{
    "info": {
        "author": "Jendrik Seipp",
        "author_email": "jendrikseipp@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "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",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Quality Assurance"
        ],
        "description": "Vulture - Find dead code\n========================\n\n.. image:: https://travis-ci.org/jendrikseipp/vulture.svg?branch=master\n   :target: https://travis-ci.org/jendrikseipp/vulture\n   :alt: Travis CI build status (Linux)\n\n.. image:: https://ci.appveyor.com/api/projects/status/github/jendrikseipp/vulture?svg=true\n   :target: https://ci.appveyor.com/project/jendrikseipp96693/vulture\n   :alt: AppVeyor CI build status (Windows)\n\n.. image:: https://coveralls.io/repos/github/jendrikseipp/vulture/badge.svg?branch=master\n   :target: https://coveralls.io/github/jendrikseipp/vulture?branch=master\n\nVulture finds unused code in Python programs. This is useful for\ncleaning up and finding errors in large code bases. If you run Vulture\non both your library and test suite you can find untested code.\n\nDue to Python's dynamic nature, static code analyzers like Vulture are\nlikely to miss some dead code. Also, code that is only called implicitly\nmay be reported as unused. Nonetheless, Vulture can be a very helpful\ntool for higher code quality.\n\n\nFeatures\n--------\n\n* fast: uses static code analysis\n* tested: tests itself and has complete test coverage\n* complements pyflakes and has the same output syntax\n* sorts unused classes and functions by size with ``--sort-by-size``\n* supports Python 2.7 and Python >= 3.5\n\n\nInstallation\n------------\n\n::\n\n  $ pip install vulture  # from PyPI\n  $ pip install .        # from cloned repo\n\n\nUsage\n-----\n\n::\n\n  $ vulture myscript.py  # or\n  $ python3 -m vulture myscript.py\n  $ vulture myscript.py mypackage/\n  $ vulture myscript.py --min-confidence 100  # Only report 100% dead code.\n\nThe provided arguments may be Python files or directories. For each\ndirectory Vulture analyzes all contained `*.py` files.\n\nVulture assigns each chunk of dead code a confidence value. A confidence\nvalue of 100% means that the code will never be executed. Values below\n100% are only estimates for how likely it is that the code is unused.\n\nAfter you have found and deleted dead code, run Vulture again, because\nit may discover more dead code.\n\n**Handling false positives**\n\nYou can add used code that is reported as unused to a Python module and\nadd it to the list of scanned paths. To obtain such a whitelist\nautomatically, pass ``--make-whitelist`` to Vulture. ::\n\n  $ vulture mydir --make-whitelist > whitelist.py\n  $ vulture mydir whitelist.py\n\nWe collect whitelists for common Python modules and packages in\n``vulture/whitelists/`` (pull requests are welcome). If you want to\nignore a whole file or directory, use the ``--exclude`` parameter (e.g.,\n``--exclude *settings.py,docs/``).\n\n**Ignoring names**\n\nYou can use ``--ignore-names foo*,ba[rz]`` to let Vulture ignore all names\nstarting with ``foo`` and the names ``bar`` and ``baz``. Additionally, the\n``--ignore-decorators`` option can be used to ignore functions decorated\nwith the given decorator. This is helpful for example in Flask projects,\nwhere you can use ``--ignore-decorators \"@app.route\"`` to ignore all functions\nwith the ``@app.route`` decorator.\n\nWe recommend using whitelists instead of ``--ignore-names`` or\n``--ignore-decorators`` whenever possible, since whitelists are automatically\nchecked for syntactic correctness when passed to Vulture and often you can\neven pass them to your Python interpreter and let it check that all\nwhitelisted code actually still exists in your project.\n\n**Marking unused variables**\n\nThere are situations where you can't just remove unused variables, e.g.,\nin tuple assignments or function signatures. Vulture will ignore these\nvariables if they start with an underscore (e.g., ``_x, y = get_pos()``).\n\n**Minimum confidence**\n\nYou can use the ``--min-confidence`` flag to set the minimum confidence\nfor code to be reported as unused. Use ``--min-confidence 100`` to only\nreport code that is guaranteed to be unused within the analyzed files.\n\n\nHow does it work?\n-----------------\n\nVulture uses the ``ast`` module to build abstract syntax trees for all\ngiven files. While traversing all syntax trees it records the names of\ndefined and used objects. Afterwards, it reports the objects which have\nbeen defined, but not used. This analysis ignores scopes and only takes\nobject names into account.\n\nVulture also detects unreachable code by looking for code after\n``return``, ``break``, ``continue`` and ``raise`` statements, and by\nsearching for unsatisfiable ``if``- and ``while``-conditions.