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        "description": "Instruct\n==========\n\nA compact, fast object system that can serve as the basis for a DAO model.\n\nTo that end, instruct uses ``__slots__`` to prevent new attribute addition, properties to control types, event listeners and historical changes, and a Jinja2-driven codegen to keep a pure-Python implementation as fast and as light as possible.\n\n\nAttempt to serve multiple masters:\n\n    - Support multiple inheritance, chained fields and ``__slots__`` [Done]\n    - Support type coercions (via ``_coerce__``) [Done]\n    - Strictly-typed ability to define fixed data objects [Done]\n    - Ability to drop all of the above type checks [Done]\n    - Track changes made to the object as well as reset [Done]\n    - Fast ``__iter__`` [Done]\n    - Native support of pickle [Done]/json [Partial]\n    - Support List[type] declarations and initializations\n    - ``CStruct``-Base class that operates on an ``_cvalue`` cffi struct.\n    - Cython compatibility\n\n\nDesign Goal\n-------------\n\nThis comes out of my experience of doing multiple object systems mean to represent database relations and business rules. One thing that has proven an issue is the requirements for using as little memory as possible, as little CPU as possible yet prevent the developer from trying to stick a string where a integer belongs.\n\nFurther complicating this model is that desire to \"correct\" data as it comes in. Done correctly, it is possible to feed an ``instruct.Base``-derived class fields that are not of the correct data type but are eligible for being coerced (converted) into the right type with a function. With some work, it'll be possible to inline a ``lambda val: ...`` expression directly into the setter function code.\n\nFinally, multiple inheritance is a must. Sooner or later, you end up making a single source implementation for a common behavior shared between objects. Being able to share business logic between related implementations is a wonderful thing.\n\n\nWouldn't it be nice to define a heirachy like this:\n\n.. code-block:: python\n\n    class Member(Base):\n        __slots__ = {\n            'first_name': str,\n            'last_name': str,\n            'id': str,\n        }\n        def __init__(self, **kwargs):\n            self.first_name = self.last_name = ''\n            self.id = -1\n            super().__init__(**kwargs)\n\n    class Organization(Base, history=True):\n        __slots__ = {\n            'name': str,\n            'id': int,\n            'members': List[Member],\n            'created_date': datetime.datetime,\n        }\n\n        __coerce__ = {\n            'created_date': (str, lambda obj: datetime.datetime.strptime('%Y-%m-%d', obj))\n        }\n\n        def __init__(self, **kwargs):\n            self.name = ''\n            self.id = -1\n            self.members = []\n            self.created_date = datetime.datetime.utcnow()\n            super().__init__(**kwargs)\n\nAnd have it work like this?\n\n.. code-block:: python\n\n    data = {\n        \"name\": \"An Org\",\n        \"id\": 123,\n        \"members\": [\n            {\n                \"id\": 551,\n                \"first_name\": \"Jinja\",\n                \"last_name\": \"Ninja\",\n            }\n        ]\n    }\n    org = Organization(**data)\n    assert org.members[0].first_name == 'Jinja'\n    org.name = \"New Name\"\n    org.history()\n\n\nDesign\n----------\n\nSolving the multiple-inheritance and ``__slots__`` problem\n***************************************************************\n\nConsider the following graph::\n\n    Base1    Base2\n         \\  /\n       Class A\n\nIf both defined ``__slots__ = ()``, Class A would be able to declare ``__slots__`` to hold variables. For now on, we shall consider both Base's to have ``__slots__ = ()`` for simplicity.\n\nHowever, consider this case::\n\n    Base1    Base2\n         \\  /\n       Class A     Class B\n              \\    /\n              Class C\n\nNow this isn't possible if Class A has non-empty ``__slots__``.\n\nBut what if we could change the rules. What if, somehow, when you ``__new__`` ed a class, it really gave you a specialized form of the class with non-empty ``__slots__``?\n\nSuch a graph may look like this::\n\n    Base1    Base2\n         \\  /\n       Class A     Class B\n          |  \\    /     |\n    Class _A  Class C  Class _B\n                |\n              Class _C\n\nNow it is possible for any valid multiple-inheritance chain to proceed, provided it respects the above constraints - there are either support classes or data classes (denoted with an underscore in front of their class name). Support classes may be inherited from, data classes cannot.\n\nSolving the Slowness issue\n*****************************\n\nI've noticed that there are constant patterns of writing setters/getters and other related functions. Using Jinja2, we can rely on unhygenic macros while preserving some semblance of approachability. It's more likely a less experienced developer could handle blocks of Jinja-fied Python than AST synthesis/traversal.\n\nCallgraph Performance\n-----------------------\n\n.. class:: no-web\n\n    .. image:: https://raw.githubusercontent.com/benjolitz/Instruct/master/callgraph.png\n        :alt: Callgraph of project\n        :width: 100%\n        :align: center\n\n\n.. class:: no-web no-pdf\n\nBenchmark\n--------------\n\nBefore additions of coercion, event-listeners, multiple-inheritance\n\n::\n\n    $ python -m instruct benchmark\n    Overhead of allocation, one field, safeties on: 6.52us\n    Overhead of allocation, one field, safeties off: 6.13us\n    Overhead of setting a field:\n    Test with safeties: 0.40 us\n    Test without safeties: 0.22 us\n    Overhead of clearing/setting\n    Test with safeties: 1.34 us\n    Test without safeties: 1.25 us\n\nAfter additions of those. 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