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    "info": {
        "author": "Ramakrishna Nemani",
        "author_email": "ram.nemani@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Topic :: Utilities"
        ],
        "description": "testdatagen python package\n==========================\n\nThis testdatagen.nameandaddr module generates pipe ('\\|') delimited test\ndata with the following fields - firstname, lastname, email,\nstreetAddress, ZipCode, City, State, StateAbrv, County, Latitude,\nLongitude\n\nThe intention of this module is to provide a simple way to quickly\ngenerate person test data.\n\nUsage :\n\n::\n\n    from testdatagen import nameandaddr\n    nameandaddr.nameaddr(filename, recordcount)\n\n    example : nameandaddr.nameaddr('persons.csv', 300)\n\n    This example will create  a file named 'persons.csv' in the  directory where this program is located.\n    The file 'persons.csv' will have 300 lines.\n    It is recommended that you provide a fuly qualified file name (i.e. /path/filename)\n\nIt needs the included csv files to generate the test data. These files\nare listed below -\n\n::\n\n    testdata_dn.csv\n    testdata_fn.csv\n    testdata_ln.csv\n    testdata_st.csv\n    us_postal_codes.csv\n\nOf the above csv files, the first four are created using faker module.\nThe last file is publicly available information.",
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        "keywords": "testdata,test data,fake",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "testdatagen",
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        "requires_dist": null,
        "requires_python": "",
        "summary": "Generates pipe delimited test data",
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