{
    "info": {
        "author": "Taishi Ikeda",
        "author_email": "taishi.ikeda.0323@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Natural Language :: Japanese",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: Unix",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Text Processing :: Linguistic"
        ],
        "description": "|Codacy Badge| |Build Status| |Build status| |Coverage Status|\n|Documentation Status| |PyPI|\n\nNagisa is a python module for Japanese word segmentation/POS-tagging. It\nis designed to be a simple and easy-to-use tool.\n\nThis tool has the following features. - Based on recurrent neural\nnetworks. - The word segmentation model uses character- and word-level\nfeatures\n`[\u6c60\u7530+] <http://www.anlp.jp/proceedings/annual_meeting/2017/pdf_dir/B6-2.pdf>`__.\n- The POS-tagging model uses tag dictionary information\n`[Inoue+] <http://www.aclweb.org/anthology/K17-1042>`__.\n\nFor more details refer to the following links. - The article in Japanese\nis available\n`here <https://qiita.com/taishi-i/items/5b9275a606b392f7f58e>`__. - The\ndocumentation is available\n`here <https://nagisa.readthedocs.io/en/latest/?badge=latest>`__.\n\nInstallation\n============\n\nPython 2.7.x or 3.5+ is required. This tool uses\n`DyNet <https://github.com/clab/dynet>`__ (the Dynamic Neural Network\nToolkit) to calcucate neural networks. You can install nagisa by using\nthe following command.\n\n.. code:: bash\n\n    pip install nagisa\n\nFor Windows users, please run it with python 3.6+ (64bit).\n\nBasic usage\n===========\n\nSample of word segmentation and POS-tagging for Japanese.\n\n.. code:: python\n\n    import nagisa\n\n    text = 'Python\u3067\u7c21\u5358\u306b\u4f7f\u3048\u308b\u30c4\u30fc\u30eb\u3067\u3059'\n    words = nagisa.tagging(text)\n    print(words)\n    #=> Python/\u540d\u8a5e \u3067/\u52a9\u8a5e \u7c21\u5358/\u5f62\u72b6\u8a5e \u306b/\u52a9\u52d5\u8a5e \u4f7f\u3048\u308b/\u52d5\u8a5e \u30c4\u30fc\u30eb/\u540d\u8a5e \u3067\u3059/\u52a9\u52d5\u8a5e\n\n    # Get a list of words\n    print(words.words)\n    #=> ['Python', '\u3067', '\u7c21\u5358', '\u306b', '\u4f7f\u3048\u308b', '\u30c4\u30fc\u30eb', '\u3067\u3059']\n\n    # Get a list of POS-tags\n    print(words.postags)\n    #=> ['\u540d\u8a5e', '\u52a9\u8a5e', '\u5f62\u72b6\u8a5e', '\u52a9\u52d5\u8a5e', '\u52d5\u8a5e', '\u540d\u8a5e', '\u52a9\u52d5\u8a5e']\n\nPost-processing functions\n=========================\n\nFilter and extarct words by the specific POS tags.\n\n.. code:: python\n\n    # Filter the words of the specific POS tags.\n    words = nagisa.filter(text, filter_postags=['\u52a9\u8a5e', '\u52a9\u52d5\u8a5e'])\n    print(words)\n    #=> Python/\u540d\u8a5e \u7c21\u5358/\u5f62\u72b6\u8a5e \u4f7f\u3048\u308b/\u52d5\u8a5e \u30c4\u30fc\u30eb/\u540d\u8a5e\n\n    # Extarct only nouns.\n    words = nagisa.extract(text, extract_postags=['\u540d\u8a5e'])\n    print(words)\n    #=> Python/\u540d\u8a5e \u30c4\u30fc\u30eb/\u540d\u8a5e\n\n    # This is a list of available POS-tags in nagisa.\n    print(nagisa.tagger.postags)\n    #=> ['\u88dc\u52a9\u8a18\u53f7', '\u540d\u8a5e', ... , 'URL']\n\nAdd the user dictionary in easy way.\n\n.. code:: python\n\n    # default\n    text = \"3\u6708\u306b\u898b\u305f\u300c3\u6708\u306e\u30e9\u30a4\u30aa\u30f3\u300d\"\n    print(nagisa.tagging(text))\n    #=> 3/\u540d\u8a5e \u6708/\u540d\u8a5e \u306b/\u52a9\u8a5e \u898b/\u52d5\u8a5e \u305f/\u52a9\u52d5\u8a5e \u300c/\u88dc\u52a9\u8a18\u53f7 3/\u540d\u8a5e \u6708/\u540d\u8a5e \u306e/\u52a9\u8a5e \u30e9\u30a4\u30aa\u30f3/\u540d\u8a5e \u300d/\u88dc\u52a9\u8a18\u53f7\n\n    # If a word (\"3\u6708\u306e\u30e9\u30a4\u30aa\u30f3\") is included in the single_word_list, it is recognized as a single word.