{
    "info": {
        "author": "Micha\u0142 Kaczmarczyk",
        "author_email": "michal.s.kaczmarczyk@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development",
            "Topic :: Software Development :: Code Generators"
        ],
        "description": "renew\n=====\n\n| Semi-text-pickling in pure python.\n| If you meet just a few restrictions, you can store classes\n| state into a python file and import or evaluate it somewhere\n| else or later on. You can even use it as a database unless\n| the amount of data is huge.\n\n1 minute - example:\n~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    import renew \n\n    class ThatNiceClass(renew.Mold):\n        # manual implementation of __init__ is needed. Constructor_arguments\n        # have to be actual names of this class attributes\n        def __init__(self, f_a, f_b, *f_c, **f_d):\n            self.f_a, self.f_b, self.f_c, self.f_d = f_a, f_b, f_c, f_d\n\n    c = ThatNiceClass(1, 2, 3, 4, five=5, six=6)\n\n    assert repr(c) == \"ThatNiceClass(1, 2, 3, 4, five=5, six=6)\"\n    assert c == eval(repr(c))  # __eq__ implemented \n    assert repr(c) == repr(eval(repr(c)))  # pure reproduction, instance \"survives\" eval\n\n    class SecondClass(renew.Mold):\n        _cls_namespace = \"foo_pkg\"\n\n        def __init__(self, one, two=\"number two\", three=None):\n            self.one, self.two, self.three = one, two, three\n\n    s1 = SecondClass(1)\n    s2 = SecondClass(3.14159, \"non default\")\n    s3 = SecondClass(\"Lorem ipsum dolor sit amet, consectetur adipiscing elit\")\n    s4 = SecondClass(4, three=ThatNiceClass(1, 2, 3, 4, five=5, six=6))\n\n    d = ThatNiceClass(s1, s2, lorem=s3, im_nesting=s4)\n\n    assert repr(d) == \"\"\"\\\n    ThatNiceClass(\n        foo_pkg.SecondClass(1),\n        foo_pkg.SecondClass(3.14159, 'non default'),\n        im_nesting=foo_pkg.SecondClass(4, three=ThatNiceClass(1, 2, 3, 4, five=5, six=6)),\n        lorem=foo_pkg.SecondClass('Lorem ipsum dolor sit amet, consectetur adipiscing elit'),\n    )\"\"\"\n\nThe ``__repr__`` story - repr(object)\n-------------------------------------\n\n| Does ``repr`` stand for \"representation\" or \"reproduction\"?\n| According to python documentation ``__repr__`` functionality has two\n| separate approaches. From\n  https://docs.python.org/3/library/functions.html#repr (v 3.7.2)\n\n    | ``repr(object)`` Return a string containing a printable\n      representation of an object.\n    | For many types, this function makes an attempt to return a string\n    | that would yield an object with the same value when passed to\n      eval(),\n    | otherwise the representation is a string enclosed in angle\n      brackets\n    | that contains the name of the type of the object together with\n    | additional information often including the name and address of\n    | the object. A class can control what this function returns for\n    | its instances by defining a ``__repr__()`` method.\n\n1. reproducible repr:\n---------------------\n\n| For several native objects it returns a string that can be used\n| to reproduce given object, i.e. to create a copy of given object.\n\n.. code:: python\n\n    a = [1, 3.141559, None, \"string\"]\n    statement_str = repr(a)\n    assert statement_str == '[1, 3.141559, None, \"string\"]'\n\nYou may tell that repr of an object is ``reproducible`` if this is meet:\n\n.. code:: python\n\n    a = [1, 3.14159, None, \"string\"]\n    statement_str = repr(a)\n    assert repr(eval(statement_str)) == statement_str\n    # if the object implements __eq__ this should be also true:\n    assert eval(statement_str) == a\n\n2. descriptive repr:\n--------------------\n\n| Unfortunately python does not serve the \"reproducible repr\" out of the\n  box\n| for types defined by user:\n\n.. code:: python\n\n    class Car(object):\n        def __init__(self, body_type, engine_power):\n            self.body_type = body_type\n            self.engine_power = engine_power\n\n    car = Car(\"coupe\", 124.0)\n    # repr(car) == '<__main__.Car object at 0x7f0ff6313290>'\n    # but using renew:\n\n    import renew\n\n    class ReproducibleCar(renew.Mold):\n        _cls_namespace = \"bar\"\n        def __init__(self, body_type, engine_power):\n            self.body_type = body_type\n            self.engine_power = engine_power\n\n    car2 = ReproducibleCar(\"sedan\", 110.0)\n    assert repr(car2) == 'bar.ReproducibleCar(\"sedan\", 110.0)'\n\nThe method above is implemented as a decorator, but you can also use a\ninheritance to get the same result.