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    "info": {
        "author": "Michael Mulley",
        "author_email": "michael@michaelmulley.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Framework :: Django",
            "License :: OSI Approved :: BSD License",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.6",
            "Topic :: Database"
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        "description": "===============\nDjango dbarray\n===============\n\nDjango model fields that store lists of values, implemented using the PostgreSQL ``ARRAY`` type.\n\nRequirements\n============\n\n* PostgreSQL\n* psycopg2\n* Django >= 1.2\n \nThe ARRAY db type is PostgreSQL specific, so these model fields currently\nwork only on PostgreSQL with psycopg2.  A ``FieldError`` will be raised if the\nfield is used with another database.\n\nThis package has been tested with Django versions 1.2 through 1.6, inclusive.\n\nFields\n================\n\nThe field types defined in the ``dbarray`` module are listed in the table below,\nalong with each field's parent class (from ``django.db.models``), and the data\ntype of the postgresql column it will create.\n\nEach field takes the same arguments as its parent class.\n\n=================== =================== ================\nField Type          Parent Class        Postgresql Type\n------------------- ------------------- ----------------\nIntegerArrayField   IntegerField        integer[]\nFloatArrayField     FloatField          double precision[]\nTextArrayField      TextField           text[]\nCharArrayField      CharField           character varying[]\nDateArrayField      DateField           date[]\n=================== =================== ================\n\nCustom Fields\n==============\n\nTo define a new array field for a base field type ``FooField``::\n\n    import dbarray\n    \n    class FooArrayField(dbarray.ArrayFieldBase, FooField):\n        __metaclass__ = dbarray.ArrayFieldMetaclass\n        \nThis may or may not work depending on a few factors.  You might, for example, need\nto override the db_type method to make it put the ``[]`` in the right spot in the column\ntype used in generated SQL.\n\nAnother issue that may arise when performing lookups with array fields \nis that PostgreSQL may get the query parameter as a data type\nthat isn't compatible with the type of the db column (for example text[]\ninstead of varchar[]).  Then you will get an error like the following::\n\n    DatabaseError: operator does not exist: character varying[] = text[]\n    LINE 1: ... FROM \"dbarray_chars\" WHERE \"dbarray_chars\".\"arr\" = ARRAY['A...\n                                                                 ^\n    HINT:  No operator matches the given name and argument type(s). You might need to add explicit type casts.\n\nYou can rectify this by setting ``cast_lookups = True`` on your\n``ArrayFieldBase`` subclass, which instructs it to add an explicit type cast\nto the SQL query.\n\nLook in the source code for more examples of how to handle issues with new\nArrayField types.\n\n\nVersion History\n===============\n\nVersion 0.2\n--------------------------------\n:Released: October 17, 2013\n\nThe fields raise a FieldError exception if used on a database other than\nPostgreSQL.  (This was the original behavior)\n\nVersion 0.1\n--------------------------------\n:Released: October 16, 2013\n\nAdded tests and fixes for lookups and DateArrayField.\n\nVersion 0.0.1\n--------------------------------\n:Released: January 10, 2011\n\nInitial release",
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