\n    new_tagger = nagisa.Tagger(single_word_list=['3\u6708\u306e\u30e9\u30a4\u30aa\u30f3'])\n    print(new_tagger.tagging(text))\n    #=> 3/\u540d\u8a5e \u6708/\u540d\u8a5e \u306b/\u52a9\u8a5e \u898b/\u52d5\u8a5e \u305f/\u52a9\u52d5\u8a5e \u300c/\u88dc\u52a9\u8a18\u53f7 3\u6708\u306e\u30e9\u30a4\u30aa\u30f3/\u540d\u8a5e \u300d/\u88dc\u52a9\u8a18\u53f7\n\nTrain a model\n=============\n\nNagisa (v0.2.0+) provides a simple train method for a joint word\nsegmentation and sequence labeling (e.g, POS-tagging, NER) model.\n\nThe format of the train/dev/test files is tsv. Each line is ``word`` and\n``tag`` and one line is represented by ``word`` tab ``tag``. Note that\nyou put EOS between sentences. Refer to `sample\ndatasets </nagisa/data/sample_datasets>`__ and `tutorial (Train a model\nfor Universal\nDependencies) <https://nagisa.readthedocs.io/en/latest/tutorial.html>`__.\n\n::\n\n    $ cat sample.train\n    \u552f\u4e00  NOUN\n    \u306e   ADP\n    \u8da3\u5473  NOU\n    \u306f   ADP\n    \u6599\u7406  NOUN\n    EOS\n    \u3068\u3066\u3082 ADV\n    \u304a\u3044\u3057\u304b\u3063   ADJ\n    \u305f   AUX\n    \u3067\u3059  AUX\n    \u3002   PUNCT\n    EOS\n    \u30c9\u30eb  NOUN\n    \u306f   ADP\n    \u4e3b\u8981  ADJ\n    \u901a\u8ca8  NOUN\n    EOS\n\n.. code:: python\n\n    # After finish training, save the three model files (*.vocabs, *.params, *.hp).\n    nagisa.fit(train_file=\"sample.train\", dev_file=\"sample.dev\", test_file=\"sample.test\", model_name=\"sample\")\n\n    # Build the tagger by loading the trained model files.\n    sample_tagger = nagisa.Tagger(vocabs='sample.vocabs', params='sample.params', hp='sample.hp')\n\n    text = \"\u798f\u5ca1\u30fb\u535a\u591a\u306e\u89b3\u5149\u60c5\u5831\"\n    words = sample_tagger.tagging(text)\n    print(words)\n    #> \u798f\u5ca1/PROPN \u30fb/SYM \u535a\u591a/PROPN \u306e/ADP \u89b3\u5149/NOUN \u60c5\u5831/NOUN\n\n.. |Codacy Badge| image:: https://api.codacy.com/project/badge/Grade/769dd003c7184d4d81dad74fd8a322a1\n   :target: https://app.codacy.com/app/taishi-i/nagisa?utm_source=github.com&utm_medium=referral&utm_content=taishi-i/nagisa&utm_campaign=Badge_Grade_Dashboard\n.. |Build Status| image:: https://travis-ci.org/taishi-i/nagisa.svg?branch=master\n   :target: https://travis-ci.org/taishi-i/nagisa\n.. |Build status| image:: https://ci.appveyor.com/api/projects/status/6k35hmxl1juf1hqf?svg=true\n   :target: https://ci.appveyor.com/project/taishi-i/nagisa\n.. |Coverage Status| image:: https://coveralls.io/repos/github/taishi-i/nagisa/badge.svg?branch=master\n   :target: https://coveralls.io/github/taishi-i/nagisa?branch=master\n.. |Documentation Status| image:: https://readthedocs.org/projects/nagisa/badge/?version=latest\n   :target: https://nagisa.readthedocs.io/en/latest/?badge=latest\n.. |PyPI| image:: https://img.shields.io/pypi/v/nagisa.svg\n   :target: https://pypi.python.org/pypi/nagisa",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "https://github.com/taishi-i/nagisa/archive/0.2.4.tar.gz",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/taishi-i/nagisa",
        "keywords": "",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "nagisa",
        "package_url": "https://pypi.org/project/nagisa/",
        "platform": "Unix",
        "project_url": "https://pypi.org/project/nagisa/",
        "project_urls": {
            "Download": "https://github.com/taishi-i/nagisa/archive/0.2.4.tar.gz",
            "Homepage": "https://github.com/taishi-i/nagisa"
        },
        "release_url": "https://pypi.org/project/nagisa/0.2.4/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "A Japanese tokenizer based on recurrent neural networks",
        "version": "0.2.4"
    },
    "last_serial": 5634996,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "06ab1caf6fa4b547c475010e5484d4f7",
                    "sha256": "5e93424f3ab95cebdf61f5ebfcd54319a3948abd12b66c11aad813df575dbcc3"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "06ab1caf6fa4b547c475010e5484d4f7",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20641752,
