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    "info": {
        "author": "Fl\u00e1vio Juvenal",
        "author_email": "flaviojuvenal@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Topic :: Utilities"
        ],
        "description": "# retry\\_on\\_exceptions decorator\nDecorator for retrying a function N times by catching one of the specified exceptions and then retrying.\nSpecially useful for functions that throws errors sporadically, like ones that depends on external resources as web APIs, databases, etc.\n\nUsage:\n\n    from retry import retry_on_exceptions\n\n    current_try = 0\n    @retry_on_exceptions(types=[ZeroDivisionError, KeyError], tries=3)\n    def test():\n        global current_try\n        current_try += 1\n        if current_try == 1:\n            return 1 / 0\n        elif current_try == 2:\n            return dict()['key']\n        else:\n            return \"Got it on last try!\"    \n\n    if __name__ == \"__main__\":\n        print test()\n\nThe code above prints (if root logger is active and on debug level):\n\n- Retrying function test\n- Retrying function test\n- Last try... and I will raise up whatever exception is raised\n- Got it on last try!\n\nOptionally, you can also specify a delay (a float in seconds), making the current thread sleep between tries:\n    \n    @retry_on_exceptions(types=[urllib2.URLError], tries=3, delay=3.5)",
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        "license": "MIT License",
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        "name": "retry_on_exceptions",
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        "summary": "Decorator for retrying a function N times in case some specified exception occurs.",
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