\n\n\nSort by size\n------------\n\nWhen using the ``--sort-by-size`` option, Vulture sorts unused code by\nits number of lines. This helps developers prioritize where to look for\ndead code first.\n\n\n\nExamples\n--------\n\nConsider the following Python script (``dead_code.py``):\n\n.. code:: python\n\n    import os\n\n    class Greeter:\n        def greet(self):\n            print(\"Hi\")\n\n    def hello_world():\n        message = \"Hello, world!\"\n        greeter = Greeter()\n        greet_func = getattr(greeter, \"greet\")\n        greet_func()\n\n    if __name__ == \"__main__\":\n        hello_world()\n\nCalling ::\n\n    vulture dead_code.py\n\nresults in the following output::\n\n    dead_code.py:1: unused import 'os' (90% confidence)\n    dead_code.py:4: unused function 'greet' (60% confidence)\n    dead_code.py:8: unused variable 'message' (60% confidence)\n\nVulture correctly reports \"os\" and \"message\" as unused, but it fails to\ndetect that \"greet\" is actually used. The recommended method to deal with\nfalse positives like this is to create a whitelist Python file.\n\n**Preparing whitelists**\n\nIn a whitelist we simulate the usage of variables, attributes, etc. For\nthe program above, a whitelist could look as follows:\n\n.. code:: python\n\n    # whitelist_dead_code.py\n    from dead_code import Greeter\n    Greeter.greet\n\nAlternatively, you can pass ``--make-whitelist`` to Vulture and obtain\nan automatically generated whitelist.\n\nPassing both the original program and the whitelist to Vulture ::\n\n    vulture dead_code.py whitelist_dead_code.py\n\nmakes Vulture ignore the \"greet\" method::\n\n    dead_code.py:1: unused import 'os' (90% confidence)\n    dead_code.py:8: unused variable 'message' (60% confidence)\n\n\nExit codes\n----------\n\n+-----------+---------------------------------------------------------------+\n| Exit code |                          Description                          |\n+===========+===============================================================+\n|     0     | No dead code found                                            |\n+-----------+---------------------------------------------------------------+\n|     1     | Dead code found                                               |\n+-----------+---------------------------------------------------------------+\n|     1     | Invalid input (file missing, syntax error, wrong encoding)    |\n+-----------+---------------------------------------------------------------+\n|     2     | Invalid command line arguments                                |\n+-----------+---------------------------------------------------------------+\n\n\nSimilar programs\n----------------\n\n* Vulture can be used together with *pyflakes*\n* The *coverage* module can find unused code more reliably, but requires\n  all branches of the code to actually be run.\n\n\nParticipate\n-----------\n\nPlease visit https://github.com/jendrikseipp/vulture to report any\nissues or to make pull requests.\n\n* Contributing guide: `CONTRIBUTING.rst <https://github.com/jendrikseipp/vulture/blob/master/CONTRIBUTING.rst>`_\n* Changelog: `NEWS.rst <https://github.com/jendrikseipp/vulture/blob/master/NEWS.rst>`_\n* Roadmap: `TODO.rst <https://github.com/jendrikseipp/vulture/blob/master/TODO.rst>`_\n\n\nNews\n====\n\n1.1 (2019-09-23)\n----------------\n* Add ``sys.excepthook`` to ``sys`` whitelist.\n* Add whitelist for ``ctypes`` module.\n* Check that Python 3.6 type-annotations are parsed and type comments are ignored (thanks @kx-chen).\n* Support checking files with BOM under Python 2.7 (#170).\n\n\n1.0 (2018-10-23)\n----------------\n* Add ``--ignore-decorators`` flag (thanks @RJ722).\n* Add whitelist for ``threading`` module (thanks @andrewhalle).\n\n\n0.29 (2018-07-31)\n-----------------\n* Add ``--ignore-names`` flag for ignoring names matching the given glob patterns (thanks @RJ722).\n\n\n0.28 (2018-07-05)\n-----------------\n* Add ``--make-whitelist`` flag for reporting output in whitelist format (thanks @RJ722).\n* Ignore case of ``--exclude`` arguments on Windows.\n* Add ``*-test.py`` to recognized test file patterns.\n* Add ``failureException``, ``longMessage`` and ``maxDiff`` to ``unittest`` whitelist.\n* Refer to actual objects rather than their mocks in default whitelists (thanks @RJ722).\n* Don't import any Vulture modules in setup.py (thanks @RJ722).\n\n\n0.27 (2018-06-05)\n-----------------\n* Report ``while (True): ... else: ...`` as unreachable (thanks @RJ722).\n* Use ``argparse`` instead of ``optparse``.\n* Whitelist Mock.return_value and Mock.side_effect in unittest.mock module.\n* Drop support for Python 2.6 and 3.3.\n* Improve documentation and test coverage (thanks @RJ722).\n\n\n0.26 (2017-08-28)\n-----------------\n* Detect ``async`` function definitions (thanks @RJ722).\n* Add ``Item.get_report()`` method (thanks @RJ722).\n* Move method for finding Python modules out of Vulture class.\n\n\n0.25 (2017-08-15)\n-----------------\n* Detect unsatisfiable statements containing ``and``, ``or`` and ``not``.