{
    "info": {
        "author": "Xinqiang (Shawn) Ding",
        "author_email": "xqding@umich.edu",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "# A PyTorch implementation of multistate Bennette acceptance ratio (MBAR) method\n\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/xqding/MBAR_PyTorch",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "MBAR-PyTorch",
        "package_url": "https://pypi.org/project/MBAR-PyTorch/",
        "platform": "",
        "project_url": "https://pypi.org/project/MBAR-PyTorch/",
        "project_urls": {
            "Homepage": "https://github.com/xqding/MBAR_PyTorch"
        },
        "release_url": "https://pypi.org/project/MBAR-PyTorch/0.0.0a1/",
        "requires_dist": [
            "numpy (>=1.14.0)",
            "scipy (>=1.1.0)",
            "torch (>=0.4.0)"
        ],
        "requires_python": "",
        "summary": "A fast implementation of MBAR method using PyTorch",
        "version": "0.0.0a1"
    },
    "last_serial": 3925592,
    "releases": {
        "0.0.0a1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "d5fe5c20691386bb6ae62bf718293502",
                    "sha256": "262a3d417286a79a03109f5678474f18fbd670a6e7d15dd3abbe35c60d5a4d59"
                },
                "downloads": -1,
                "filename": "MBAR_PyTorch-0.0.0a1-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "d5fe5c20691386bb6ae62bf718293502",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 4996,
                "upload_time": "2018-06-03T15:30:11",
                "url": "https://files.pythonhosted.org/packages/13/9b/5552adbe4449f5f70a54b584bec30832c98257b302990b861a2349b8a455/MBAR_PyTorch-0.0.0a1-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "3c71066737bc4631cbcc41845bc3ff9a",
                    "sha256": "230c5e99113a69d030ad942fba46220b652d7a9955990e89623598a71bf0665b"
                },
                "downloads": -1,
                "filename": "MBAR_PyTorch-0.0.0a1.tar.gz",
                "has_sig": false,
                "md5_digest": "3c71066737bc4631cbcc41845bc3ff9a",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 3481,
                "upload_time": "2018-06-03T15:30:12",
                "url": "https://files.pythonhosted.org/packages/b3/5c/8d14c2959e7a40143089c403783c089391a81dcbef37cf869c2f46662be5/MBAR_PyTorch-0.0.0a1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "d5fe5c20691386bb6ae62bf718293502",
                "sha256": "262a3d417286a79a03109f5678474f18fbd670a6e7d15dd3abbe35c60d5a4d59"
            },
            "downloads": -1,
            "filename": "MBAR_PyTorch-0.0.0a1-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "d5fe5c20691386bb6ae62bf718293502",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 4996,
            "upload_time": "2018-06-03T15:30:11",
            "url": "https://files.pythonhosted.org/packages/13/9b/5552adbe4449f5f70a54b584bec30832c98257b302990b861a2349b8a455/MBAR_PyTorch-0.0.0a1-py2.py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "3c71066737bc4631cbcc41845bc3ff9a",
                "sha256": "230c5e99113a69d030ad942fba46220b652d7a9955990e89623598a71bf0665b"
            },
            "downloads": -1,
            "filename": "MBAR_PyTorch-0.0.0a1.tar.gz",
            "has_sig": false,
            "md5_digest": "3c71066737bc4631cbcc41845bc3ff9a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3481,
            "upload_time": "2018-06-03T15:30:12",
            "url": "https://files.pythonhosted.org/packages/b3/5c/8d14c2959e7a40143089c403783c089391a81dcbef37cf869c2f46662be5/MBAR_PyTorch-0.0.0a1.tar.gz"
        }
    ]
}