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        "author": "Preston Holmes",
        "author_email": "preston@ptone.com",
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            "Development Status :: 3 - Alpha",
            "Environment :: Web Environment",
            "Framework :: Django",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Topic :: Utilities"
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        "description": "django-predicate\n================\n\ndjango-predicate provides a Q like object to facilitate the question: \"would\nthis model instance be part of a query\" but without running the query or even\nsaving the object.\n\nQuickstart\n----------\n\nInstall django-predicate:\n\n.. code-block:: console\n\n    pip install django-predicate\n\nThen use the ``P`` object just as you would ``Q`` objects:\n\n.. code-block:: python\n\n    from predicate import P\n\n    p = P(some_field__startswith=\"hello\", age__gt=20)\n\nYou can then call the ``eval`` method with a model instance to check whether it\npasses the conditions:\n\n.. code-block:: python\n\n    model_instance = MyModel(some_field=\"hello there\", age=21)\n    other_model_instance = MyModel(some_field=\"hello there\", age=10)\n    p.eval(model_instance)\n    >>> True\n    p.eval(other_model_instance)\n    >>> False\n\nor you can use Python's ``in`` operator.\n\n.. code-block:: python\n\n    model_instance in p\n    >>> True\n\nEven though a predicate is not a true container class - it can be used as (and\nwas designed as being) a virtual \"set\" of objects that meets some condiiton.\n\nLike Q objects, P objects can be ``&``'ed  and ``|``'ed together to form more\ncomplex logic groupings.\n\nIn fact, P objects are actually a subclass of Q objects, so you can use them in\nqueryset filter statements:\n\n.. code-block:: python\n\n    qs = MyModel.objects.filter(p)\n\n\nP objects also support ``QuerySet``-like filtering operations that can be\napplied to an arbitrary iterable: ``P.get(iterable)``, ``P.filter(iterable)``,\nand ``P.exclude(iterable)``:\n\n.. code-block:: python\n\n    model_instance = MyModel(some_field=\"hello there\", age=21)\n    other_model_instance = MyModel(some_field=\"hello there\", age=10)\n    p.filter([model_instance, other_model_instance]) == [model_instance]\n    >>> True\n    p.get([model_instance, other_model_instance]) == model_instance\n    >>> True\n    p.exclude([model_instance, other_model_instance]) == [other_model_instance]\n    >>> True\n\n\nIf you have a situation where you want to use querysets and predicates based on\nthe same conditions, it is far better to start with the predicate. Because of\nthe way querysets assume a SQL context, it is non-trivial to reverse engineer\nthem back into a predicate. However as seen above, it is very straightforward\nto create a queryset based on a predicate.",
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