{
    "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": "This repository contains a PIP package which is an OpenAI environment for simulating directed acyclic graphs for workflow scheduling.\n\n\n## Installation\n\nInstall the [OpenAI gym](https://gym.openai.com/docs/).\n\nThen install this package via\n\n```bash\npip install -e .\n```\n\n## Usage\n\n```python\nimport gym\nimport graphRL\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/graphRL",
        "keywords": "",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "graphRL",
        "package_url": "https://pypi.org/project/graphRL/",
        "platform": "",
        "project_url": "https://pypi.org/project/graphRL/",
        "project_urls": {
            "Homepage": "https://github.com/luludarcy/graphRL"
        },
        "release_url": "https://pypi.org/project/graphRL/0.0.1/",
        "requires_dist": [
            "gym"
        ],
        "requires_python": "",
        "summary": "a directed acyclic graph environment for use with openAI gym",
        "version": "0.0.1"
    },
    "last_serial": 4600708,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6f19e17244362c25d3d884cc2746e108",
                    "sha256": "fdf3ab7f6095db9a44dfaad087fd459cd2ec66e6ae4c7bbaa49fc605871a6335"
                },
                "downloads": -1,
                "filename": "graphRL-0.0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "6f19e17244362c25d3d884cc2746e108",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 4278,
                "upload_time": "2018-12-14T20:30:42",
                "url": "https://files.pythonhosted.org/packages/4a/3c/21872f097872ef00fd1a4adb588a3e25a2dfcfcd8f379eccbeb0b2c97f65/graphRL-0.0.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "2a37e7e91d4735f2713c63f0459d8ca5",
                    "sha256": "04d5da9434cf6494cf7d017d6ad3334d621720365dbef88c391ea7feaec727b9"
                },
                "downloads": -1,
                "filename": "graphRL-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "2a37e7e91d4735f2713c63f0459d8ca5",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2884,
                "upload_time": "2018-12-14T20:30:44",
                "url": "https://files.pythonhosted.org/packages/31/10/4c27b61501ff5c402c3a6ead5237231df042e2ec3f8bdd5554a09453953e/graphRL-0.0.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "6f19e17244362c25d3d884cc2746e108",
                "sha256": "fdf3ab7f6095db9a44dfaad087fd459cd2ec66e6ae4c7bbaa49fc605871a6335"
            },
            "downloads": -1,
            "filename": "graphRL-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "6f19e17244362c25d3d884cc2746e108",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 4278,
            "upload_time": "2018-12-14T20:30:42",
            "url": "https://files.pythonhosted.org/packages/4a/3c/21872f097872ef00fd1a4adb588a3e25a2dfcfcd8f379eccbeb0b2c97f65/graphRL-0.0.1-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "2a37e7e91d4735f2713c63f0459d8ca5",
                "sha256": "04d5da9434cf6494cf7d017d6ad3334d621720365dbef88c391ea7feaec727b9"
            },
            "downloads": -1,
            "filename": "graphRL-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "2a37e7e91d4735f2713c63f0459d8ca5",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2884,
            "upload_time": "2018-12-14T20:30:44",
            "url": "https://files.pythonhosted.org/packages/31/10/4c27b61501ff5c402c3a6ead5237231df042e2ec3f8bdd5554a09453953e/graphRL-0.0.1.tar.gz"
        }
    ]
}