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    "info": {
        "author": "Dustin Ingram",
        "author_email": "github@dustingram.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "Vladiate\n========\n\n.. image:: https://travis-ci.org/di/vladiate.svg?branch=master\n    :target: https://travis-ci.org/di/vladiate\n\n.. image:: https://coveralls.io/repos/di/vladiate/badge.svg?branch=master\n    :target: https://coveralls.io/github/di/vladiate\n\n.. image:: https://requires.io/github/di/vladiate/requirements.svg?branch=master\n     :target: https://requires.io/github/di/vladiate/requirements/?branch=master\n     :alt: Requirements Status\n\nDescription\n-----------\n\nVladiate helps you write explicit assertions for every field of your CSV\nfile.\n\nFeatures\n--------\n\n**Write validation schemas in plain-old Python**\n  No UI, no XML, no JSON, just code.\n\n**Write your own validators**\n  Vladiate comes with a few by default, but there's no reason you can't write\n  your own.\n\n**Validate multiple files at once**\n  Either with the same schema, or different ones.\n\nDocumentation\n-------------\n\nInstallation\n~~~~~~~~~~~~\n\nInstalling:\n\n::\n\n    $ pip install vladiate\n\nQuickstart\n~~~~~~~~~~\n\nBelow is an example of a ``vladfile.py``\n\n.. code:: python\n\n    from vladiate import Vlad\n    from vladiate.validators import UniqueValidator, SetValidator\n    from vladiate.inputs import LocalFile\n\n    class YourFirstValidator(Vlad):\n        source = LocalFile('vampires.csv')\n        validators = {\n            'Column A': [\n                UniqueValidator()\n            ],\n            'Column B': [\n                SetValidator(['Vampire', 'Not A Vampire'])\n            ]\n        }\n\nHere we define a number of validators for a local file ``vampires.csv``,\nwhich would look like this:\n\n::\n\n    Column A,Column B\n    Vlad the Impaler,Not A Vampire\n    Dracula,Vampire\n    Count Chocula,Vampire\n\nWe then run ``vladiate`` in the same directory as your ``.csv`` file:\n\n::\n\n    $ vladiate\n\nAnd get the following output:\n\n::\n\n    Validating YourFirstValidator(source=LocalFile('vampires.csv'))\n    Passed! :)\n\nHandling Changes\n^^^^^^^^^^^^^^^^\n\nLet's imagine that you've gotten a new CSV file,\n``potential_vampires.csv``, that looks like this:\n\n::\n\n    Column A,Column B\n    Vlad the Impaler,Not A Vampire\n    Dracula,Vampire\n    Count Chocula,Vampire\n    Ronald Reagan,Maybe A Vampire\n\nIf we were to update our first validator to use this file as follows:\n\n::\n\n    - class YourFirstValidator(Vlad):\n    -     source = LocalFile('vampires.csv')\n    + class YourFirstFailingValidator(Vlad):\n    +     source = LocalFile('potential_vampires.csv')\n\nwe would get the following error:\n\n::\n\n    Validating YourFirstFailingValidator(source=LocalFile('potential_vampires.csv'))\n    Failed :(\n      SetValidator failed 1 time(s) (25.0%) on field: 'Column B'\n        Invalid fields: ['Maybe A Vampire']\n\nAnd we would know that we'd either need to sanitize this field, or add\nit to the ``SetValidator``.\n\nStarting from scratch\n^^^^^^^^^^^^^^^^^^^^^\n\nTo make writing a new ``vladfile.py`` easy, Vladiate will give\nmeaningful error messages.\n\nGiven the following as ``real_vampires.csv``:\n\n::\n\n    Column A,Column B,Column C\n    Vlad the Impaler,Not A Vampire\n    Dracula,Vampire\n    Count Chocula,Vampire\n    Ronald Reagan,Maybe A Vampire\n\nWe could write a bare-bones validator as follows:\n\n.. code:: python\n\n    class YourFirstEmptyValidator(Vlad):\n        source = LocalFile('real_vampires.csv')\n        validators = {}\n\nRunning this with ``vladiate`` would give the following error:\n\n::\n\n    Validating YourFirstEmptyValidator(source=LocalFile('real_vampires.csv'))\n    Missing...\n      Missing validators for:\n        'Column A': [],\n        'Column B': [],\n        'Column C': [],\n\nVladiate expects something to be specified for every column, *even if it\nis an empty list* (more on this later). We can easily copy and paste\nfrom the error into our ``vladfile.py`` to make it:\n\n.. code:: python\n\n    class YourFirstEmptyValidator(Vlad):\n        source = LocalFile('real_vampires.csv')\n        validators = {\n            'Column A': [],\n            'Column B': [],\n            'Column C': [],\n        }\n\nWhen we run *this* with ``vladiate``, we get:\n\n::\n\n    Validating YourSecondEmptyValidator(source=LocalFile('real_vampires.csv'))\n    Failed :(\n      EmptyValidator failed 4 time(s) (100.0%) on field: 'Column A'\n        Invalid fields: ['Dracula', 'Vlad the Impaler', 'Count Chocula', 'Ronald Reagan']\n      EmptyValidator failed 4 time(s) (100.0%) on field: 'Column B'\n        Invalid fields: ['Maybe A Vampire', 'Not A Vampire', 'Vampire']\n      EmptyValidator failed 4 time(s) (100.0%) on field: 'Column C'\n        Invalid fields: ['Real', 'Not Real']\n\nThis is because Vladiate interprets an empty list of validators for a\nfield as an ``EmptyValidator``, which expects an empty string in every\nfield. This helps us make meaningful decisions when adding validators to\nour ``vladfile.py``. It also ensures that we are not forgetting about a\ncolumn or field which is not empty.\n\nBuilt-in Validators\n^^^^^^^^^^^^^^^^^^^\n\nVladiate comes with a few common validators built-in:\n\n*class* ``Validator``\n\n  Generic validator. Should be subclassed by any custom validators. Not to\n  be used directly.