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        "author": "Dmitry Krukov",
        "author_email": "glebov.ru@gmail.com",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "========\nReformer\n========\n\n.. image:: https://travis-ci.org/Krukov/reformer.svg?branch=master\n    :target: https://travis-ci.org/Krukov/reformer\n\nSimple and beautiful library for data formatting/convert/serialize\n------------------------------------------------------------------\n\n::\n\n    pip install reformer\n\n\nWhy\n---\nThere are many great python libraries for validation, serialization and data formatting search as marshmallow, DRF  etc.\nUsually they base on data validation.\n\nOtherwise reformer design only for data formatting, and in a schema you need to define type of transformation and data source.\n\nHow to use\n----------\nTo define schema you need to create Reformer base class::\n\n    from reformer import Reformer, Field, MapField, MethodField\n\n    class Schema(Reformer):\n        _fields_ = ('name', 'surname')\n        fullname = Field('name').replace('_', '-')  + ' ' + Field('surname')\n        admin = Field('username').at(['admin', 'root'])\n        welcome = MapField('username', {\n            'admin': 'Hi bro',\n            'root':  'God?'\n        })\n        posts_titles = Field('posts').iter(['title'])\n        status = ('http://api.com/get_user_status/' + Field('id', to=str)).handle(requests.get)\n\n\n    target = {\n        'id': 353,\n        'name': 'John',\n        'surname': 'Black',\n        'username': 'admin',\n        'posts': [\n            {'title': 'New', 'id': 10},\n            {'title': 'My first post', 'id': 11},\n        ]\n    }\n\n    print(Schema.transform(target))\n    # OrderedDict([\n    #    ('name', 'John'),\n    #    ('surname', 'Black'),\n    #    ('fullname', 'John Black'),\n    #    ('admin', True),\n    #    ('welcome', 'Hi bro'),\n    #    ('posts_titles', ['New', 'My first post']),\n    #    ('status', 'INIT'),\n    # ])\n\n\n*FUTURE*\n========\n - errors\n\n\n",
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        "license": "MIT",
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