                "upload_time": "2018-02-15T13:42:41",
                "url": "https://files.pythonhosted.org/packages/b3/f3/ac074f8db6e0c3da01ab2d7dfa4ab1328fc9930966d4566131a60718bbb6/nagisa-0.0.1.tar.gz"
            }
        ],
        "0.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "be0f56f36a361bfff7c2b7f291c730c4",
                    "sha256": "b84379d91c5b5f7cd6c30d0e413186c565f23533523713d077aaf9f67d74488c"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.2.tar.gz",
                "has_sig": false,
                "md5_digest": "be0f56f36a361bfff7c2b7f291c730c4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20647851,
                "upload_time": "2018-02-22T09:01:20",
                "url": "https://files.pythonhosted.org/packages/69/3e/c4b065b9816c5e1af313d607d908a4dda8db0fc17a4846f12781eddef258/nagisa-0.0.2.tar.gz"
            }
        ],
        "0.0.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "83308e6995d819cecc541aa60b12c312",
                    "sha256": "14f50b4fae7f7e365da34f4880cb13fcf47b32dc04593a3edea89ff7f1c5cf3b"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.3.tar.gz",
                "has_sig": false,
                "md5_digest": "83308e6995d819cecc541aa60b12c312",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20647141,
                "upload_time": "2018-02-25T06:27:34",
                "url": "https://files.pythonhosted.org/packages/0c/c2/c63711d3c11a0a427b4ac70db48a754bc4807692e810f7e3831c3cc1e3b8/nagisa-0.0.3.tar.gz"
            }
        ],
        "0.0.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7d1c2af665bf1539ec1b217270830598",
                    "sha256": "a98724d2899d254cc72745e94014376e69d2088b6d00a28a736a9a5f2588abed"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.4.tar.gz",
                "has_sig": false,
                "md5_digest": "7d1c2af665bf1539ec1b217270830598",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20648814,
                "upload_time": "2018-02-25T06:47:13",
                "url": "https://files.pythonhosted.org/packages/7f/e3/c6a0b1c4d939f3e2e485da0a2d6f2914ea6e48155fae9b6c117c2155f3a1/nagisa-0.0.4.tar.gz"
            }
        ],
        "0.0.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "93e0c3cba6f6056749a2ca45b64b3a8e",
                    "sha256": "e61fd0981f5aa5a2995df82cea1836e6c8b919acff2c5ddfe4ac1c51b52bed28"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.5.tar.gz",
                "has_sig": false,
                "md5_digest": "93e0c3cba6f6056749a2ca45b64b3a8e",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20648815,
                "upload_time": "2018-02-25T07:26:13",
                "url": "https://files.pythonhosted.org/packages/8d/a0/45d8d196b80f0a585f56e148e7af4488c559ee3ab87e8bac810f853c571f/nagisa-0.0.5.tar.gz"
            }
        ],
        "0.0.6": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b038023970b3eec2f0aba2d60070ea4d",
                    "sha256": "bf87ab957ff620cc0732f7af22c2f39f866fee0649dab3de6c33f092c92be70d"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.6.tar.gz",
                "has_sig": false,
                "md5_digest": "b038023970b3eec2f0aba2d60070ea4d",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20838122,
                "upload_time": "2018-03-19T15:31:07",
                "url": "https://files.pythonhosted.org/packages/ce/32/a6b953171a922d848de6a996afedc18dc88e3ab69db5f36ea1d71b72e431/nagisa-0.0.6.tar.gz"
            }
        ],
        "0.0.7": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e6d564ea6363e71325fb7df3bdf80926",
                    "sha256": "e7108a8c55ebb6653639012d63ee2856283b73cc89dfbfb7238b7ee087bd4ba2"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.7.tar.gz",
                "has_sig": false,
