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    "info": {
        "author": "Sean Whalen",
        "author_email": "whalenster@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Legal Industry",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
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        "description": "===========\npydol\n===========\n\npydol provides a pythonic interface to the `U.S. Department of Labor API`_.\nIt can be used to fetch official unemployment numbers and other interesting \ndata.\n::\n\n    from pydol import DOLAPI\n\n    # Create an instance of the API\n    DOL = DOLAPI(\"d9c6c290-da4c-424e-a378-fb4bd027b58b\",\n                 \"mysecret11111111111\")\n\n    # Get dataset metadata as a dictionary structure\n    # Multi-part dataset names are separated by a /\n    BLS = DOL.metadata(\"statistics/BLS_Numbers\")\n\n    # Get table data as a list of dictionaries\n    UNEMPLOYMENT = DOL.table(\"statistics/BLS_Numbers\", \"unemploymentRate\")\n\n    # Detailed examples at docs/examples.rst\n\nIt is well documented, easy-to-use, `PEP 8`_ compliant, and unit tested. \n\n\nDependencies\n============\n\n* Python_ >= 2.6\n\n* requests_\n\n* xmltodict_\n\n\nObtaining API credentials\n=========================\n\nValid API credentials are required to request data from tables. To obtain credentials:\n\n1) `Create a DOL developer account`_  and log in\n2) `Create a new token/key`_\n    You must provide:\n\n    * A random shared secret::\n\n        >>> import os\n        >>> import binascii\n        >>> binascii.hexlify(os.urandom(32))\n        'daae7948824525c1b8b59f9d5a75e9c0404e46259c7b1e17a4654a7e73c91b87'\n\n    * An application name\n    * An application description\n\n4) The token/key will be generated after the submission of the form\n\n**Note**: The words token and key are used interchangeably\n\n\nThis project is not affiliated with or endorsed by the `U.S. Department of Labor`_.\n\n\n.. _U.S. Department of Labor API: http://developer.dol.gov/\n.. _PEP 8: http://www.python.org/dev/peps/pep-0008/\n.. _Python: http://www.python.org/download/\n.. _requests: http://docs.python-requests.org/en/latest/index.html\n.. _xmltodict: https://github.com/martinblech/xmltodict\n.. _Create a DOL developer account: https://devtools.dol.gov/developer/Account/Register\n.. _Create a new token/key: https://devtools.dol.gov/developer/Tokens/Create\n.. _U.S. Department of Labor: http://www.dol.gov",
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        "keywords": "DoL USDoL BLS statistics API",
        "license": "Apache 2.0",
        "maintainer": "",
        "maintainer_email": "",
        "name": "pydol",
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        "summary": "A pythonic interface to the U.S. Department of Labor API",
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