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        "author": "Cedric Zhuang",
        "author_email": "jealous@163.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Utilities"
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        "description": "Retry Decorator\n===============\n\n.. image:: https://img.shields.io/travis/jealous/retryz.svg\n    :target: https://travis-ci.org/jealous/retryz\n.. image:: https://img.shields.io/coveralls/jealous/retryz.svg\n    :target: https://coveralls.io/github/jealous/retryz\n.. image:: https://img.shields.io/pypi/v/retryz.svg\n    :target: https://pypi.python.org/pypi/retryz\n\nVERSION: 0.1.9\n\nIntroduction\n------------\n\nFunction decorator that helps to retry the function under certain criteria.\n\nThis package contains the ``retry`` decorator and a bunch of configuration \nparameters for this decorator. \n\nTested on python 2.7 and python 3.4.\n\nFor quick start, check the tutorial section of this page.\nCheck [test_retryz.py](test/test_retryz.py) for detail examples.\n\nInstallation\n------------\n\n``pip install retryz``\n\n\nLicense\n-------\n\n`Apache License version 2`_\n\nTutorial\n--------\n\n- Retry if `ValueError` is caught.\n\n.. code-block:: python\n\n    @retry(on_error=ValueError)\n    def my_func():\n        ...\n\n- Retry if `ValueError` or `TypeError` is caught.\n\n.. code-block:: python\n\n    @retry(on_error=lambda e: isinstance(e, (ValueError, TypeError)))\n    def my_func():\n        ...\n\n- Retry until `TypeError` is caught.\n\n.. code-block:: python\n\n    @retry(on_error=lambda e: not isinstance(e, TypeError))\n    def my_func():\n        ...\n\n- Retry until `TypeError` or `AttributeError` is caught.\n\n.. code-block:: python\n\n    @retry(on_error=lambda e: not isinstance(e, (TypeError, AttributeError)))\n    def my_func():\n        ...\n\n- When ``on_error`` is a callback,\n  it will retry until ``on_error`` returns ``False``.  Note that callback \n  takes one parameter which is the error instance raised by the decorated \n  function.\n\n.. code-block:: python\n\n    def _error_callback(self, ex):\n        assert_that(ex, instance_of(TypeError))\n        return self.call_count != 4\n    \n    @retry(on_error=_error_callback)\n    def error_call_back(self):\n        ...\n\n- Retry if returns certain value.\n\n.. code-block:: python\n\n    @retry(on_return=True)\n    def my_func(self):\n        ...\n\n- Retry if return value in the list.\n\n.. code-block:: python\n\n    @retry(on_return=lambda x: x in (1, 2, 3, 4, 5))\n    def my_func(self):\n        ...\n\n- Retry until certain value is returned.\n\n.. code-block:: python\n\n    @retry(on_return=lambda x: x != 4)\n    def my_func(self):\n        ...\n\n- Retry until any of the value is returned.\n\n.. code-block:: python\n\n    @retry(on_return=lambda x: x not in [3, 4])\n    def my_func(self):\n        ...\n\n\n- When ``on_return`` is a callback, \n  it will retry until ``on_return`` returns ``False``.  Note that callback \n  takes one parameter which is the return value of the decorated function.\n\n.. code-block:: python\n\n    def _return_callback(ret):\n        return 4 + ret < 7\n    \n    @retry(on_return=_return_callback)\n    def my_func(self):\n        ...\n\n- Retry until timeout (in seconds)\n\n.. code-block:: python\n    \n    @retry(timeout=0.1)\n    def my_func():\n        ...\n\n- Retry maximum X times.\n\n.. code-block:: python\n\n    @retry(limit=3)\n    def my_func():\n        ...\n\n    # or you could specify a callback\n    @retry(limit=lambda: 4)\n    def my_func_x():\n        ...\n\n\n- Wait X seconds between each retry.\n\n.. code-block:: python\n\n    @retry(wait=0.1, timeout=0.3)\n    def my_func():\n        ...\n\n\n- When ``wait`` is a callback, it will wait for the amount of\n  seconds returned by the callback.\n  The callback takes one parameter which is the current count of retry.\n\n.. code-block:: python\n\n    def _wait_callback(self, tried):\n        return 2 ** tried\n    \n    @retry(wait=_wait_callback, timeout=0.1)\n    def my_func():\n        ...\n\n\n- ``on_retry`` could be used to specify a callback.  This callback\n  is a function with no parameter.  It will be invoked before each\n  retry.  Here is a typical usage.\n\n.. code-block:: python\n\n    def do_login():\n        # login if not\n        ...\n        \n    @retry(on_retry=do_login, limit=2)\n    def requests(resource_id):\n        ...\n\n\n- ``retry`` could also be called in a functional style.\n  Note that the return value is a function.  If you want to call\n  it, you need to add an extra ``()``.\n\n.. code-block:: python\n\n    def foo():\n        ...\n        \n    retry(foo, limit=3, timeout=5)()\n\n \n\nTo file issue, please visit:\n\nhttps://github.com/jealous/retryz\n\n\nContact author:\n\n- Cedric Zhuang <jealous@163.com>\n\n.. _Apache License version 2: LICENSE.txt",
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