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        "author": "Jo\u00e3o Sampaio",
        "author_email": "jpmelos@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
            "Environment :: Web Environment",
            "Framework :: Django",
            "Framework :: Django :: 1.10",
            "Framework :: Django :: 1.8",
            "Framework :: Django :: 1.9",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3 :: Only"
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        "description": "=======\ndjango-generic-models\n=======\n\n.. image:: https://travis-ci.org/jpmelos/django-generic-models.svg?branch=master\n    :target: https://travis-ci.org/jpmelos/django-generic-models\n\ndjango-generic-models provides subclassed models with a clearer API for fetching superclasses, subclasses and making comparison.\n\nSupports:\n\n* Python 3.4, 3.5 and 3.6.\n* Django 1.8, 1.9, 1.10, 1.11 and 2.0.\n\n------------\nInstallation\n------------\n\n::\n\n    $ pip install django-generic-models\n\n-----------\nBasic usage\n-----------\n\nDeclare the superclass as a subclass of ``TypedModel``::\n\n    from genericmodels.models import TypedModel\n\n    class Animal(TypedModel):\n        name = CharField(max_length=30)\n\n        def say_something(self):\n            raise NotImplementedError\n\n\nThen, declare the subclasses as usual::\n\n    from django.db.models import CharField\n\n    class Cat(Animal):\n        color = CharField(max_length=30)\n\n        def say_something(self):\n            return 'meow'\n\nYou'll be able to get the specific instance of ``Animal`` or the generic instance of ``Cat`` very easily with::\n\n    cat = Cat()\n    animal = cat.generic\n    cat = animal.specific\n\nComparison also works::\n\n    >>> print(cat == animal)\n    True\n\nEven though they are not the same object in memory, and one is a ``Cat`` instance and the other is an ``Animal`` instance, they are still the same object, semantically.\n\nFor an example of working code, check the ``test_app``.\n\n-----------\nDevelopment\n-----------\n\nInstall for development and with dependencies::\n\n    $ pip install -e .[dev]\n\nAsserting code quality\n^^^^^^^^^^^^^^^^^^^^^^\n\n::\n\n    $ python dev.py quality\n\n\nRunning the tests\n^^^^^^^^^^^^^^^^^\n\nTo run the tests, use::\n\n    $ python dev.py test\n\nTo run the tests with ``tox``::\n\n    $ tox\n\nPackaging for PyPI distribution\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n::\n\n    $ python dev.py package\n\nThe build will happen if the repository is clean: no untracked files are found. If not, you can see what's wrong with ``git clean -dfx --dry-run`` and remove or track and commit those files.\n\nBuilds will be available at ``dist``, in wheel and source.\n\n----------\nContribute\n----------\n\nPull requests are welcome.\n\n\n",
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