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    "info": {
        "author": "Jonathan Eunice",
        "author_email": "jonathan.eunice@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "\n| |travisci| |version| |versions| |impls| |wheel| |coverage|\n\n.. |travisci| image:: https://travis-ci.org/jonathaneunice/textdata.svg?branch=master\n    :alt: Travis CI build status\n    :target: https://travis-ci.org/jonathaneunice/textdata\n\n.. |version| image:: http://img.shields.io/pypi/v/textdata.svg?style=flat\n    :alt: PyPI Package latest release\n    :target: https://pypi.org/project/textdata\n\n.. |versions| image:: https://img.shields.io/pypi/pyversions/textdata.svg\n    :alt: Supported versions\n    :target: https://pypi.org/project/textdata\n\n.. |impls| image:: https://img.shields.io/pypi/implementation/textdata.svg\n    :alt: Supported implementations\n    :target: https://pypi.org/project/textdata\n\n.. |wheel| image:: https://img.shields.io/pypi/wheel/textdata.svg\n    :alt: Wheel packaging support\n    :target: https://pypi.org/project/textdata\n\n.. |coverage| image:: https://img.shields.io/badge/test_coverage-99%25-blue.svg\n    :alt: Test line coverage\n    :target: https://pypi.org/project/textdata\n\nOne often needs to state data in program source. Python, however, needs its\nprogram lines indented *just so*. Multi-line strings therefore often have extra\nspaces and newline characters you didn't really want. Many developers \"fix\"\nthis by using Python ``list`` literals, but that's tedious, verbose, and often\nless legible.\n\nThe ``textdata`` package makes it easy to have clean, nicely-whitespaced\ndata specified in your program, but to get the data without extra syntax\ncluttering things up. It's permissive of the layouts needed to make Python\ncode look and work right, without reflecting those requirements in the\nresulting data.\n\nText (Strings and Lists)\n------------------------\n\n.. code-block:: pycon\n\n    >>> lines(\"\"\"\n    ...     There was an old woman who lived in a shoe.\n    ...     She had so many children, she didn't know what to do;\n    ...     She gave them some broth without any bread;\n    ...     Then whipped them all soundly and put them to bed.\n    ... \"\"\")\n    ['There was an old woman who lived in a shoe.',\n     \"She had so many children, she didn't know what to do;\",\n     'She gave them some broth without any bread;',\n     'Then whipped them all soundly and put them to bed.']\n\nNote that the \"extra\" newlines and leading spaces have been\ntaken care of and discarded. Or do you want that as just one\nstring? Okay:\n\n.. code-block:: pycon\n\n    >>> text(\"\"\"\n    ...     There was an old woman who lived in a shoe.\n    ...     She had so many children, she didn't know what to do;\n    ...     She gave them some broth without any bread;\n    ...     Then whipped them all soundly and put them to bed.\n    ... \"\"\")\n    \"There was an old woman who lived in a shoe.\\nShe ...put them to bed.\"\n\nHere ``text()`` does the same stripping of pointless whitespace at the beginning\nand end of lines, returning the data as a clean, convenient string. Or if you\ndon't want most of the line endings, try ``textline`` on the same input to get a\nsingle no-breaks line.\n\nWords and Phrases\n-----------------\n\nOther times, the data you need is almost, but not quite, a series of\nwords. A list of names, a list of colors--values that are mostly\nsingle words, but sometimes have an embedded spaces. ``textdata`` has you\ncovered:\n\n.. code-block:: pycon\n\n    >>> words(' Billy Bobby \"Mr. Smith\" \"Mrs. Jones\"  ')\n    ['Billy', 'Bobby', 'Mr. Smith', 'Mrs. Jones']\n\nEmbedded quotes (either single or double) can be used to construct\n\"words\" (or phrases) containing whitespace (including tabs and newlines).\n\n``words``, like the other ``textdata`` facilities, allows you to\ncomment individual lines that would otherwise muck up string literals:\n\n.. code-block:: pycon\n\n    exclude = words(\"\"\"\n        __pycache__ *.pyc *.pyo     # compilation artifacts\n        .hg* .git*                  # repository artifacts\n        .coverage                   # code tool artifacts\n        .DS_Store                   # platform artifacts\n    \"\"\")\n\nYields:\n\n.. code-block:: pycon\n\n    ['__pycache__', '*.pyc', '*.pyo', '.hg*', '.git*',\n     '.coverage', '.DS_Store']\n\nParagraphs\n----------\n\nInstead of words, you might wan to collect \"paragraphs\"--contiguous runs of text\nlines delineated by blank lines. Markdown and RST document formats, for example,\nuse this convention.