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        "author": "Ben Lopatin",
        "author_email": "ben@wellfire.co",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "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 :: Implementation :: PyPy",
            "Topic :: Internet :: WWW/HTTP"
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        "description": "===========\nPy-Geocodio\n===========\n\n.. image:: https://badge.fury.io/py/pygeocodio.svg\n    :target: http://badge.fury.io/py/pygeocodio\n\n.. image:: https://travis-ci.org/bennylope/pygeocodio.svg?branch=master\n        :target: https://travis-ci.org/bennylope/pygeocodio\n\n.. image:: https://pypip.in/d/pygeocodio/badge.svg\n        :target: https://crate.io/packages/pygeocodio?version=latest\n\n\nPython wrapper for `Geocodio geocoding API <http://geocod.io/docs/>`_.\n\nFull documentation on `Read the Docs <http://pygeocodio.readthedocs.org/en/latest/>`_.\n\n**If you are upgrading from a version prior to 0.2.0 please see the changelog\nin HISTORY.rst. The default coordinate ordering has changed to something a bit\nmore sensible for most users.**\n\nGeocodio API Features\n=====================\n\n* Geocode an individual address\n* Batch geocode up to 10,000 addresses at a time\n* Parse an address into its identifiable components\n* Reverse geocode an individual geographic point\n* Batch reverse geocode up to 10,000 points at a time\n* Perform operations using the HIPAA API URL\n\nThe service is limited to U.S. and Canada addresses for the time being.\n\nRead the complete `Geocodio documentation <http://geocod.io/docs/>`_ for\nservice documentation.\n\nInstallation\n============\n\npygeocodio requires `requests` 1.0.0 or greater and will ensure requests is\ninstalled::\n\n    pip install pygeocodio\n\nBasic usage\n===========\n\nImport the API client and ensure you have a valid API key::\n\n    >>> from geocodio import GeocodioClient\n    >>> client = GeocodioClient(YOUR_API_KEY)\n\nGeocoding\n---------\n\nGeocoding an individual address::\n\n    >>> geocoded_location = client.geocode(\"42370 Bob Hope Drive, Rancho Mirage CA\")\n    >>> geocoded_location.coords\n    (33.738987255507, -116.40833849559)\n\nBatch geocoding\n---------------\n\nYou can also geocode a list of addresses::\n\n    >>> geocoded_addresses = client.geocode([\n            '2 15th St NW, Washington, DC 20024',\n            '3101 Patterson Ave, Richmond, VA, 23221'\n        ])\n\nReturn a list of just the coordinates for the resultant geocoded addresses::\n\n    >>> geocoded_addresses.coords\n    [(38.890083, -76.983822), (37.560446, -77.476008)]\n    >>> geocoded_addresses[0].coords\n    (38.890083, -76.983822), (37.560446, -77.476008)\n\nLookup an address by the queried address::\n\n    >>> geocoded_addresses.get('2 15th St NW, Washington, DC 20024').coords\n    (38.879138, -76.981879))\n\nAddress parsing\n---------------\n\nAnd if you just want to parse an individual address into its components::\n\n  >>> client.parse('1600 Pennsylvania Ave, Washington DC')\n    {\n        \"address_components\": {\n            \"number\": \"1600\",\n            \"street\": \"Pennsylvania\",\n            \"suffix\": \"Ave\",\n            \"city\": \"Washington\",\n            \"state\": \"DC\"\n        },\n        \"formatted_address\": \"1600 Pennsylvania Ave, Washington DC\"\n    }\n\nReverse geocoding\n-----------------\n\nReverse geocode a point to find a matching address::\n\n    >>> location = client.reverse((33.738987, -116.4083))\n    >>> location.formatted_address\n    \"42370 Bob Hope Dr, Rancho Mirage CA, 92270\"\n\nBatch reverse geocoding\n-----------------------\n\nAnd multiple points at a time::\n\n    >>> locations = client.reverse([\n            (33.738987, -116.4083),\n            (33.738987, -116.4083),\n            (38.890083, -76.983822)\n        ])\n\nReturn the list of formatted addresses::\n\n    >>> locations.formatted_addresses\n    [\"42370 Bob Hope Dr, Rancho Mirage CA, 92270\",  \"42370 Bob Hope Dr, Rancho Mirage CA, 92270\", \"2 15th St NW, Washington, DC 20024\"]\n\nAccess a specific address by the queried point tuple::\n\n    >>> locations.get(\"38.890083,-76.983822\").formatted_address\n    \"2 15th St NW, Washington, DC 20024\"\n\nOr by the more natural key of the queried point tuple::\n\n    >>> locations.get((38.890083, -76.983822)).formatted_address\n    \"2 15th St NW, Washington, DC 20024\"\n\nCLI usage\n=========\n\nIn the works!\n\nDocumentation\n=============\n\nFor complete documentation see `the docs\n<http://pygeocodio.readthedocs.org/en/latest/>`_.\n\nLicense\n=======\n\nBSD License\n\n\n\n\nHistory\n-------\n\n0.11.0 (2019-10-19)\n+++++++++++++++++++\n\n* Search by address components (thanks Unix-Code!)\n\n0.10.0 (2019-02-05)\n+++++++++++++++++++\n\n* Replaced http with https in clinet (thanks shea-parkes!)\n\n0.9.0 (2019-01-15)\n++++++++++++++++++\n\n* Updates to use Geocodio API v 1.3 by default (thanks joshgeller!)\n* The API version is now configurable for backwards and forward compatibility\n\n\n0.8.0 (2018-12-30)\n++++++++++++++++++\n\n* Adds new US Census fields (thanks pedromachados!)\n\n0.7.0 (2018-03-29)\n++++++++++++++++++\n\n* Added support for new Congressional districts for 2018 election (thanks nickcatal!)\n\n0.6.0 (2018-02-16)\n++++++++++++++++++\n\n* Upgrade to Geocodio API version 1.2 (thanks MiniCodeMonkey!)\n* Update allowed fields\n* Update docs that Canada now included (thanks Goorzhel!)\n* Miscellaneous fixes (thanks snake-plissken!)\n\n0.5.0 (2016-05-16)\n++++++++++++++++++\n\n* Add additional allowed fields (census, cd114)\n\n0.4.2 (2015-02-17)\n++++++++++++++++++\n\n* Bug fix the last bug fix\n\n0.4.1 (2015-02-17)\n++++++++++++++++++\n\n* Bug fix to flatten 'fields' argument as a single query key\n\n0.4.0 (2014-09-28)\n++++++++++++++++++\n\n* Bug fix for batch reverse geocoding\n* Removes request handling from client methods\n\n0.3.0 (2014-03-24)\n++++++++++++++++++\n\n* Adds support for additional data fields (e.g. 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Shouldn't have any functional effect on Python\n  3.3 usage except for matching module paths of pygeocodio objects.\n\n0.2.0 (2014-02-07)\n++++++++++++++++++\n\n* Added initial reverse geocoding functionality\n* Swaps default coordinates order. This is a mostly backwards incompatible\n  change to amend a silly design decision.\n\n0.1.4 (2014-01-25)\n++++++++++++++++++\n\n* Handle error in which Geoco.io has returned empty result set\n\n0.1.3 (2014-01-25)\n++++++++++++++++++\n\n* Packaging fix, thanks to @kyen99\n\n0.1.2 (2014-01-23)\n++++++++++++++++++\n\n* Moves and enhances fixture data to JSON data based on linted server responses\n* Adds Geocodio named errors\n* Better handling of errors in individual locations from batch requests\n\n0.1.1 (2014-01-22)\n++++++++++++++++++\n\n* Adds requests to install_requires in setup.py and drops minimum version to 1.0.0\n\n0.1.0 (2014-01-21)\n++++++++++++++++++\n\n* First release on PyPI.\n\n\n",
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