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    "info": {
        "author": "b3j0f",
        "author_email": "ib3j0f@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: French",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.0",
            "Programming Language :: Python :: 3.1",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development",
            "Topic :: Utilities"
        ],
        "description": "Description\n-----------\n\nPython schema library agnostic from languages.\n\n.. image:: https://img.shields.io/pypi/l/b3j0f.schema.svg\n   :target: https://pypi.python.org/pypi/b3j0f.schema/\n   :alt: License\n\n.. image:: https://img.shields.io/pypi/status/b3j0f.schema.svg\n   :target: https://pypi.python.org/pypi/b3j0f.schema/\n   :alt: Development Status\n\n.. image:: https://img.shields.io/pypi/v/b3j0f.schema.svg\n   :target: https://pypi.python.org/pypi/b3j0f.schema/\n   :alt: Latest release\n\n.. image:: https://img.shields.io/pypi/pyversions/b3j0f.schema.svg\n   :target: https://pypi.python.org/pypi/b3j0f.schema/\n   :alt: Supported Python versions\n\n.. image:: https://img.shields.io/pypi/implementation/b3j0f.schema.svg\n   :target: https://pypi.python.org/pypi/b3j0f.schema/\n   :alt: Supported Python implementations\n\n.. image:: https://img.shields.io/pypi/wheel/b3j0f.schema.svg\n   :target: https://travis-ci.org/b3j0f/schema\n   :alt: Download format\n\n.. image:: https://travis-ci.org/b3j0f/schema.svg?branch=master\n   :target: https://travis-ci.org/b3j0f/schema\n   :alt: Build status\n\n.. image:: https://coveralls.io/repos/b3j0f/schema/badge.png\n   :target: https://coveralls.io/r/b3j0f/schema\n   :alt: Code test coverage\n\n.. image:: https://img.shields.io/pypi/dm/b3j0f.schema.svg\n   :target: https://pypi.python.org/pypi/b3j0f.schema/\n   :alt: Downloads\n\n.. image:: https://readthedocs.org/projects/b3j0fschema/badge/?version=master\n   :target: https://readthedocs.org/projects/b3j0fschema/?badge=master\n   :alt: Documentation Status\n\n.. image:: https://landscape.io/github/b3j0f/schema/master/landscape.svg?style=flat\n   :target: https://landscape.io/github/b3j0f/schema/master\n   :alt: Code Health\n\nLinks\n-----\n\n- `Homepage`_\n- `PyPI`_\n- `Documentation`_\n\nInstallation\n------------\n\npip install b3j0f.schema\n\nFeatures\n--------\n\nThis library provides an abstraction layer for manipulating schema from several languages.\n\nThe abstraction layer is a python object which can validate data (properties to validate are object attributes or dictionary items) and be dumped into a dictionary or specific language format.\n\nSupported languages are:\n\n- python\n- json\n- xsd\n\nIt is also possible to generate a schema from a dictionary. And validation rules are fully and easily customisable thanks to using a schema such as a property.\n\nExample\n-------\n\nData Validation\n~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n   from b3j0f.schema import build, validate\n\n   # json format with required subinteger property\n   resource = '{\"title\": \"test\", \"properties\": {\"subname\": {\"type\": \"string\", \"default\": \"test\"}}, {\"subinteger\": {\"type\": \"integer\"}}, \"required\": [\"subinteger\"]}'\n   Test = build(resource)\n\n   test = Test(subname='example')\n\n   assert test.subinteger == 0  # instanciation value\n   assert Test.subinteger.default == 0  # default value\n   assert test.subname == 'example' # instanciation value\n   assert Test.subname.default == 'test'  # instanciation value\n\n   error = None\n   try:\n      test.subname = 2  # wrong setting because subname is not a string\n\n   except TypeError as error:\n      pass\n\n   assert error is not None\n\n   assert 'subname' in Test.getschemas()\n\n   validate(Test.subinteger, 1)  # validate