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    "info": {
        "author": "Alexander Schepanovski",
        "author_email": "suor.web@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "Overload\n========\n\nOverload python functions to behave diffrently depending on number and types of arguments.\n\n\nInstall\n-------\n\n::\n\n    pip install p2-overload\n\n\nUsage\n-----\n\n::\n\n    from overload import *\n\n    # types and number or agrs:\n    @overload(int)\n    def quantify(n):\n        return 'quantify' * n\n\n    @overload(str)\n    def quantify(s):\n        return s * 2\n\n    @overload(str, int)\n    def quantify(s, n):\n        return s * n\n\n    assert quantify(2) == 'quantifyquantify'\n    assert quantify('bye') == 'byebye'\n    assert quantify('xy', 3) == 'xyxyxy'\n\n    # predicates on args\n    @overload(int, int)\n    def step(start, step):\n        return start + step\n\n    @overload(int, callable)\n    def step(start, succ):\n        return succ(start)\n\n    # use tuple of types\n    @overload((list, tuple))\n    def twice(coll):\n        return coll + coll\n\n    # use custom predicates\n    from whatever import _\n\n    @overload(_ < 2) # same as lambda x: x < 2\n    def fib(n):\n        return n\n\n    @overload(int)\n    def fib(n):\n        return fib(n-1) + fib(n-2)\n\n\nTODO\n----\n\n- support named and optional arguments\n- ellipsis",
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        "name": "p2-overload",
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        "summary": "Overload python 2 functions with decorator.",
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