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    "info": {
        "author": "David Stanek",
        "author_email": "dstanek@dstanek.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Testing"
        ],
        "description": "typist - Test time type checking\n================================\n\n.. image:: https://secure.travis-ci.org/dstanek/typist.png\n\n**typist** is a test time tool that uses your Sphinx docstrings (you do document\nyour code right?) to ensure that your callables:\n\n- are only called with the types they expect\n- only return types they advertise\n- only raise exceptions they advertise\n\nUsage\n-----\n\nRight now you have to import typist and install it. The argument to install is\nthe top level package for the code you are interested in testing. In the\nfuture I plan on creating plugins for test frameworks.\n\n  .. code:: python\n\n    import typist\n    typist.install('keystone')\n\ntypist implements an `import hook`_ that will use Python's `AST`_ to add a\ndecorator to all of your callables. The decorator ensures the callable is\nproperly used based on its docstring type declarations. If your callable\ndoesn't have :param:, :returns or :raises: then it works just fine, it's\njust not checked.\n\nType language                                                                                                      \n-------------\n\nTypes will be pulled from the following formats:\n\n  :param {type} varname: some descriptive text\n  :rtype avarname: {types}\n  :returns {types}: some descriptive text\n\n`{type}` can be any valid Python type. Some examples:\n\n- `int`\n- `list`\n- `:py:class:typist._import_hook.Finder`\n- `typist._import_hook.Finder`\n\n`{types}` can be a list of types separated by commas that includes an optional\n'or'. All the same types as above can be used in the list. Some examples:\n\n- `list` or None\n- `int`, `float` or `long`\n- `int`, `float`, `long`\n- `typist._py.PY2` or `typist._py.PY3`\n- `list` or `callable`\n\n`callable` above is a special case. While technically it's not a type it does\ndescribe the way an object should behave. Another special cases that doesn't\nwork yet, but may soon is `iterable`.\n\nThis languasge for specifying a type will grow a bit more rich for collections.\nIt would be really handy to allow the developer to specify parameterized types\nlike:\n\n- `list<int>` - a `list` of `int`\n- `dict<str,package.module.Class>` - a `dict` where the keys are strings and\n  the values are instances of package.module.Class\n\nBackground\n----------\n\nThe idea to write to this came to me when I was working on Python 3 support\nfor `Keystone`_. I wanted to ensure that the code was actually getting the\nbinary or text types that it expected. I was sick of the bullshit practice of\n`.encode('utf8').decode('utf8')` (maybe I got that backwards) that made the\nexceptions go away, but does nothing to solve the problem.\n\nI didn't bother looking for something that was already implemented because I\nwanted to learn a bit about import hooks. If you know of something better then\nplease let me know. If this is the best thing since sliced bread I'd also like\nto know.\n\n.. _Keystone: http://docs.openstack.org/developer/keystone/\n.. _import hook: https://www.python.org/dev/peps/pep-0302/\n.. _AST: https://docs.python.org/2/library/ast.html",
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        "home_page": "https://github.com/dstanek/typist",
        "keywords": null,
        "license": "Apache Software License",
        "maintainer": null,
        "maintainer_email": null,
        "name": "typist",
        "package_url": "https://pypi.org/project/typist/",
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        "summary": "type checking at test time",
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