property\n   validate(test, {'subinteger': 1})  # validate dictionary\n\n   class Sub(object):  # object to validate with required subinteger\n      subinteger = 1\n\n   validate(test, Sub)  # validate an object with required subinteger\n   validate(test, Sub())\n\n   wrongvalues = [\n      '',  # object without subinteger\n      {'subinteger': ''},  # wrong data type for subinteger\n      {}  # dictionary without the required property subinteger\n   ]\n\n   for wrongvalue in wrongvalues:\n\n      error = None\n      try:\n         validate(test, wrongvalues)\n\n      except TypeError as error:\n         pass\n\n      assert error is not None\n\nSchema retrieving\n~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n   from b3j0f.schema import register, getbyname, getbyuuid, data2schema\n\n   assert getbyuuid(test.uuid) is None\n   assert test not in getbyname(test.name)\n\n   register(test)\n\n   assert test is getbyuuid(test.uuid)\n\n   assert test in getbyname(test.name)\n\n   schema = data2schema(2, name='vint')  # get an integer schema with 2 such as a default value and name vint\n\n   assert schema.default == 2\n   assert schema.name == 'vint'\n\n   error = None\n   try:\n      schema.default = ''\n\n   except TypeError as error:\n      pass\n\n   assert error is not None\n\nSchema definition\n~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n   from b3j0f.schema import Schema, updatecontent\n\n   @updatecontent  # change public attributes/functionss to schemas\n   class Test(Schema):\n\n      subname = 'test'  # specify inner schema such as a string schema with default value 'test'\n      subinteger = 1  # speciy inner schema sub as an integer with default value 1\n\n   test = Test()\n\n   test = Test(subname='example')\n\n   assert test.subname == 'example' # instanciation value\n   assert Test.subname.default == 'test'  # instanciation value\n   assert test.subinteger == 1  # instanciation value\n   assert Test.subinteger.default == 1  # default value\n\n   error = None\n   try:\n      test.subname = 2  # wrong setting because subname is not a string\n\n   except TypeError as error:\n      pass\n\n   assert error is not None\n\n   assert 'subname' in Test.getschemas()\n\nComplex Schema definition\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n   from b3j0f.schema import Schema, ThisSchema, RefSchema, build\n   from random import random\n\n   @build(foo=2)  # transform a python class to a schema class with the additional property foo\n   class Test(object):\n\n      key = DynamicValue(lambda: random())  # generate a new key at each instanciation\n      subtest = ThisSchema(key=3.)  # use this schema such as inner schema\n      ref = RefSchema()  # ref is validated by this schema\n\n   assert issubclass(Test, Schema)\n\n   test1, test2 = Test(), Test()\n\n   # check foo\n   assert test1.foo == test2.foo == 2\n\n   # check key and subtest properties\n   assert test1.key != test2.key\n   assert test1.subtest.key == test2.subtest.key == 3.\n\n   # check ref\n   assert test1.ref is None\n   test1.ref = Test()\n\n   error = None\n   try:\n      test.ref = 2\n\n   except TypeError as error:\n      pass\n\n   assert error is not None\n\nFunction schema definition\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n   from b3j0f.schema import FunctionSchema, ParamSchema, FloatSchema, BooleanSchema, StringSchema, ArraySchema, OneOfSchema\n\n   @data2schema\n   def test(a, b, c=2, d=None, e=None, f=None):  # definition of a shema function. Parameter values and (function) types are defined in the signature and the docstring.\n      \"\"\"\n      :param float a: default 0.