                "md5_digest": "e6d564ea6363e71325fb7df3bdf80926",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20839885,
                "upload_time": "2018-05-17T03:12:14",
                "url": "https://files.pythonhosted.org/packages/2d/f0/a6e2ab5d161768c3460404204d44035660b68f25ad20c5946d44ea6db677/nagisa-0.0.7.tar.gz"
            }
        ],
        "0.0.8": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0973c21b99ac9fdd8a1858e736af13fb",
                    "sha256": "0f00cb006c8130e9df6af3703c37d77d73f8049c34c9ac1c6c9062225a41cc2f"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.8.tar.gz",
                "has_sig": false,
                "md5_digest": "0973c21b99ac9fdd8a1858e736af13fb",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20837992,
                "upload_time": "2018-05-22T15:00:56",
                "url": "https://files.pythonhosted.org/packages/f4/7b/fe6aceb3d236b6551daa97b01ea084fbbb88c7bb0b7ad8654e9a4af4ce9d/nagisa-0.0.8.tar.gz"
            }
        ],
        "0.0.9": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "461c8f34c40d57a8f44b842b871391cd",
                    "sha256": "9caff3c399d69c00961c39ea96cd22c702e68552498e8ec329384e499b07dae1"
                },
                "downloads": -1,
                "filename": "nagisa-0.0.9.tar.gz",
                "has_sig": false,
                "md5_digest": "461c8f34c40d57a8f44b842b871391cd",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20841233,
                "upload_time": "2018-06-27T16:32:59",
                "url": "https://files.pythonhosted.org/packages/90/8d/a3c91b4762f7b65ffcbef8f1fbad62332fcf901d32b7bd697b79329a94a0/nagisa-0.0.9.tar.gz"
            }
        ],
        "0.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "dcdf7e19baf66ad61b560e298a16bdd8",
                    "sha256": "a0ad541106afd96218b2e9dcc68caefd2ab2a400590d9f26aa56e775e5c2be15"
                },
                "downloads": -1,
                "filename": "nagisa-0.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "dcdf7e19baf66ad61b560e298a16bdd8",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20841289,
                "upload_time": "2018-09-02T07:02:07",
                "url": "https://files.pythonhosted.org/packages/a4/a3/7b6c2208f3c1db5aabafeee052d0cdbb5df57e60881730f78544ad262835/nagisa-0.1.0.tar.gz"
            }
        ],
        "0.1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6416af11cc4c7fee72d36ff1bd288c4a",
                    "sha256": "442ea19ffae679f4ab93e09780d5cd283fb4ff1dbd961a30c67bd9d74c17bb18"
                },
                "downloads": -1,
                "filename": "nagisa-0.1.1.tar.gz",
                "has_sig": false,
                "md5_digest": "6416af11cc4c7fee72d36ff1bd288c4a",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20841464,
                "upload_time": "2018-09-21T12:29:29",
                "url": "https://files.pythonhosted.org/packages/a1/40/a94f7944ee5d6a4d44eadcc966fe0d46b5155fb139d7b4d708e439617df1/nagisa-0.1.1.tar.gz"
            }
        ],
        "0.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "482b0f2d8e77689eb3552573917cd6ca",
                    "sha256": "2d8454acd379905b88f13dc020aa9c769b91706eb1b0afcdd8913a6da815175d"
                },
                "downloads": -1,
                "filename": "nagisa-0.1.2.tar.gz",
                "has_sig": false,
                "md5_digest": "482b0f2d8e77689eb3552573917cd6ca",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20842822,
                "upload_time": "2018-12-25T15:08:41",
                "url": "https://files.pythonhosted.org/packages/a6/19/b3bb95389b45f719528f5c6d32d46886be276fcac439932746ed758c5839/nagisa-0.1.2.tar.gz"
            }
        ],
        "0.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e9897d8c9edb0937b2fe2d1b409cadb8",
                    "sha256": "a3a4e601b57db193b51db5febc7e1f76d2ff8a3fb24944f4021244aadb022e0f"
