{ "info": { "author": "D-Wave Systems Inc.", "author_email": "mwong@dwavesys.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: Apache Software License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": ".. image:: https://img.shields.io/pypi/v/penaltymodel-lp.svg\n :target: https://pypi.python.org/pypi/penaltymodel-lp\n\nPenalty Model - Linear Programming\n==================================================\n\n.. index-start-marker\n\nGenerates penalty models using `scipy.optimize`_'s Linear Programming capability.\nServes as a factory and cache for penaltymodel.\n\nOn install, penaltymodel-lp registers an entry point that can be read by\npenaltymodel. It will be used automatically by any project that uses penaltymodel's\n:code:`get_penalty_model` function.\n\n.. _scipy.optimize: https://docs.scipy.org/doc/scipy/reference/optimize.html\n\n.. index-end-marker\n\nInstallation\n------------\n\n.. installation-start-marker\n\nTo install:\n\n.. code-block:: bash\n\n pip install penaltymodel-lp\n\nTo build from souce:\n\n.. code-block:: bash\n\n cd penaltymodel_lp\n pip install -r requirements.txt\n python setup.py install\n\n.. installation-end-marker\n\n\nLicense\n-------\n\nReleased under the Apache License 2.0\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/dwavesystems/penaltymodel", "keywords": "", "license": "Apache 2.0", "maintainer": "", "maintainer_email": "", "name": "penaltymodel-lp", "package_url": "https://pypi.org/project/penaltymodel-lp/", "platform": "", "project_url": "https://pypi.org/project/penaltymodel-lp/", "project_urls": { "Homepage": "https://github.com/dwavesystems/penaltymodel" }, "release_url": "https://pypi.org/project/penaltymodel-lp/0.1.0/", "requires_dist": [ "dimod (<0.9.0,>=0.6.0)", "penaltymodel (<0.17.0,>=0.16.0)", "scipy (<2.0.0,>=0.15.0)", "numpy (<1.16.0,>=0.0.0)" ], "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*", "summary": "Generates penalty models using SciPy's linear programming.", "version": "0.1.0" }, "last_serial": 4927830, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "ea6b69404e6ad6de9004240afaba2a21", "sha256": "7d74c2b71bcb6ae6973e6760f3eb0114b7364c45423f228ac639280de951fe98" }, "downloads": -1, "filename": "penaltymodel_lp-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "ea6b69404e6ad6de9004240afaba2a21", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*", "size": 6266, "upload_time": "2019-03-12T00:56:18", "url": "https://files.pythonhosted.org/packages/f6/43/6308cb23364733689c6c25460f899e8c123c589f919eb707960abc1d8110/penaltymodel_lp-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "5b84f81c626dc77789c6fbaad559180a", "sha256": "0b153fed38a778bceb9456ba9570f5c9ade4551ad1423ecee3b3a04bed21b7db" }, "downloads": -1, "filename": "penaltymodel-lp-0.1.0.tar.gz", "has_sig": false, "md5_digest": "5b84f81c626dc77789c6fbaad559180a", "packagetype": "sdist", "python_version": "source", "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*", "size": 5159, "upload_time": "2019-03-12T00:56:20", "url": "https://files.pythonhosted.org/packages/14/0e/b02328ca93b71baeff4465cf6a9e62320c4e2884b437c0636a1df358a7fc/penaltymodel-lp-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "ea6b69404e6ad6de9004240afaba2a21", "sha256": "7d74c2b71bcb6ae6973e6760f3eb0114b7364c45423f228ac639280de951fe98" }, "downloads": -1, "filename": "penaltymodel_lp-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "ea6b69404e6ad6de9004240afaba2a21", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*", "size": 6266, "upload_time": "2019-03-12T00:56:18", "url": "https://files.pythonhosted.org/packages/f6/43/6308cb23364733689c6c25460f899e8c123c589f919eb707960abc1d8110/penaltymodel_lp-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "5b84f81c626dc77789c6fbaad559180a", "sha256": "0b153fed38a778bceb9456ba9570f5c9ade4551ad1423ecee3b3a04bed21b7db" }, "downloads": -1, "filename": "penaltymodel-lp-0.1.0.tar.gz", "has_sig": false, "md5_digest": "5b84f81c626dc77789c6fbaad559180a", "packagetype": "sdist", "python_version": "source", "requires_python": ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*", "size": 5159, "upload_time": "2019-03-12T00:56:20", "url": "https://files.pythonhosted.org/packages/14/0e/b02328ca93b71baeff4465cf6a9e62320c4e2884b437c0636a1df358a7fc/penaltymodel-lp-0.1.0.tar.gz" } ] }