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        "author": "Clemens Wolff",
        "author_email": "clemens.wolff+pypi@gmail.com",
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            "Development Status :: 5 - Production/Stable",
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            "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",
            "Topic :: Utilities"
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        "description": "*********\nGutenberg\n*********\n\n.. image:: https://travis-ci.org/c-w/gutenberg.svg?branch=master\n    :target: https://travis-ci.org/c-w/gutenberg\n\n.. image:: https://clewolff.visualstudio.com/gutenberg/_apis/build/status/c-w.gutenberg?branchName=master\n    :target: https://clewolff.visualstudio.com/gutenberg/\n\n.. image:: https://codecov.io/gh/c-w/gutenberg/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/c-w/gutenberg\n\n.. image:: https://img.shields.io/pypi/v/gutenberg.svg\n    :target: https://pypi.python.org/pypi/gutenberg/\n\n.. image:: https://img.shields.io/pypi/pyversions/gutenberg.svg\n    :target: https://pypi.python.org/pypi/gutenberg/\n\n\nOverview\n========\n\nThis package contains a variety of scripts to make working with the `Project\nGutenberg <http://www.gutenberg.org>`_ body of public domain texts easier.\n\nThe functionality provided by this package includes:\n\n* Downloading texts from Project Gutenberg.\n* Cleaning the texts: removing all the crud, leaving just the text behind.\n* Making meta-data about the texts easily accessible.\n\nThe package has been tested with Python 2.7 and 3.5+.\n\nAn HTTP interface to this package exists too.\n`Try it out! <https://github.com/c-w/gutenberg-http>`_\n\n\nInstallation\n============\n\nThis project is on `PyPI <https://pypi.python.org/pypi/Gutenberg>`_, so I'd\nrecommend that you just install everything from there using your favourite\nPython package manager.\n\n.. sourcecode :: sh\n\n    pip install gutenberg\n\nIf you want to install from source or modify the package, you'll need to clone\nthis repository:\n\n.. sourcecode :: sh\n\n    git clone https://github.com/c-w/Gutenberg.git\n\nNow, you should probably install the dependencies for the package and verify\nyour checkout by running the tests.\n\n.. sourcecode :: sh\n\n    cd Gutenberg\n\n    virtualenv --no-site-packages virtualenv\n    source virtualenv/bin/activate\n    pip install -r requirements-dev.pip\n    pip install .\n\n    nose2\n\nAlternatively, you can also run the project via Docker:\n\n.. sourcecode :: sh\n\n    docker build -t gutenberg -f Dockerfile-py3 .\n\n    docker run -it -v /some/mount/path:/data gutenberg python\n\n\nPython 3\n--------\n\nThis package depends on BSD-DB. The bsddb module was removed from the Python\nstandard library since version 2.7. This means that if you wish to use gutenberg\non Python 3, you will need to manually install BSD-DB.\n\nLinux\n*****\n\nOn Linux, you can usually install BSD-DB using your distribution's package\nmanager. For example, on Ubuntu, you can use apt-get:\n\n.. sourcecode :: sh\n\n    sudo apt-get install libdb++-dev\n    export BERKELEYDB_DIR=/usr\n    pip install .\n\nMacOS\n*****\n\nOn Mac, you can install BSD-DB using `homebrew <https://homebrew.sh/>`_:\n\n.. sourcecode :: sh\n\n    brew install berkeley-db4\n    pip install .\n\nWindows\n*******\n\nOn Windows, it's easiest to download a pre-compiled version of BSD-DB from\n`pythonlibs <http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_.\n\nFor example, if you have Python 3.5 on a 64-bit version of Windows, you\nshould download :code:`bsddb3\u20116.2.1\u2011cp35\u2011cp35m\u2011win_amd64.whl`.\n\nAfter you download the wheel, install it and you're good to go:\n\n.. sourcecode :: bash\n\n    pip install bsddb3\u20116.2.1\u2011cp35\u2011cp35m\u2011win_amd64.whl\n    pip install .