                },
                "downloads": -1,
                "filename": "nagisa-0.2.0.tar.gz",
                "has_sig": false,
                "md5_digest": "e9897d8c9edb0937b2fe2d1b409cadb8",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20888885,
                "upload_time": "2019-01-09T17:34:35",
                "url": "https://files.pythonhosted.org/packages/d9/66/0f6fdea8e341ce39fb4a4effb0a9c7707449ac5e8bc9e22d120d18f58202/nagisa-0.2.0.tar.gz"
            }
        ],
        "0.2.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "9c4aaa04bfd402232baed1006b99af6b",
                    "sha256": "f570acc620d76bf6908d23eef96645e52c6d79b6187c52d1269cfa3b429e8a76"
                },
                "downloads": -1,
                "filename": "nagisa-0.2.1.tar.gz",
                "has_sig": false,
                "md5_digest": "9c4aaa04bfd402232baed1006b99af6b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20890640,
                "upload_time": "2019-03-03T16:50:19",
                "url": "https://files.pythonhosted.org/packages/39/d6/1a5cf5cf1abaa97101bcaff6e72d42a09de66bfbb4a37eae47adab634b80/nagisa-0.2.1.tar.gz"
            }
        ],
        "0.2.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "c2864512c259c640f5413c1699e4f0a0",
                    "sha256": "9590080c97e24985fe83315ecfd3cbd59214ecbcdf94b15e4b62863863daeb4c"
                },
                "downloads": -1,
                "filename": "nagisa-0.2.2.tar.gz",
                "has_sig": false,
                "md5_digest": "c2864512c259c640f5413c1699e4f0a0",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20891040,
                "upload_time": "2019-05-03T16:54:58",
                "url": "https://files.pythonhosted.org/packages/11/17/faa25ceb7964d758e593f753ec4dc7c2be13ec94d948868d9761c81f732f/nagisa-0.2.2.tar.gz"
            }
        ],
        "0.2.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "73e5dc31dad5c9e2082b78923a6bf243",
                    "sha256": "5023215f1a63b42bfcab535a15e3a7b9c23652ae237103b9206d113ca84377cc"
                },
                "downloads": -1,
                "filename": "nagisa-0.2.3.tar.gz",
                "has_sig": false,
                "md5_digest": "73e5dc31dad5c9e2082b78923a6bf243",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20891227,
                "upload_time": "2019-05-19T06:51:29",
                "url": "https://files.pythonhosted.org/packages/d4/c5/dd56d380f037334b75bcdd6a3e41f1990c07fa0712b754fbc9fa878199f4/nagisa-0.2.3.tar.gz"
            }
        ],
        "0.2.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "4bbb17c01acd4a6a4f63f63559686947",
                    "sha256": "a5b7a86bed38767848ab22340bc7eb1709a92fb64a53f1d19458113b08c1b8ea"
                },
                "downloads": -1,
                "filename": "nagisa-0.2.4.tar.gz",
                "has_sig": false,
                "md5_digest": "4bbb17c01acd4a6a4f63f63559686947",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20895333,
                "upload_time": "2019-08-05T15:34:00",
                "url": "https://files.pythonhosted.org/packages/29/25/f8a7916c541c79eb59c3a30f80ab2055ff26330518bdffa3e38ee4d76edf/nagisa-0.2.4.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "4bbb17c01acd4a6a4f63f63559686947",
                "sha256": "a5b7a86bed38767848ab22340bc7eb1709a92fb64a53f1d19458113b08c1b8ea"
            },
            "downloads": -1,
            "filename": "nagisa-0.2.4.tar.gz",
            "has_sig": false,
            "md5_digest": "4bbb17c01acd4a6a4f63f63559686947",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 20895333,
            "upload_time": "2019-08-05T15:34:00",
            "url": "https://files.pythonhosted.org/packages/29/25/f8a7916c541c79eb59c3a30f80ab2055ff26330518bdffa3e38ee4d76edf/nagisa-0.2.4.tar.gz"
        }
    ]
}