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        "author": "invl",
        "author_email": "invlpg@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: Implementation :: PyPy",
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        "description": "retry\n=====\n\n.. image:: https://pypip.in/d/retry/badge.png\n        :target: https://pypi.python.org/pypi/retry/\n\n.. image:: https://pypip.in/v/retry/badge.png\n        :target: https://pypi.python.org/pypi/retry/\n\n.. image:: https://pypip.in/license/retry/badge.png\n        :target: https://pypi.python.org/pypi/retry/\n\n\nEasy to use retry decorator.\n\n\nFeatures\n--------\n\n- No external dependency (stdlib only).\n- (Optionally) Preserve function signatures (`pip install decorator`).\n- Original traceback, easy to debug.\n\n\nInstallation\n------------\n\n.. code-block:: bash\n\n    $ pip install retry\n\n\nAPI\n---\n\nretry decorator\n^^^^^^^^^^^^^^^\n\n.. code:: python\n\n    def retry(exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff=1, jitter=0, logger=logging_logger):\n        \"\"\"Return a retry decorator.\n\n        :param exceptions: an exception or a tuple of exceptions to catch. default: Exception.\n        :param tries: the maximum number of attempts. default: -1 (infinite).\n        :param delay: initial delay between attempts. default: 0.\n        :param max_delay: the maximum value of delay. default: None (no limit).\n        :param backoff: multiplier applied to delay between attempts. default: 1 (no backoff).\n        :param jitter: extra seconds added to delay between attempts. default: 0.\n                       fixed if a number, random if a range tuple (min, max)\n        :param logger: logger.warning(fmt, error, delay) will be called on failed attempts.\n                       default: retry.logging_logger. if None, logging is disabled.\n        \"\"\"\n\nVarious retrying logic can be achieved by combination of arguments.\n\n\nExamples\n\"\"\"\"\"\"\"\"\n\n.. code:: python\n\n    from retry import retry\n\n.. code:: python\n\n    @retry()\n    def make_trouble():\n        '''Retry until succeed'''\n\n.. code:: python\n\n    @retry(ZeroDivisionError, tries=3, delay=2)\n    def make_trouble():\n        '''Retry on ZeroDivisionError, raise error after 3 attempts, sleep 2 seconds between attempts.'''\n\n.. code:: python\n\n    @retry((ValueError, TypeError), delay=1, backoff=2)\n    def make_trouble():\n        '''Retry on ValueError or TypeError, sleep 1, 2, 4, 8, ... seconds between attempts.'''\n\n.. code:: python\n\n    @retry((ValueError, TypeError), delay=1, backoff=2, max_delay=4)\n    def make_trouble():\n        '''Retry on ValueError or TypeError, sleep 1, 2, 4, 4, ... seconds between attempts.'''\n\n.. code:: python\n\n    @retry(ValueError, delay=1, jitter=1)\n    def make_trouble():\n        '''Retry on ValueError, sleep 1, 2, 3, 4, ... seconds between attempts.'''\n\n.. code:: python\n\n    # If you enable logging, you can get warnings like 'ValueError, retrying in\n    # 1 seconds'\n    if __name__ == '__main__':\n        import logging\n        logging.basicConfig()\n        make_trouble()\n\nretry_call\n^^^^^^^^^^\n\n.. code:: python\n\n    def retry_call(f, fargs=None, fkwargs=None, exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff=1,\n                   jitter=0,\n                   logger=logging_logger):\n        \"\"\"\n        Calls a function and re-executes it if it failed.\n\n        :param f: the function to execute.\n        :param fargs: the positional arguments of the function to execute.\n        :param fkwargs: the named arguments of the function to execute.\n        :param exceptions: an exception or a tuple of exceptions to catch. default: Exception.\n        :param tries: the maximum number of attempts. default: -1 (infinite).\n        :param delay: initial delay between attempts. default: 0.\n        :param max_delay: the maximum value of delay. default: None (no limit).\n        :param backoff: multiplier applied to delay between attempts. default: 1 (no backoff).\n        :param jitter: extra seconds added to delay between attempts. default: 0.\n                       fixed if a number, random if a range tuple (min, max)\n        :param logger: logger.warning(fmt, error, delay) will be called on failed attempts.\n                       default: retry.logging_logger. if None, logging is disabled.\n        :returns: the result of the f function.\n        \"\"\"\n\nThis is very similar to the decorator, except that it takes a function and its arguments as parameters. The use case behind it is to be able to dynamically adjust the retry arguments.\n\n.. code:: python\n\n    import requests\n\n    from retry.api import retry_call\n\n\n    def make_trouble(service, info=None):\n        if not info:\n            info = ''\n        r = requests.get(service + info)\n        return r.text\n\n\n    def what_is_my_ip(approach=None):\n        if approach == \"optimistic\":\n            tries = 1\n        elif approach == \"conservative\":\n            tries = 3\n        else:\n            # skeptical\n            tries = -1\n        result = retry_call(make_trouble, fargs=[\"http://ipinfo.io/\"], fkwargs={\"info\": \"ip\"}, tries=tries)\n        print(result)\n\n    what_is_my_ip(\"conservative\")",
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