\n\nLicense conflicts\n*****************\n\nSince its v6.x releases, BSD-DB switched to the `AGPL3 <https://www.gnu.org/licenses/agpl-3.0.en.html>`_\nlicense which is stricter than this project's `Apache v2 <https://www.apache.org/licenses/LICENSE-2.0>`_\nlicense. This means that unless you're happy to comply to the `terms <https://tldrlegal.com/license/gnu-affero-general-public-license-v3-(agpl-3.0)>`_\nof the AGPL3 license, you'll have to install an ealier version of BSD-DB\n(anything between 4.8.30 and 5.x should be fine). If you are happy to use this\nproject under AGPL3 (or if you have a commercial license for BSD-DB), set the\nfollowing environment variable before attempting to install BSD-DB:\n\n.. sourcecode :: bash\n\n    YES_I_HAVE_THE_RIGHT_TO_USE_THIS_BERKELEY_DB_VERSION=1\n\n\nApache Jena Fuseki\n------------------\n\nAs an alternative to the BSD-DB backend, this package can also use `Apache Jena Fuseki <https://jena.apache.org/documentation/fuseki2/>`_\nfor the metadata store. The Apache Jena Fuseki backend is activated by\nsetting the :code:`GUTENBERG_FUSEKI_URL` environment variable to the HTTP\nendpoint at which Fuseki is listening. If the Fuseki server has HTTP basic\nauthentication enabled, the username and password can be provided via the\n:code:`GUTENBERG_FUSEKI_USER` and :code:`GUTENBERG_FUSEKI_PASSWORD` environment\nvariables.\n\nFor local development, the Fuseki server can be run via Docker:\n\n.. sourcecode :: bash\n\n    docker run \\\n        --detach \\\n        --publish 3030:3030 \\\n        --env ADMIN_PASSWORD=some-password \\\n        --volume /some/mount/location:/fuseki \\\n        stain/jena-fuseki:3.6.0 \\\n        /jena-fuseki/fuseki-server --loc=/fuseki --update /ds\n\n    export GUTENBERG_FUSEKI_URL=http://localhost:3030/ds\n    export GUTENBERG_FUSEKI_USER=admin\n    export GUTENBERG_FUSEKI_PASSWORD=some-password\n\n\nUsage\n=====\n\nDownloading a text\n------------------\n\n.. sourcecode :: python\n\n    from gutenberg.acquire import load_etext\n    from gutenberg.cleanup import strip_headers\n\n    text = strip_headers(load_etext(2701)).strip()\n    print(text)  # prints 'MOBY DICK; OR THE WHALE\\n\\nBy Herman Melville ...'\n\n.. sourcecode :: sh\n\n    python -m gutenberg.acquire.text 2701 moby-raw.txt\n    python -m gutenberg.cleanup.strip_headers moby-raw.txt moby-clean.txt\n\n\nLooking up meta-data\n--------------------\n\nA bunch of meta-data about ebooks can be queried:\n\n.. sourcecode :: python\n\n    from gutenberg.query import get_etexts\n    from gutenberg.query import get_metadata\n\n    print(get_metadata('title', 2701))  # prints frozenset([u'Moby Dick; Or, The Whale'])\n    print(get_metadata('author', 2701)) # prints frozenset([u'Melville, Hermann'])\n\n    print(get_etexts('title', 'Moby Dick; Or, The Whale'))  # prints frozenset([2701, ...])\n    print(get_etexts('author', 'Melville, Hermann'))        # prints frozenset([2701, ...])\n\nYou can get a full list of the meta-data that can be queried by calling:\n\n.. sourcecode :: python\n\n    from gutenberg.query import list_supported_metadatas\n\n    print(list_supported_metadatas()) # prints (u'author', u'formaturi', u'language', ...)\n\nBefore you use one of the :code:`gutenberg.query` functions you must populate the\nlocal metadata cache. This one-off process will take quite a while to complete\n(18 hours on my machine) but once it is done, any subsequent calls to\n:code:`get_etexts` or :code:`get_metadata` will be *very* fast. If you fail to populate the\ncache, the calls will raise an exception.\n\nTo populate the cache:\n\n.. sourcecode :: python\n\n    from gutenberg.acquire import get_metadata_cache\n    cache = get_metadata_cache()\n    cache.populate()\n\n\nIf you need more fine-grained control over the cache (e.g. where it's stored or\nwhich backend is used), you can use the :code:`set_metadata_cache` function to switch\nout the backend of the cache before you populate it. For example, to use the\nSqlite cache backend instead of the default Sleepycat backend and store the\ncache at a custom location, you'd do the following:\n\n.. sourcecode :: python\n\n    from gutenberg.acquire import set_metadata_cache\n    from gutenberg.acquire.metadata import SqliteMetadataCache\n\n    cache = SqliteMetadataCache('/my/custom/location/cache.sqlite')\n    cache.populate()\n    set_metadata_cache(cache)\n\n\nLimitations\n===========\n\nThis project *deliberately* does not include any natural language processing\nfunctionality. Consuming and processing the text is the responsibility of the\nclient; this library merely focuses on offering a simple and easy to use\ninterface to the works in the Project Gutenberg corpus.  Any linguistic\nprocessing can easily be done client-side e.g. using the `TextBlob\n<http://textblob.readthedocs.org>`_ library.",
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