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        "author": "Daniel Omar Vergara P\u00e9rez",
        "author_email": "daniel.omar.vergara@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy"
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        "description": "# Activejson\n\n[![PyPI version](https://badge.fury.io/py/activejson.svg)](https://badge.fury.io/py/activejson)\n[![CircleCI](https://circleci.com/gh/dany2691/activejson.svg?style=svg)](https://circleci.com/gh/dany2691/activejson)\n\n> A convenient library to deal with large json data\n\nA convenient library to deal with large json data. The purpose of this package is help to deal with complex json-like data, converting them into a more manageable data structure.\n\n## Installation\n\nOS X & Linux:\n\nFrom PYPI\n\n```sh\n$ pip3 install activejson\n```\n\nfrom the source\n\n```sh\n$ git clone https://github.com/dany2691/activejson.git\n$ cd activejson\n$ python3 setup.py install\n```\n\n## Usage example\n\nYou can flat a complex dict the next way:\n\n```python\ncomplex_json = {'cat': {'grass': 'feline', 'mud': 'you never know',\n                        'horse': 'my joke'},\n                'dolphin': [{'tiger': [{'bird': 'blue jay'},\n                                      {'fish': 'dolphin'}]},\n                            {'cat2': 'feline'}, {'dog2': 'canine'}],\n                'dog': 'canine'}\n```\n\n```python\nfrom activejson import flatten_json\n\nflatten_complex_json = flatten_json(complex_json)\n\nprint(flatten_complex_json)\n```\n\nThe result could be the next:\n\n```sh\n{'cat_grass': 'feline',\n 'cat_horse': 'my joke',\n 'cat_mud': 'you never know',\n 'dog': 'canine',\n 'dolphin_0_tiger_0_bird': 'blue jay',\n 'dolphin_0_tiger_1_fish': 'dolphin',\n 'dolphin_1_cat2': 'feline',\n 'dolphin_2_dog2': 'canine'}\n```\n\nOn the other hand, is possible to convert that dict into an object with dynamic attributes:\n\n```python\nfrom activejson import FrozenJSON\n\nfrozen_complex_json = FrozenJSON(complex_json)\n\nprint(frozen_complex_json.cat.grass)\nprint(frozen_complex_json.cat.mud)\nprint(frozen_b.dolphin[2].dog2)\n```\n\nThe result could be the next:\n\n```sh\n'feline'\n'you never know'\n'canine'\n```\n\nTo retrieve the underlying json, is possible to use the json property:\n\n```python\nfrozen_complex_json.json\n```\n\n```sh\n{'cat_grass': 'feline',\n 'cat_horse': 'my joke',\n 'cat_mud': 'you never know',\n 'dog': 'canine',\n 'dolphin_0_tiger_0_bird': 'blue jay',\n 'dolphin_0_tiger_1_fish': 'dolphin',\n 'dolphin_1_cat2': 'feline',\n 'dolphin_2_dog2': 'canine'}\n```\n\n# Development setup\n\nThis project uses _pipenv_ for dependecy resolution. It's a kind of mix between\npip and virtualenv. Follow the next instructions to setup the development enviroment.\n\n```sh\n$ git clone https://github.com/dany2691/activejson.git\n$ cd activejson\n$ pipenv shell\n$ pipenv install -e .\n```\n\nTo run the test-suite, inside the pybundler directory:\n\n```shell\n$ pytest test/ -vv\n```\n\n## Meta\n\nDaniel Omar Vergara P\u00e9rez \u2013 [@dan1_net](https://twitter.com/dan1_net) \u2013 daniel.omar.vergara@gmail.com\n\n[https://github.com/dany2691](https://github.com/dany2691)\n\n## Contributing\n\n1. Fork it (<https://github.com/dany2691/activejson>)\n2. Create your feature branch (`git checkout -b feature/fooBar`)\n3. Commit your changes (`git commit -am 'Add some fooBar'`)\n4. Push to the branch (`git push origin feature/fooBar`)\n5. Create a new Pull Request\n\n\n",
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