\n      :type b: bool\n      :type d: ints  # list of int\n      :type e: list of str  #: list of str\n      :type f: int,float  #: one of (int, float)\n      :rtype: str\n      \"\"\"\n\n      return a, b, c\n\n   assert isinstance(test, FunctionSchema)\n   assert isinstance(test.params, ArraySchema)\n   assert isinstance(test.params[0], ParamSchema)\n   assert len(test.params) == 6\n\n   assert test.params[0].name == 'a'\n   assert test.params[0].mandatory == True\n   assert isinstance(test.params[0].ref, FloatSchema)\n   assert test.params[0].default is 0.\n\n   assert test.params[1].name == 'b'\n   assert isinstance(test.params[1].ref, BooleanSchema)\n   assert test.params[1].mandatory is True\n   assert test.params[1].default is False\n\n   assert test.params[2].name == 'c'\n   assert isinstance(test.params[2].ref, IntegerSchema)\n   assert test.params[2].mandatory is False\n   assert test.params[2].default is 2\n\n   assert test.params[3].name == 'd'\n   assert isinstance(test.params[3].ref, ArraySchema)\n   assert isinstance(test.params[3].ref.itemtype, IntegerSchema)\n   assert test.params[3].mandatory is False\n   assert test.params[3].default is None\n\n   assert test.params[4].name == 'e'\n   assert isinstance(test.params[4].ref, ArraySchema)\n   assert isinstance(test.params[4].ref.itemtype, StringSchema)\n   assert test.params[4].mandatory is False\n   assert test.params[4].default is None\n\n   assert test.params[5].name == 'f'\n   assert isinstance(test.params[5].ref, OneOfSchema)\n   assert isinstance(test.params[5].ref.schemas[0], IntegerSchema)\n   assert isinstance(test.params[5].ref.schemas[1], FloatSchema)\n   assert test.params[5].mandatory is False\n   assert test.params[5].default is None\n\n   assert test.rtype is StringSchema\n\n   assert test(1, 2) == 'test'\n\nGenerate a schema from a data\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n   from b3j0f.schema import data2schema\n\n   data = {  # data is a dict\n      'a': 1\n   }\n\n   schemacls = dict2schemacls(data, name='test')\n\n   assert isinstance(schemacls.a, IntegerSchema)\n   assert schemacls.a.default is 1\n   assert isinstance(schemacls.name, StringSchema)\n   assert schemacls.name.default == 'test'\n\n   validate(schemacls(), data)\n\n   class Test(object):  # data is an object\n      a = 1\n\n   schemacls = dict2schemacls(data, name='test')\n\n   assert isinstance(schemacls.a, IntegerSchema)\n   assert schemacls.a.default is 1\n   assert isinstance(schemacls.name, StringSchema)\n   assert schemacls.name.default == 'test'\n\n   validate(schemacls(), Test)\n   validate(schemacls(), Test())\n\n\nSchema property getting/setting/deleting customisation such as a property\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n   class Test(Schema):\n\n      @Schema\n      def test(self):\n         self.op =  'get'\n         return getattr(self, '_test', 1)\n\n      @test.setter\n      def test(self, value):\n         self.op = 'set'\n         self._test = value\n\n      @test.deleter\n      def test(self):\n         self.op = 'del'\n         del self._test\n\n   test = Test()\n\n   # check getter\n   assert test.test == 1\n   assert test.op == 'get'\n\n   # check setter\n   test.test = 2\n   assert test.op == 'set'\n   assert test.test == 2\n\n   # check deleter\n   del test.test\n   assert test.op == 'del'\n   assert test.test == 1\n\nPerspectives\n------------\n\n- wait feedbacks during 6 months before passing it to a stable version.\n- Cython implementation.\n\nDonation\n--------\n\n.. image:: https://liberapay.com/assets/widgets/donate.svg\n   :target: https://liberapay.com/b3j0f/donate\n   :alt: I'm grateful for gifts, but don't have a specific funding goal.\n\n.. _Homepage: https://github.com/b3j0f/schema\n.. _Documentation: http://b3j0fschema.readthedocs.org/en/master/\n.. _PyPI: https://pypi.python.org/pypi/b3j0f.schema/\n",
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