{
    "info": {
        "author": "David Townshend",
        "author_email": "aquavitae69@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Natural Language :: English",
            "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",
            "Topic :: Database",
            "Topic :: Database :: Database Engines/Servers",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "Norman\n======\n\nNorman provides a framework for creating complex data structures using\nan database-like approach.  The range of potential application is wide,\nfor example in-memory databases, multi-keyed dictionaries or node graphs.\nThese applications are illustrated in the following examples.\n\nDatabase\n--------\n\nThis is a small database for a personal library::\n\n    db = Database()\n\n    @db.add\n    class Book(Table):\n        name = Field(unique=True)\n        author = Field(index=True)\n\n        def validate(self):\n            assert isinstance(self.name, str)\n            assert isinstance(self.author, Author)\n\n    @db.add\n    class Author(Table):\n        surname = Field(unique=True)\n        initials = Field(unique=True, default='')\n        nationality = Field()\n        books = Join(Book.author)\n\n\nMulti-keyed Dictionary\n----------------------\n\nThis table can be used as a dictionary with three keys::\n\n    class MultiDict(Table):\n        key1 = Field(unique=True)\n        key2 = Field(unique=True)\n        key3 = Field(unique=True)\n        value = Field()\n\nValues can be added by::\n\n    MultiDict(key1=4, key2='abc', key3=0, value='efg')\n\nAnd queried by::\n\n    for m in (MultiDict.key1 == 4 & Multidict.key2 == 'abc'):\n        print(m.value)\n\n\nNode Graph\n----------\n\nThis is a graph, where each node can have many parent nodes and many\nchildren nodes::\n\n    class Link(Table):\n        \"\"\"\n        Directional connections between nodes.\n        \"\"\"\n        parent = Field(unique=True)\n        child = Field(unique=True)\n\n        def validate(self):\n            assert isinstance(self.parent, Node)\n            assert isinstance(self.child, Node)\n\n\n    class Node(Table):\n        \"\"\"\n        Nodes in the graph.\n        \"\"\"\n        parents = Join(query=lambda n: (Link.child == n).field('parent'))\n        children = Join(query=lambda n: (Link.parent == n).field('child'))\n\n        def validate_delete(self):\n            # Delete all connecting links if a node is deleted\n            (Link.parent == self).delete()\n            (Link.child == self).delete()\n",
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        "keywords": null,
        "license": "UNKNOWN",
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        "name": "norman",
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        "summary": "Norman is a framework for advanced data structures in python using\nan database-like approach.  The range of potential applications is wide,\nfor example in-memory databases, multi-keyed dictionaries or node graphs.",
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