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    "info": {
        "author": "Mats Blomdahl",
        "author_email": "mats.blomdahl@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved",
            "Natural Language :: English",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Quality Assurance"
        ],
        "description": "\nqsck\n====\n\nPython library for serializing and deserializing a wonky format referred to\nas \".qs\" files. For full format specification, please read through\n[tests.test_serialize](https://github.com/mblomdahl/qsck/blob/master/tests/test_serialize.py)\nand\n[tests.test_deserialize](https://github.com/mblomdahl/qsck/blob/master/tests/test_deserialize.py)\ntest suites and extrapolate.\n\n\nQuick Start\n-----------\n\n**Use Python \u2265 3.6 only.** To install it, simply:\n\n    pip3 install qsck\n\n\n### Serializing Data\n\nVia Python:\n\n    python3 -c \"import qsck; print(qsck.serialize('LOG', '1553302923', [\n        ('first_key', 'some value'),\n        ('2nd_key', [('attr1', 'foo'), ('attr2', 'bar')]),\n        ('3rd_key', {'subKey1': '-3', 'subKey2': None}),\n        ('4th_key', None)\n    ]))\"\n\n\nOut comes a \".qs\" record, like so:\n\n    LOG,1553302923,first_key=some value,2nd_key={attr1=foo, attr2=bar},3rd_key={\"subKey1\":\"-3\",\"subKey2\":null},4th_key=(null)\n\n\nThe library also supports serializing data by passing in a JSON file via\nthe command-line tool `qs-format`, one record per line:\n\n    qs-format my-records.json > my-records.qs\n\n\n## Deserializing Data\n\nVia Python:\n\n    python3 -c \"import pprint, qsck; pprint.pprint(qsck.deserialize(\n        'LOG,1553302923,first_key=some value,2nd_key={attr1=foo, \\\n        attr2=bar},3rd_key={\\\"subKey1\\\":\\\"-3\\\",\\\"subKey2\\\":null},4th_key=(null)'))\"\n\n\nOut comes a friendly Python collection:\n\n    ('LOG',\n     '1553302923',\n     [('first_key', 'some value'),\n      ('2nd_key', [('attr1', 'foo'), ('attr2', 'bar')]),\n      ('3rd_key', {'subKey1': '-3', 'subKey2': None}),\n      ('4th_key', None)])\n\n\nThe library-provided `qs-parse` command-line tool supports deserializing a whole\n\".qs\" log file, emitting one JSON record per input line to stdout:\n\n    qs-parse my-records.qs > my-records.json \n\n\nContributing\n------------\n\nReally? Very welcome. Do the usual fork-and-submit-PR thingy.\n\nRunning the tests:\n\n    python setup.py test\n\n\nDistributing:\n\n    pip3 install --upgrade twine wheel setuptools\n    python setup.py sdist bdist_wheel\n    twine upload dist/*\n\n\nChangelog\n---------\n\n### `0.3` - Better Deserialization\n\n- Adds support for funky \"nested-nested lists\" in .qs records\n- Squashing complex comma (`,`) values\n\n\n### `0.2` \u2013 Deserialize Added\n\nAdds support for de-serializing \".qs\" records.\n\n\n### `0.1` \u2013 Initial Release\n\nSupports serializing \".qs\" records.\n\n\n\n",
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