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        "author": "Paul Durivage",
        "author_email": "pauldurivage@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Utilities"
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        "description": "# trythatagain\n\n[![Build Status](https://travis-ci.org/angstwad/trythatagain.svg?branch=master)](https://travis-ci.org/angstwad/trythatagain)\n\nThis provides decorators for super simple function/method call retries when an exception is raised.\n\n## Installation\n\n```bash\npip install trythatagain\n```\n\n## Examples\n\nHere's a simple use case: querying the AWS API, knowing you might hit API limits.\n\n```python\nfrom trythatagain import retry\n\n@retry\ndef find_ebs_volumes(unattached=True, no_snapshots=True):\n    ...\n\ntry:\n    find_ebs_volumes()\nexcept CaughtException as e:\n    print('Failed to list EBS volumes')\n    print(e.__cause__)\n```\n\nThis will retry calling `func` three times.  If was not successful in calling the function without an exception, it will re-raise the exception as `CaughtException`, with the original exception available at the attribute `__cause__`.\n\nRetry as many times as times as necessary:\n\n```python\nfrom trythatagain import retry\n\n@retry(retries=5)\ndef try_five_times():\n    raise Exception('This always fails')\n\n@retry(retries=0)\ndef retry_forever():\n    raise Exception('Terrible waste of CPU cycles')\n```\n\nRaise immediately on specific exceptions:\n\n```python\n@retry(raise_for=ValueError)\ndef update_cache():\n    ...\n```\n\nSuppress re-raising exceptions:\n\n```python\n@retry(reraise=False)\ndef reload_user_data():\n    ...\n```\n\nThere's also exponential and linear backoff retries things like cooling down after hitting API limits.  In fact, AWS recommends exponential backoff to deal with API limits.\n\n```python\n# waits 1 second, then 4, then 9, etc.\n@retry_exp_backoff(unit=MILLISECONDS)\ndef update_instance_tags():\n    ...\n\n@retry_linear_backoff(unit=SECONDS)\ndef scrape_url():\n    ...\n```\n\nCustom wait functions are also possible:\n\n```python\ndef fixed(i, unit):\n    time.sleep(5 * unit)\n\n@retry(wait_func=fixed, unit=MILLISECONDS)\ndef func():\n    ...\n```\n",
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        "name": "trythatagain",
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        "summary": "Decorators for functions that you wish to retry",
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