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    "info": {
        "author": "Kevin Wurster",
        "author_email": "wursterk@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries",
            "Topic :: Text Processing",
            "Topic :: Utilities"
        ],
        "description": "===========\nNewlineJSON\n===========\n\nStreaming newline delimited JSON I/O.\n\n.. image:: https://travis-ci.org/geowurster/NewlineJSON.svg?branch=master\n    :target: https://travis-ci.org/geowurster/NewlineJSON?branch=master\n\n.. image:: https://coveralls.io/repos/geowurster/NewlineJSON/badge.svg?branch=master\n    :target: https://coveralls.io/r/geowurster/NewlineJSON?branch=master\n\n\nExample\n=======\n\nCalling ``newlinejson.open()`` returns a file-like object that behaves like\nPython's ``io.TextIOWrapper``:\n\n.. code-block:: python\n\n    import newlinejson as nlj\n\n    with nlj.open('sample-data/dictionaries.json') as src, \\\n            with nlj.open('out.json', 'w') as dst:\n        for line in src:\n            dst.write(line)\n\n    with open('out.json') as f:\n        print(f.read()))\n    {'field2': 'l1f2', 'field3': 'l1f3', 'field1': 'l1f1'}\n    {'field2': 'l2f2', 'field3': 'l2f3', 'field1': 'l2f1'}\n    {'field2': 'l3f2', 'field3': 'l3f3', 'field1': 'l3f1'}\n    {'field2': 'l4f2', 'field3': 'l4f3', 'field1': 'l4f1'}\n    {'field2': 'l5f2', 'field3': 'l5f3', 'field1': 'l5f1'}\n\n\nCommand Line Interface\n======================\n\nRather than provide another utility, the CLI is accessed from ``python -m newlinejson``:\n\n.. code-block:: console\n\n    $ python -m newlinejson --help\n    Usage: newlinejson [OPTIONS] COMMAND [ARGS]...\n\n      NewlineJSON commandline interface.\n\n      Common simple ETL commands for homogeneous data.\n\n    Options:\n      --version  Show the version and exit.\n      --help     Show this message and exit.\n\n    Commands:\n      csv2nlj  Convert a CSV to newline JSON dictionaries.\n      insp     Open a file and launch a Python interpreter.\n      nlj2csv  Convert newline JSON dictionaries to a CSV.\n\nThe included utilities are for working with homogeneous data, meaning that every\nline has the same fields.  The goal is to provide simple data translation tools\nrather than a more comprehensive suite.\n\n\nCan't I do everything this module does with one function?\n=========================================================\n\nPretty much - this is the simplest newline delimited JSON API:\n\n.. code-block:: python\n\n    import json\n\n    def reader(stream):\n        for line in stream:\n            yield json.loads(line)\n\n    with open('sample-data/lists.json') as src, open('outfile.json', 'w') as dst:\n        for line in reader(src):\n            dst.write(json.dumps(line))\n\nBut it doesn't handle failures and every time it needs to be used it has to be\nre-written, which means it needs to be packaged, which means it needs unittests,\nmay as well be a little more Pythonic, and now we're back to this module.  It's\neasier and more Pythonic to just ``import newlinejson`` and know that it will\nwork rather than solve the exact same problem multiple times.\n\n\nWhy is this better than MsgPack, Protobuf, or any other packed-binary format?\n=============================================================================\n\nIt probably isn't.  If you're looking for a module to incorporate into a high\ncapacity data pipeline or bandwidth limited environment you definitely want a\npacked-binary format.  If you're working with a small amount of local data to\nproduce a one-off product, proofing a workflow, or want to provide additional\nI/O capabilities to a commandline application reading/writing from/to stdin/stdout,\nthis module is pretty easy to work with.\n\nThe goal of this module is to fill a gap in the Python ecosystem in an easy to\nuse and intuitive manner, not to provide highly optimized I/O.  If Python's\nbuilt-in JSON library isn't fast enough but newline delimited JSON is the right\nanswer to your problem, one of many faster JSON libraries can be used globally with\n``newlinejson.core.JSON_LIB = module`` or by setting ``json_lib=module`` as a keyword\nargument in ``open()``, ``load()``, etc.\n\n\nInstalling\n==========\n\nVia pip:\n\n.. code-block:: console\n\n    $ pip install NewlineJSON\n\n>From master:\n\n.. code-block:: console\n\n    $ git clone https://github.com/geowurster/NewlineJSON.git\n    $ cd NewlineJSON\n    $ python setup.py install\n\n\nDeveloping\n==========\n\nInstall:\n\n.. code-block:: console\n\n    $ pip install virtualenv\n    $ git clone https://github.com/geowurster/NewlineJSON\n    $ cd NewlineJSON\n    $ virtualenv venv\n    $ source venv/bin/activate\n    $ pip install -e .[test]\n    $ py.test tests --cov newlinejson --cov-report term-missing\n    $ pep8 --max-line-length=95 newlinejson\n\n\nLicense\n=======\n\nSee ``LICENSE.txt``\n\n\nChangelog\n=========\n\nSee ``CHANGES.md``",
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