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        "author": "Douglas Treadwell",
        "author_email": "douglas.treadwell@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "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 :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy"
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        "description": "Marshmallow Factory\n===================\n\n\nInspired by [Voluptuous](https://github.com/alecthomas/voluptuous).\n\nIt's sometimes inconvenient to define named \n[Marshmallow](https://github.com/marshmallow-code/marshmallow)\nSchemas, especially when those schemas are deeply nested.\n\nExample:\n\n```\nclass InnerSchema(Schema):\n    inner_bool = Boolean()\n\n\nclass MiddleSchema(Schema):\n    middle_int = Integer()\n    middle_nested = Nested(InnerSchema)\n\n\nclass OuterSchema(Schema):\n    outer_str = String()\n    outer_nested = Nested(MiddleSchema)\n\n\nschema_instance = OuterSchema()\nschema_instance.validate(input_)\n```\n\nSo, this library provides a convenient syntax for defining\ndeeply nested Schemas.\n\n```\nfrom marshmallow_factory import schema\n\nOuterSchema = schema({\n    'outer_str': String(),\n    'outer_nested': Nested(schema({\n        'middle_int': Integer(),\n        'middle_nested': Nested(schema({\n            'inner_bool': Boolean()\n        }))\n    }))\n})\n\nschema_instance = OuterSchema()\nschema_instance.validate(input_)\n```\n\n\nSupport For Meta Options\n------------------------\n\nMeta options are supported using the following syntax:\n\n```\nclass Meta:\n    strict = True  # or your other options\n\nmy_schema = schema({\n    'Meta': Meta,\n    'str': String()\n})\n```\n\n\nAlternative Syntax\n------------------\n\nSchema factory arguments can also be supplied as keyword\narguments rather than a dictionary.\n\n```\nmy_schema = schema(Meta=Meta, str=String())\n```\n\nFor nested Schemas, plain dictionary literals can be provided\ninstead of Nested(schema({...}).\n\n```\nfrom marshmallow_factory import schema\n\nOuterSchema = schema({\n    'outer_str': String(),\n    'outer_nested': {\n        'middle_int': Integer(),\n        'middle_nested': {\n            'inner_bool': Boolean()\n        }\n    }\n})\n\nschema_instance = OuterSchema()\nschema_instance.validate(input_)\n```\n\n\n",
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        "keywords": "serialization,rest,json,api,marshal,marshalling,deserialization,validation,schema,model,models,modelling,object,objects",
        "license": "MIT",
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        "maintainer_email": "",
        "name": "marshmallow-factory",
        "package_url": "https://pypi.org/project/marshmallow-factory/",
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        "summary": "Convenient anonymous and nested schemas using dict literal syntax for Marshmallow.",
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