\n\n.. code-block:: pycon\n\n    >>> rhyme = \"\"\"\n        Hey diddle diddle,\n\n        The cat and the fiddle,\n        The cow jumped over the moon.\n        The little dog laughed,\n        To see such sport,\n\n        And the dish ran away with the spoon.\n    \"\"\"\n    >>> paras(rhyme)\n    [['Hey diddle diddle,'],\n     ['The cat and the fiddle,',\n      'The cow jumped over the moon.',\n      'The little dog laughed,',\n      'To see such sport,'],\n     ['And the dish ran away with the spoon.']]\n\nOr if you'd like paras, but each paragraph in a single string:\n\n.. code-block:: pycon\n\n    >>> paras(rhyme, join=\"\\n\")\n    ['Hey diddle diddle,',\n     'The cat and the fiddle,\\nThe cow jumped over the moon.\\nThe little dog laughed,\\nTo see such sport,',\n     'And the dish ran away with the spoon.']\n\nDictionaries\n------------\n\nOr maybe you want a ``dict``. The ``attrs`` function makes it easy to\ngrab::\n\n.. code-block:: pycon\n\n    >>> attrs(\"a=1 b=2 c='something more'\")\n    {'a': 1, 'b': 2, 'c': 'something more'}\n\nIf you want to cut and paste data directly from JavaScript, JSON, HTML, CSS, or\nXML, easy peasy! No text editing required.\n\n.. code-block:: pycon\n\n    >>> # JavaScript\n    >>> attrs(\"a: 1, b: 2, c: 'something more'\")\n    {'a': 1, 'b': 2, 'c': 'something more'}\n\n    >>> # JSON\n    >>> attrs('\"a\": 1, \"b\": 2, \"c\": \"something more\"')\n    {'a': 1, 'b': 2, 'c': 'something more'}\n\n    >>> # HTML or XML\n    >>> attrs('a=\"1\" b=\"2\" c=\"something more\"')\n    {'a': '1', 'b': '2', 'c': 'something more'}\n\n    >>> # above returns strings, because values quoted, which denotes strings\n    >>> # 'full' evaluation needed to transform strings into values\n    >>> attrs('a=\"1\" b=\"2\" c=\"something more\"', evaluate='full')\n    {'a': 1, 'b': 2, 'c': 'something more'}\n\n    >>> # CSS\n    >>> attrs(\"a: 1; b: 2; c: 'something more'\")\n    {'a': 1, 'b': 2, 'c': 'something more'}\n\n\nTables\n------\n\nOr maybe you have tabular data.\n\n.. code-block:: pycon\n\n    >>> tabledata = \"\"\"\n    ...     name  age  strengths\n    ...     ----  ---  ---------------\n    ...     Joe   12   woodworking\n    ...     Jill  12   slingshot\n    ...     Meg   13   snark, snapchat\n    ... \"\"\"\n\n    >>> table(tabledata)\n    [['name', 'age', 'strengths'],\n     ['Joe', 12, 'woodworking'],\n     ['Jill', 12, 'slingshot'],\n     ['Meg', 13, 'snark, snapchat']]\n\n    >>> records(tabledata)\n    [{'name': 'Joe', 'age': 12, 'strengths': 'woodworking'},\n     {'name': 'Jill', 'age': 12, 'strengths': 'slingshot'},\n     {'name': 'Meg', 'age': 13, 'strengths': 'snark, snapchat'}]\n\nThis works even if you have a table with a lot of extra fluff:\n\n.. code-block:: pycon\n\n    >>> fancy = \"\"\"\n    ... +------+-----+-----------------+\n    ... | name | age | strengths       |\n    ... +------+-----+-----------------+\n    ... | Joe  |  12 | woodworking     |\n    ... | Jill |  12 | slingshot       |\n    ... | Meg  |  13 | snark, snapchat |\n    ... +------+-----+-----------------+\n    ... \"\"\"\n    >>> assert table(tabledata) == table(fancy)\n    >>> assert records(tabledata) == records(fancy)\n\nIt works with tables formatted in a variety of ways including Markdown, RST,\nANSI/Unicode line drawing characters, plain text columns and borders.... You'd\nmight think table parsing would be a dicey proposition, prone to failure, but\n``textdata`` has *dozens* of tests, including rather complex cases, showing\nit's a reliable, high-probability heuristic.\n\nIn Summary\n----------\n\n``textdata`` is all about conveniently grabbing the data you want from text\nfiles and program source, and doing it in a highly functional, convenient,\nwell-tested way. Take it for a spin today!\n\nSee `the full documentation\nat Read the Docs <https://textdata.readthedocs.org/en/latest/>`_.\n",
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