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        "author": "Armon Dadgar",
        "author_email": "biz@kiip.me",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Topic :: Database",
            "Topic :: Internet",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "bloom-python-driver\n=========\n\nPybloom provides a Python client library to interface with\nbloomd servers. The library supports multiple bloomd servers,\nand automatically handles filter discovery and sharding.\n\nFeatures\n--------\n\n\n* Provides a simple API for using bloomd\n* Allows for using multiple bloomd servers\n   - Auto-discovers filter locations\n   - Balance the creation of new filters\n   - Explicitly name the location to make filters\n* Command pipelining to reduce latency\n\n\nInstall\n-------\n\nDownload and install from source:\n\n    python setup.py install\n\nExample\n------\n\nUsing pybloom is very simple, and is similar to using native sets::\n\n    from pybloom import BloomdClient\n\n    # Create a client to a local bloomd server, default port\n    client = BloomdClient([\"localhost\"])\n\n    # Get or create the foobar filter\n    foobar = client.create_filter(\"foobar\")\n\n    # Set a property and check it exists\n    foobar.add(\"Test Key!\")\n    assert \"Test Key!\" in foobar\n\nTo support multiple servers, just add multiple servers::\n\n    from pybloom import BloomdClient\n\n    # Create a client to a multiple bloomd servers, default ports\n    client = BloomdClient([\"bloomd1\", \"bloomd2\"])\n\n    # Create 4 filters, should be on different machines\n    for x in xrange(4):\n        client.create_filter(\"test%d\" % x)\n\n    # Show which servers the filters are on by\n    # specifying the inc_server flag\n    print client.list_filters(inc_server=True)\n\n    # Use the filters\n    client[\"test0\"].add(\"Hi there!\")\n    client[\"test1\"].add(\"ZING!\")\n    client[\"test2\"].add(\"Chuck Testa!\")\n    client[\"test3\"].add(\"Not cool, bro.\")\n\n\nUsing pipelining is straightforward as well::\n\n    from pybloom import BloomdClient\n\n    # Create a client to a local bloomd server, default port\n    client = BloomdClient([\"localhost\"])\n\n    # Get or create the foobar filter\n    pipe = client.create_filter(\"pipe\").pipeline()\n\n    # Chain multiple add commands\n    results = pipe.add(\"foo\").add(\"bar\").add(\"baz\").execute()\n    assert results[0]\n    assert results[1]\n    assert results[2]",
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        "keywords": "bloom,filter,client,bloomd",
        "license": "MIT License",
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        "maintainer_email": null,
        "name": "pybloomd",
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        "summary": "Client library to interface with multiple bloomd servers",
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