\n\n.. code:: python\n\n    import renew\n\n    class Car(renew.Mold):\n        _cls_namespace = \"cars\"\n        _cls_dependency = \"that.things\"\n\n        def __init__(self, body_type, engine_power, fuel, seats, color=None):\n            self.body_type = body_type\n            self.engine_power = engine_power\n            self.fuel = fuel\n            self.seats = seats\n            self.color = color\n\n    class Driver(renew.Mold):\n        _cls_namespace = \"persons\"\n\n        def __init__(self, first_name, last_name, *cars):\n            self.first_name = first_name\n            self.last_name = last_name\n            self.cars = cars\n\n    car_1 = Car(\"Truck\", 120.0, \"diesel\", 2)\n    car_2 = Car(\"Van\", 145.0, \"diesel\", seats=7, color=\"silver\")\n    car_3 = Car(\"Roadster\", 210.0, \"gasoline\", seats=2)\n\n    driver_1 = Driver(\"Blenda\", \"Klapa\", car_1)\n    driver_2 = Driver(\"Trytka\", \"Blotnick\", car_2, car_3)\n\n    assert repr(driver_1) == \".Driver('Blenda', 'Klapa', cars.Car('Truck', 120.0, 'diesel', 2))\"\n    assert repr(driver_2) == \"\"\"\\\n    persons.Driver(\n        'Trytka',\n        'Blotnick',\n        cars.Car('Van', 145.0, 'diesel', 7, 'silver'),\n        cars.Car('Roadster', 210.0, 'gasoline', 2),\n    )\"\"\"\n\n    renew.serialize(\"/tmp/target.py\", blenda=driver_1, trytka=driver_2)\n\nThe created file looks like this:\n\n.. code:: python\n\n    #!/usr/bin/env python\n    # -*- coding: utf-8 -*-\n\n    # This file has been created with renew.\n    # A py-pickling tool: https://pypi.org/project/renew/\n\n    from living.things import persons\n    from that.things import cars\n\n    blenda = persons.Driver('Blenda', 'Klapa', cars.Car('Truck', 120.0, 'diesel', 2))\n\n    trytka = persons.Driver(\n        'Trytka',\n        'Blotnick',\n        cars.Car('Van', 145.0, 'diesel', 7, 'silver'),\n        cars.Car('Roadster', 210.0, 'gasoline', 2),\n    )\n\nHow it works?\n-------------\n\n| Note that ``ReproducibleCar`` does not explicitly implement the\n  ``__repr__``, but the ``renew.reproducible``\n| decorator supplements it (overrides it if any has been defined\n  before).\n| ``renew.reproduction`` inspects constructor's argument specification\n| of decorated class and yields a string that tries to be a call\n  statement composed of\n\n-  ``namespace``, e.g. your package name (according to desired importing\n   convention)\n-  given class name\n-  given class' attributes values, that have the same names and order as\n   constructor arguments\n\nThat forms the only one usage restriction:\n\n**The class has to store all the constructor arguments in its attributes\nwith the same\nname** (as in ``ReproducibleCar`` definition above).\n\n| Variadic args have to be stored in the instance either as ``list``,\n  ``tuple`` (no cast needed), ``set`` or ``OrderedDict``\n| (set is rendered with sorting). Keyword args have to be stored in the\n  instance as a ``dict`` or ``OrderedDict``.\n\n.. code:: python\n\n    from collections import OrderedDict\n    import renew\n\n    class ThatClass(renew.Mold):\n        def __init__(self, x=1, *others, **kw_args):\n            self.x = x\n            self.others = OrderedDict(others)\n            self.kw_args = kw_args\n\n    that = ThatClass(3.14159, (\"a\", \"A\"), (\"b\", \"B\"), one=1, two=2, many=666)\n\n    assert repr(that) == \"ThatClass(3.14159, many=666, one=1, two=2)\"\n    assert that.x == 3.14159\n    assert that.others == OrderedDict([(\"a\", \"A\"), (\"b\", \"B\")])\n    assert that.kw_args == dict(one=1, two=2, many=666)\n\n\nLimitations\n-----------\n\n-  keys of plain ``dict`` being \"complex\" objects get a bit ugly layout\n   if repr of given key spans multiple lines.\n-  | ``renew`` does not cross-reference objects while serializing.\n   | Although neither ``pickle`` nor ``marshal`` does cross-reference,\n     ``renew`` most probably could do it but it's\n   | hard to tell how to let renew know where and how a chain of objects\n     have to be cross-referenced.\n\n-  For ultra-capable meta programming ``MacroPy``:\n   https://pypi.org/project/MacroPy/ would be a better choice.\n\nFor full list of features and usage examples, please refer to unit\ntests, especially ``tests/test_renew.py``.\n\n\n",
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        "license": "MIT license",
        "maintainer": "Micha\u0142 Kaczmarczyk",
        "maintainer_email": "michal.s.kaczmarczyk@gmail.com",
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