{ "info": { "author": "Laura D'Arcy", "author_email": "luludarcy@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# graphRL with NetworkX\n\n\n\nThis repository contains a PIP package which is an OpenAI environment for simulating directed acyclic graphs for workflow scheduling, using a NetworkX backend.\n\n\n## Installation\n\ninstall this package via\n\n```bash\npip3 install graphRLnx\n```\n\n## Usage\n\n```python\nimport gym\nimport graphRLnx\n\nenv = gym.make('graphRL-v0')\n```\n\n\n## The Environment\n\nTbc.\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/luludarcy/graphRLnx", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "graphRLnx", "package_url": "https://pypi.org/project/graphRLnx/", "platform": "", "project_url": "https://pypi.org/project/graphRLnx/", "project_urls": { "Homepage": "https://github.com/luludarcy/graphRLnx" }, "release_url": "https://pypi.org/project/graphRLnx/0.0.3/", "requires_dist": [ "gym", "networkx" ], "requires_python": "", "summary": "a directed acyclic graph environment for use with openAI gym, with a networkX backend", "version": "0.0.3" }, "last_serial": 4603657, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "3af711bd6328b72f5a08e10fe95d040b", "sha256": "d7e5a9c22aa288213127b2adbe0c81824170f98002471cfb20ffaaa2dbff2c91" }, "downloads": -1, "filename": "graphRLnx-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "3af711bd6328b72f5a08e10fe95d040b", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 4798, "upload_time": "2018-12-15T20:23:53", "url": "https://files.pythonhosted.org/packages/20/1c/c0c53e61fe0830e6f5550f901a446b49436e001e746f374bbe9ab4be2d30/graphRLnx-0.0.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "5bf50a77a5e3cb28b2552595b8a700e0", "sha256": "19a0b50476c58e55842d4d32aab81b34f32014d440a3f937b0575e41af696d0f" }, "downloads": -1, "filename": "graphRLnx-0.0.2.tar.gz", "has_sig": false, "md5_digest": "5bf50a77a5e3cb28b2552595b8a700e0", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3041, "upload_time": "2018-12-15T20:23:54", "url": "https://files.pythonhosted.org/packages/da/ae/cc27e0222f81ef43a0732541c2d2e3602a6be4523462866f4bc00c4cedbf/graphRLnx-0.0.2.tar.gz" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "28c7ea7630f7791c6c8f66ca966ddae3", "sha256": "f8f8ba8d9129f9835942af28ea83b3cbe2fc0020da85c2933f52519ccf58cb00" }, "downloads": -1, "filename": "graphRLnx-0.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "28c7ea7630f7791c6c8f66ca966ddae3", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 5143, "upload_time": "2018-12-15T21:20:35", "url": "https://files.pythonhosted.org/packages/6b/54/af6f42ea599591cae262979d7e99954cd7638c4a1cfea476168e3f856b65/graphRLnx-0.0.3-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "775d029b3106bc9a83249a62f05d8626", "sha256": "e42c5e4cfa5fd311076a2d84194e5edf313557069f71d6c793ce8dda23a5bfa0" }, "downloads": -1, "filename": "graphRLnx-0.0.3.tar.gz", "has_sig": false, "md5_digest": "775d029b3106bc9a83249a62f05d8626", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3197, "upload_time": "2018-12-15T21:20:37", "url": "https://files.pythonhosted.org/packages/29/62/ee5fc9bdb65e1966bc22e291dd9ed33bbf1cb7bab3284823462a92e4d5ba/graphRLnx-0.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "28c7ea7630f7791c6c8f66ca966ddae3", "sha256": "f8f8ba8d9129f9835942af28ea83b3cbe2fc0020da85c2933f52519ccf58cb00" }, "downloads": -1, "filename": "graphRLnx-0.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "28c7ea7630f7791c6c8f66ca966ddae3", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 5143, "upload_time": "2018-12-15T21:20:35", "url": "https://files.pythonhosted.org/packages/6b/54/af6f42ea599591cae262979d7e99954cd7638c4a1cfea476168e3f856b65/graphRLnx-0.0.3-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "775d029b3106bc9a83249a62f05d8626", "sha256": "e42c5e4cfa5fd311076a2d84194e5edf313557069f71d6c793ce8dda23a5bfa0" }, "downloads": -1, "filename": "graphRLnx-0.0.3.tar.gz", "has_sig": false, "md5_digest": "775d029b3106bc9a83249a62f05d8626", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3197, "upload_time": "2018-12-15T21:20:37", "url": "https://files.pythonhosted.org/packages/29/62/ee5fc9bdb65e1966bc22e291dd9ed33bbf1cb7bab3284823462a92e4d5ba/graphRLnx-0.0.3.tar.gz" } ] }