": "309f231c5bcf7e52f95cbbec6cd20214", "sha256": "7b6d50d993e7fe20448d24267e947723b3271137737488bf07e63cf6abda2e59" }, "downloads": -1, "filename": "quine_mccluskey-0.3-py2-none-any.whl", "has_sig": false, "md5_digest": "309f231c5bcf7e52f95cbbec6cd20214", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 10763, "upload_time": "2019-06-16T14:49:28", "url": "https://files.pythonhosted.org/packages/c5/3c/336877ca5bfa4e4a7ac800f7624bf2c051088b2cd2dd6165186d5c05b64a/quine_mccluskey-0.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "a4dd57f7e74057ee122022d0d957ab70", "sha256": "348fa01b4778a45c41789ade08b838b18bd0d8da194ca94164e89739ec9d387d" }, "downloads": -1, "filename": "quine_mccluskey-0.3.tar.gz", "has_sig": false, "md5_digest": "a4dd57f7e74057ee122022d0d957ab70", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8905, "upload_time": "2019-06-16T14:49:29", "url": "https://files.pythonhosted.org/packages/a0/d6/60c205f6241ba73ca66cba56597ee598a3d0ee056a87b7bf4e8727fa5c67/quine_mccluskey-0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "309f231c5bcf7e52f95cbbec6cd20214", "sha256": "7b6d50d993e7fe20448d24267e947723b3271137737488bf07e63cf6abda2e59" }, "downloads": -1, "filename": "quine_mccluskey-0.3-py2-none-any.whl", "has_sig": false, "md5_digest": "309f231c5bcf7e52f95cbbec6cd20214", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 10763, "upload_time": "2019-06-16T14:49:28", "url": "https://files.pythonhosted.org/packages/c5/3c/336877ca5bfa4e4a7ac800f7624bf2c051088b2cd2dd6165186d5c05b64a/quine_mccluskey-0.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "a4dd57f7e74057ee122022d0d957ab70", "sha256": "348fa01b4778a45c41789ade08b838b18bd0d8da194ca94164e89739ec9d387d" }, "downloads": -1, "filename": "quine_mccluskey-0.3.tar.gz", "has_sig": false, "md5_digest": "a4dd57f7e74057ee122022d0d957ab70", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8905, "upload_time": "2019-06-16T14:49:29", "url": "https://files.pythonhosted.org/packages/a0/d6/60c205f6241ba73ca66cba56597ee598a3d0ee056a87b7bf4e8727fa5c67/quine_mccluskey-0.3.tar.gz" } ] }