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        "author": "Aryeh Leib Taurog",
        "author_email": "python@aryehleib.com",
        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "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 :: 3.7",
            "Topic :: Database"
        ],
        "description": ".. home-start\n\npgcopy\n=======\n\n.. image:: https://travis-ci.org/altaurog/pgcopy.svg?branch=master\n    :target: https://travis-ci.org/altaurog/pgcopy\n\n.. image:: https://coveralls.io/repos/github/altaurog/pgcopy/badge.svg?branch=master\n    :target: https://coveralls.io/github/altaurog/pgcopy?branch=master\n\n.. image:: https://img.shields.io/pypi/l/pgcopy.svg\n    :target: https://pypi.org/project/pgcopy/\n\n.. image:: https://img.shields.io/pypi/wheel/pgcopy.svg\n    :target: https://pypi.org/project/pgcopy/\n\n.. image:: https://img.shields.io/pypi/pyversions/pgcopy.svg\n    :target: https://pypi.org/project/pgcopy/\n\nUse pgcopy_ for fast data loading into\nPostgreSQL with `binary copy`_.\n\n.. _binary copy: http://www.postgresql.org/docs/9.3/static/sql-copy.html\n.. _pgcopy: https://pgcopy.readthedocs.io/en/latest/\n\nFeatures\n---------\n* Support for many data types\n* Support for multi-dimensional array types\n* Support for schema and schema search path\n* Transparent string encoding\n* Utility for replacing entire table\n\nQuickstart\n-----------\n\n.. quickstart-start\n\n::\n\n    from datetime import datetime\n    from pgcopy import CopyManager\n    import psycopg2\n    cols = ('id', 'timestamp', 'location', 'temperature')\n    now = datetime.now()\n    records = [\n            (0, now, 'Jerusalem', 72.2),\n            (1, now, 'New York', 75.6),\n            (2, now, 'Moscow', 54.3),\n        ]\n    conn = psycopg2.connect(database='weather_db')\n    mgr = CopyManager(conn, 'measurements_table', cols)\n    mgr.copy(records)\n\n    # don't forget to commit!\n    conn.commit()\n\n.. home-end\n\nSupported datatypes\n-------------------\n\npgcopy supports the following PostgreSQL scalar types:\n\n* bool\n* smallint\n* integer\n* bigint\n* real\n* double precision\n* char\n* varchar\n* text\n* bytea\n* date\n* timestamp\n* timestamp with time zone\n* numeric\n* json\n* jsonb\n* uuid\n* arrays\n\nDocumentation\n--------------\n\n`Read the docs.`_\n\n.. _Read the docs.: pgcopy_\n\nSee Also\n--------\n\ncpgcopy_, a Cython implementation, about twice as fast.\n\n\n.. _binary copy: http://www.postgresql.org/docs/9.3/static/sql-copy.html\n.. _psycopg2: https://pypi.org/project/psycopg2/\n.. _pytz: https://pypi.org/project/pytz/\n.. _pytest: https://pypi.org/project/pytest/\n.. _cpgcopy: https://github.com/altaurog/cpgcopy\n.. _Tox: https://tox.readthedocs.io/en/latest/\n\n\n",
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