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        "author": "Michael Penkov",
        "author_email": "misha.penkov@gmail.com",
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            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT 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 :: 3.4",
            "Programming Language :: Python :: 3.5"
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        "description": "=======\npygeons\n=======\n\n\n.. image:: https://img.shields.io/pypi/v/pygeons.svg\n        :target: https://pypi.python.org/pypi/pygeons\n\n.. image:: https://img.shields.io/travis/mpenkov/pygeons.svg\n        :target: https://travis-ci.org/mpenkov/pygeons\n\n.. image:: https://readthedocs.org/projects/pygeons/badge/?version=latest\n        :target: https://pygeons.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/mpenkov/pygeons/shield.svg\n     :target: https://pyup.io/repos/github/mpenkov/pygeons/\n     :alt: Updates\n\n\nGeographical queries made simple.\n\n* Free software: MIT license\n* Documentation: https://pygeons.readthedocs.io.\n\n>>> from pprint import pprint\n>>> import pygeons\n>>> # Scrub a (city, state, country) combination\n>>> scrubbed = pygeons.csc_scrub('sydney', 'nsw', 'au')\n>>> result = scrubbed.pop('result')\n>>> scrubbed\n{'score': 0.9, 'st_status': 'O', 'cc_status': 'O', 'count': 1}\n>>> pprint(result)\n{'_id': 2147714,\n 'abbr': [],\n 'admin1': 'State of New South Wales',\n 'admin1names': ['new south wales', 'nsw', 'state of new south wales'],\n 'admin2': '17200',\n 'admin2names': [],\n 'asciiname': 'Sydney',\n 'countryCode': 'AU',\n 'featureClass': 'P',\n 'featureCode': 'PPLA',\n 'latitude': -33.86785,\n 'longitude': 151.20732,\n 'name': 'Sydney',\n 'names': ['syd', 'sydney', 'sydney city'],\n 'names_lang': {'en': ['syd', 'sydney', 'sydney city']},\n 'population': 4627345}\n>>> pygeons.csc_scrub('sydney', 'nsw', None)['result']['_id']  # same GeoNames ID as above\n2147714\n>>> # Normalize a state abbreviation\n>>> pygeons.norm('admin1', 'AU', 'nsw')\n'State of New South Wales'\n>>> # Translate a country name in the native language into English\n>>> pygeons.country_info('\u0440\u043e\u0441\u0441\u0438\u044f')['names_lang']['en'][:4]\n['ru', 'rus', 'russia', 'russian federation']\n\nFeatures\n--------\n\n* Determine if a (city, state and country) combination corresponds to an existing place name\n* Scrub (city, state, country) combinations\n* Normalize city, state and country names to their canonical representations\n* Frame queries in English as well as languages native to each particular country\n\nCredits\n---------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n\n=======\nHistory\n=======\n\n0.1.1 (2017-12-03)\n------------------\n\n* First working release.  Includes import scripts and source code.\n\n0.1.0 (2017-11-26)\n------------------\n\n* First release on PyPI.\n",
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