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    "info": {
        "author": "Andrzej Klajnert",
        "author_email": "py@aklajnert.pl",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Software Development :: Code Generators"
        ],
        "description": "# graphanno\n\nUse Python 3.6+ type annotations to generate the graphene `ObjectType` classes.  \n\n\n## Installation\n\nYou can install the project via `pip` by running:  \n```bash\npip install graphanno\n```\n\nInstallation from source:  \n```bash\npython setup.py install\n```\n\n## Usage\n\nThe `@graphanno.graph_annotations` decorator works only with classes that contains type \nannotations. If there are no type annotations within the decorator target, \n`NoAnnotationsError` exception is raised. Arguments without annotations will\nbe ignored.\n\nTo create the `graphene.ObjectType` object, you can just decorate your class with \n`@graphanno.graph_annotations`. \n\nIt is recommended to subclass `graphanno.ObjectType` to provide hints for IDE's. \nThis is not mandatory, the `@graphanno.graph_annotations` will replace your decorated class \nwith the `ObjectType` subclass anyway.\n\n```python\nimport graphene\nimport graphanno\n\n# the class below...\n@graphanno.graph_annotations\nclass Graphanno(graphanno.ObjectType):\n    value: str\n\n# ... is equivalent to:\nclass Graphene(graphene.ObjectType):\n    value = graphene.String()\n```\n\nIf you still need your class with type annotations, set `__model__` variable to annotated\nclass within the decorated one:\n\n```python\nimport graphene\nimport graphanno\n\nclass Annotated: # this class will be still available later\n    value: str\n\n# the class below...\n@graphanno.graph_annotations\nclass Graphanno(graphanno.ObjectType): \n    \"\"\"\n    This class can inherit from graphene.ObjectType already, \n    but it won't change the @graph_annotations behavior.\n    \"\"\"\n    __model__ = Annotated\n\n# ... is equivalent to:\nclass Graphene(graphene.ObjectType):\n    value = graphene.String()\n```\n\nIf another class with the same name will be decorated, the `SchemaClashError` exception\nwill be raised.\n\n### Additional parameters\n\n- `__excluded_fields__` (tuple): names of the fields that will be excluded from\nschema. Private attributes are always excluded.\n- `__ignore_unsupported__` (bool): do not raise an exception for unsupported annotations. \nDefault `False`.\n\n## Supported annotations\n\nThe class decorated with `@graph_annotations` can use type annotations listed below.\n\n - str\n - int\n - float\n - bool\n - datetime.datetime\n - datetime.date\n - datetime.time\n - typing.List\n - custom classes with supported type annotations\n\nUsing unsupported annotations will raise the `UnsupportedAnnotationError` exception. \nTo ignore this exception set `__ignore_unsupported__` to `True` in the decorated class.\n\n\n\n",
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        "keywords": "graphene graphql type_annotations annotations",
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        "name": "graphanno",
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        "summary": "Create graphene ObjectType based on the type annotations.",
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