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        "author": "Luciano Paz",
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        "description": "# `compress_pickle`\n### Standard python pickle, thinly wrapped with standard compression libraries\n\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![Build Status](https://travis-ci.org/lucianopaz/compress_pickle.svg?branch=master)](https://travis-ci.org/lucianopaz/compress_pickle)\n[![Coverage Status](https://coveralls.io/repos/github/lucianopaz/compress_pickle/badge.svg?branch=master)](https://coveralls.io/github/lucianopaz/compress_pickle?branch=master)\n[![PyPI](https://img.shields.io/pypi/v/compress_pickle.svg)](https://pypi.org/project/compress-pickle/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-purple.svg)](https://opensource.org/licenses/MIT)\n\nThe standard [pickle package](https://docs.python.org/3/library/pickle.html) provides an excellent default tool for serializing arbitrary python objects and storing them to disk. Standard python also includes broad set of [data compression packages](https://docs.python.org/3/library/archiving.html). `compress_pickle` provides an interface to the standard `pickle.dump` and `pickle.load` functions, but wraps them in order to direct the serialized data through one of the standard compression packages. This way you can seemlessly serialize data to disk in a compressed way.\n\n`compress_pickle` is built and tested in python >= 3.5\n\nSupported compression protocols:\n- [gzip](https://docs.python.org/3/library/gzip.html)\n- [bz2](https://docs.python.org/3/library/bz2.html)\n- [lzma](https://docs.python.org/3/library/lzma.html)\n- [zipfile](https://docs.python.org/3/library/zipfile.html) (Note that python3.6 and higher allows to build a file-like buffer into the zip archive, which allows us to use less memory than in python3.5)\n\nPlease refer to the [package's documentation](https://lucianopaz.github.io/compress_pickle/html) for more information\n\n\n",
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