\n\n*class* ``CastValidator``\n\n  Generic \"can-be-cast-to-x\" validator. Should be subclassed by any\n  cast-test validator. Not to be used directly.\n\n*class* ``IntValidator``\n\n  Validates whether a field can be cast to an ``int`` type or not.\n\n  :``empty_ok=False``:\n      Specify whether a field which is an empty string should be ignored.\n\n*class* ``FloatValidator``\n\n  Validates whether a field can be cast to an ``float`` type or not.\n\n  :``empty_ok=False``:\n      Specify whether a field which is an empty string should be ignored.\n\n*class* ``SetValidator``\n\n  Validates whether a field is in the specified set of possible fields.\n\n  :``valid_set=[]``:\n      List of valid possible fields\n  :``empty_ok=False``:\n      Implicity adds the empty string to the specified set.\n\n*class* ``UniqueValidator``\n\n  Ensures that a given field is not repeated in any other column. Can\n  optionally determine \"uniqueness\" with other fields in the row as well via\n  ``unique_with``.\n\n  :``unique_with=[]``:\n      List of field names to make the primary field unique with.\n  :``empty_ok=False``:\n      Specify whether a field which is an empty string should be ignored.\n\n*class* ``RegexValidator``\n\n  Validates whether a field matches the given regex using `re.match()`.\n\n  :``pattern=r'di^'``:\n      The regex pattern. Fails for all fields by default.\n  :``full=False``:\n      Specify whether we should use a fullmatch() or match().\n  :``empty_ok=False``:\n      Specify whether a field which is an empty string should be ignored.\n\n*class* ``RangeValidator``\n\n  Validates whether a field falls within a given range (inclusive). Can handle\n  integers or floats.\n\n  :``low``:\n      The low value of the range.\n  :``high``:\n      The high value of the range.\n  :``empty_ok=False``:\n      Specify whether a field which is an empty string should be ignored.\n\n*class* ``EmptyValidator``\n\n  Ensure that a field is always empty. Essentially the same as an empty\n  ``SetValidator``. This is used by default when a field has no\n  validators.\n\n*class* ``NotEmptyValidator``\n\n  The opposite of an ``EmptyValidator``. Ensure that a field is never empty.\n\n*class* ``Ignore``\n\n  Always passes validation. Used to explicity ignore a given column.\n\nBuilt-in Input Types\n^^^^^^^^^^^^^^^^^^^^\n\nVladiate comes with the following input types:\n\n*class* ``VladInput``\n\n  Generic input. Should be subclassed by any custom inputs. Not to be used\n  directly.\n\n*class* ``LocalFile``\n\n  Read from a file local to the filesystem.\n\n  :``filename``:\n      Path to a local CSV file.\n\n*class* ``S3File``\n\n  Read from a file in S3. Optionally can specify either a full path, or a\n  bucket/key pair.\n\n  Requires the `boto <https://github.com/boto/boto>`_ library, which should be\n  installed via ``pip install vladiate[s3]``.\n\n  :``path=None``:\n      A full S3 filepath (e.g., ``s3://foo.bar/path/to/file.csv``)\n\n  :``bucket=None``:\n      S3 bucket. Must be specified with a ``key``.\n\n  :``key=None``:\n      S3 key. Must be specified with a ``bucket``.\n\n*class* ``String``\n\n  Read CSV from a string. Can take either an ``str`` or a ``StringIO``.\n\n  :``string_input=None``\n      Regular Python string input.\n\n  :``string_io=None``\n      ``StringIO`` input.\n\nRunning Vlads Programatically\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n*class* ``Vlad``\n\n  Initialize a Vlad programatically\n\n  :``source``:\n      Required. Any `VladInput`.\n\n  :``validators={}``:\n      List of validators. Optional, defaults to the class variable `validators`\n      if set, otherwise uses `EmptyValidator` for all fields.\n\n  :``delimiter=','``:\n      The delimiter used within your csv source. Optional, defaults to `,`.\n\n  :``ignore_missing_validators=False``:\n      Whether to fail validation if there are fields in the file for which the\n      `Vlad` does not have validators. Optional, defaults to `False`.\n\n  For example:\n\n.. code:: python\n\n    from vladiate import Vlad\n    from vladiate.inputs import LocalFile\n    Vlad(source=LocalFile('path/to/local/file.csv').validate()\n\nTesting\n~~~~~~~\n\nTo run the tests:\n\n::\n\n    make test\n\nTo run the linter:\n\n::\n\n    make lint\n\nCommand Line Arguments\n~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: bash\n\n    Usage: vladiate [options] [VladClass [VladClass2 ... ]]\n\n    Options:\n      -h, --help            show this help message and exit\n      -f VLADFILE, --vladfile=VLADFILE\n                            Python module file to import, e.g. '../other.py'.\n                            Default: vladfile\n      -l, --list            Show list of possible vladiate classes and exit\n      -V, --version         show version number and exit\n      -p PROCESSES, --processes=PROCESSES\n                            attempt to use this number of processes, Default: 1\n\nAuthors\n-------\n\n-  `Dustin Ingram <https://github.com/di>`__\n-  `Clara Bennett <https://github.com/csojinb>`__\n-  `Aditya Natraj <https://github.com/adityanatra>`__\n-  `Sterling Petersen <https://github.com/sterlingpetersen>`__\n\nLicense\n-------\n\nOpen source MIT license.\n\n\n",
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