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            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
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            "Programming Language :: Python :: 2.7",
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            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
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        "description": "# cloudpickle\n\n[![Build Status](https://travis-ci.org/cloudpipe/cloudpickle.svg?branch=master\n    )](https://travis-ci.org/cloudpipe/cloudpickle)\n[![codecov.io](https://codecov.io/github/cloudpipe/cloudpickle/coverage.svg?branch=master)](https://codecov.io/github/cloudpipe/cloudpickle?branch=master)\n\n`cloudpickle` makes it possible to serialize Python constructs not supported\nby the default `pickle` module from the Python standard library.\n\n`cloudpickle` is especially useful for **cluster computing** where Python\ncode is shipped over the network to execute on remote hosts, possibly close\nto the data.\n\nAmong other things, `cloudpickle` supports pickling for **lambda functions**\nalong with **functions and classes defined interactively** in the\n`__main__` module (for instance in a script, a shell or a Jupyter notebook).\n\nCloudpickle can only be used to send objects between the **exact same version\nof Python**.\n\nUsing `cloudpickle` for **long-term object storage is not supported and\nstrongly discouraged.**\n\n**Security notice**: one should **only load pickle data from trusted sources** as\notherwise `pickle.load` can lead to arbitrary code execution resulting in a critical\nsecurity vulnerability.\n\n\nInstallation\n------------\n\nThe latest release of `cloudpickle` is available from\n[pypi](https://pypi.python.org/pypi/cloudpickle):\n\n    pip install cloudpickle\n\n\nExamples\n--------\n\nPickling a lambda expression:\n\n```python\n>>> import cloudpickle\n>>> squared = lambda x: x ** 2\n>>> pickled_lambda = cloudpickle.dumps(squared)\n\n>>> import pickle\n>>> new_squared = pickle.loads(pickled_lambda)\n>>> new_squared(2)\n4\n```\n\nPickling a function interactively defined in a Python shell session\n(in the `__main__` module):\n\n```python\n>>> CONSTANT = 42\n>>> def my_function(data):\n...    return data + CONSTANT\n...\n>>> pickled_function = cloudpickle.dumps(my_function)\n>>> pickle.loads(pickled_function)(43)\n85\n```\n\nRunning the tests\n-----------------\n\n- With `tox`, to test run the tests for all the supported versions of\n  Python and PyPy:\n\n      pip install tox\n      tox\n\n  or alternatively for a specific environment:\n\n      tox -e py37\n\n\n- With `py.test` to only run the tests for your current version of\n  Python:\n\n      pip install -r dev-requirements.txt\n      PYTHONPATH='.:tests' py.test\n\n\nNote about function Annotations\n-------------------------------\n\nNote that because of design issues `Python`'s `typing` module, `cloudpickle`\nsupports pickling type annotations of dynamic functions for `Python` 3.7 and\nlater.  On `Python` 3.4, 3.5 and 3.6, those type annotations will be dropped\nsilently during pickling (example below):\n\n```python\n>>> import typing\n>>> import cloudpickle\n>>> def f(x: typing.Union[list, int]):\n...     return x\n>>> f\n<function __main__.f(x:Union[list, int])>\n>>> cloudpickle.loads(cloudpickle.dumps(f))  # drops f's annotations\n<function __main__.f(x)>\n```\n\nHistory\n-------\n\n`cloudpickle` was initially developed by [picloud.com](http://web.archive.org/web/20140721022102/http://blog.picloud.com/2013/11/17/picloud-has-joined-dropbox/) and shipped as part of\nthe client SDK.\n\nA copy of `cloudpickle.py` was included as part of PySpark, the Python\ninterface to [Apache Spark](https://spark.apache.org/). Davies Liu, Josh\nRosen, Thom Neale and other Apache Spark developers improved it significantly,\nmost notably to add support for PyPy and Python 3.\n\nThe aim of the `cloudpickle` project is to make that work available to a wider\naudience outside of the Spark ecosystem and to make it easier to improve it\nfurther notably with the help of a dedicated non-regression test suite.\n\n\n",
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