\n* Use filenames and line numbers as tie-breakers when sorting by size.\n* Store first and last line numbers in Item objects.\n* Pass relevant options directly to ``scavenge()`` and ``report()``.\n\n\n0.24 (2017-08-14)\n-----------------\n* Detect unsatisfiable ``while``-conditions (thanks @RJ722).\n* Detect unsatisfiable ``if``- and ``else``-conditions (thanks @RJ722).\n* Handle null bytes in source code.\n\n\n0.23 (2017-08-10)\n-----------------\n* Add ``--min-confidence`` flag (thanks @RJ722).\n\n\n0.22 (2017-08-04)\n-----------------\n* Detect unreachable code after ``return``, ``break``, ``continue`` and\n  ``raise`` (thanks @RJ722).\n* Parse all variable and attribute names in new format strings.\n* Extend ast whitelist.\n\n\n0.21 (2017-07-26)\n-----------------\n* If an unused item is defined multiple times, report it multiple times.\n* Make size estimates for function calls more accurate.\n* Create wheel files for Vulture (thanks @RJ722).\n\n\n0.20 (2017-07-26)\n-----------------\n* Report unused tuple assignments as dead code.\n* Report attribute names that have the same names as variables as dead code.\n* Let Item class inherit from ``object`` (thanks @RJ722).\n* Handle names imported as aliases like all other used variable names.\n* Rename Vulture.used_vars to Vulture.used_names.\n* Use function for determining which imports to ignore.\n* Only try to import each whitelist file once.\n* Store used names and used attributes in sets instead of lists.\n* Fix estimating the size of code containing ellipses (...).\n* Refactor and simplify code.\n\n\n0.19 (2017-07-20)\n-----------------\n* Don't ignore `__foo` variable names.\n* Use separate methods for determining whether to ignore classes and functions.\n* Only try to find a whitelist for each defined import once (thanks @roivanov).\n* Fix finding the last child for many types of AST nodes.\n\n\n0.18 (2017-07-17)\n-----------------\n* Make `--sort-by-size` faster and more accurate (thanks @RJ722).\n\n\n0.17 (2017-07-17)\n-----------------\n* Add `get_unused_code()` method.\n* Return with exit code 1 when syntax errors are found or files can't be read.\n\n\n0.16 (2017-07-12)\n-----------------\n* Differentiate between unused classes and functions (thanks @RJ722).\n* Add --sort-by-size option (thanks @jackric and @RJ722).\n* Count imports as used if they are accessed as module attributes.\n\n\n0.15 (2017-07-04)\n-----------------\n* Automatically include whitelists based on imported modules (thanks @RJ722).\n* Add --version parameter (thanks @RJ722).\n* Add appveyor tests for testing on Windows (thanks @RJ722).\n\n\n0.14 (2017-04-06)\n-----------------\n* Add stub whitelist file for Python standard library (thanks @RJ722)\n* Ignore class names starting with \"Test\" in \"test\\_\" files (thanks @thisch).\n* Ignore \"test\\_\" functions only in \"test\\_\" files.\n\n\n0.13 (2017-03-06)\n-----------------\n* Ignore star-imported names since we cannot detect whether they are used.\n* Move repository to GitHub.\n\n\n0.12 (2017-01-05)\n-----------------\n* Detect unused imports.\n* Use tokenize.open() on Python >= 3.2 for reading input files, assume\n  UTF-8 encoding on older Python versions.\n\n\n0.11 (2016-11-27)\n-----------------\n* Use the system's default encoding when reading files.\n* Report syntax errors instead of aborting.\n\n\n0.10 (2016-07-14)\n-----------------\n* Detect unused function and method arguments (issue #15).\n* Detect unused \\*args and \\*\\*kwargs parameters.\n* Change license from GPL to MIT.\n\n\n0.9 (2016-06-29)\n----------------\n* Don't flag attributes as unused if they are used as global variables\n  in another module (thanks Florian Bruhin).\n* Don't consider \"True\" and \"False\" variable names.\n* Abort with error message when invoked on .pyc files.\n\n\n0.8.1 (2015-09-28)\n------------------\n* Fix code for Python 3.\n\n\n0.8 (2015-09-28)\n----------------\n* Do not flag names imported with \"import as\" as dead code (thanks Tom Terrace).\n\n\n0.7 (2015-09-26)\n----------------\n* Exit with exitcode 1 if path on commandline can't be found.\n* Test vulture with vulture using a whitelist module for false positives.\n* Add tests that run vulture as a script.\n* Add \"python setup.py test\" command for running tests.\n* Add support for tox.\n* Raise test coverage to 100%.\n* Remove ez_setup.py.\n\n\n0.6 (2014-09-06)\n----------------\n* Ignore function names starting with \"test\\_\".\n* Parse variable names in new format strings (e.g. \"This is {x}\".format(x=\"nice\")).\n* Only parse alphanumeric variable names in format strings and ignore types.\n* Abort with exit code 1 on syntax errors.\n* Support installation under Windows by using setuptools (thanks Reuben Fletcher-Costin).\n\n\n0.5 (2014-05-09)\n----------------\n* If dead code is 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