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توضیحات

All in one data compression library.

ویژگی	مقدار
سیستم عامل	-
نام فایل	compress-0.0.3
نام	compress
نسخه کتابخانه	0.0.3
نگهدارنده	['Unknown']
ایمیل نگهدارنده	[]
نویسنده	Sanhe Hu
ایمیل نویسنده	husanhe@gmail.com
آدرس صفحه اصلی	https://github.com/MacHu-GWU/
آدرس اینترنتی	https://pypi.org/project/compress/
مجوز	MIT

.. image:: https://github.com/MacHu-GWU/compress-project/workflows/CI/badge.svg :target: https://github.com/MacHu-GWU/compress-project/actions?query=workflow:CI .. image:: https://codecov.io/gh/MacHu-GWU/compress-project/branch/master/graph/badge.svg :target: https://codecov.io/gh/MacHu-GWU/compress-project .. image:: https://img.shields.io/pypi/v/compress.svg :target: https://pypi.python.org/pypi/compress .. image:: https://img.shields.io/pypi/l/compress.svg :target: https://pypi.python.org/pypi/compress .. image:: https://img.shields.io/pypi/pyversions/compress.svg :target: https://pypi.python.org/pypi/compress .. image:: https://img.shields.io/badge/STAR_Me_on_GitHub!--None.svg?style=social :target: https://github.com/MacHu-GWU/compress-project ------ .. image:: https://img.shields.io/badge/Link-Document-blue.svg :target: http://compress.my-docs.com/index.html .. image:: https://img.shields.io/badge/Link-API-blue.svg :target: http://compress.my-docs.com/py-modindex.html .. image:: https://img.shields.io/badge/Link-Source_Code-blue.svg :target: http://compress.my-docs.com/py-modindex.html .. image:: https://img.shields.io/badge/Link-Install-blue.svg :target: `install`_ .. image:: https://img.shields.io/badge/Link-GitHub-blue.svg :target: https://github.com/MacHu-GWU/compress-project .. image:: https://img.shields.io/badge/Link-Submit_Issue-blue.svg :target: https://github.com/MacHu-GWU/compress-project/issues .. image:: https://img.shields.io/badge/Link-Request_Feature-blue.svg :target: https://github.com/MacHu-GWU/compress-project/issues .. image:: https://img.shields.io/badge/Link-Download-blue.svg :target: https://pypi.org/pypi/compress#files Welcome to ``compress`` Documentation ============================================================================== There's lots of mature data compression algorithm you can choose from, ``compress`` provides **normalized API** to use them and **switch between them**. It supports: From Python Standard library: - `zlib <https://docs.python.org/2/library/zlib.html>`_. - `bz2 <https://docs.python.org/2/library/bz2.html>`_. - `lzma <https://docs.python.org/3/library/lzma.html>`_, high compression ratio but slow From Community (Additional Library Required): - `snappy <https://pypi.python.org/pypi/python-snappy>`_, from Google, lower compression ratio but super fast! (on MacOS, you need to install it via ``brew install snappy``, on Ubuntu, you need ``sudo apt-get install libsnappy-dev``. - `lz4 <https://pypi.python.org/pypi/lz4>`_, lower ratio, super fast! .. note:: some package are not installed along with ``compress``. Because **all of them needs C compiler**, you have to manually install them. If you have trouble installing C compiler for your OS, read `THIS TUTORIAL <https://github.com/MacHu-GWU/Setup-Environment-for-Python-Developer/blob/master/05-FAQ-Failed-to-compile-source-code.rst>`_. Usage:: >>> from compress import Compressor >>> binary_data = ("hello world! " * 100).encode("utf-8") >>> c = Compressor() >>> c.use_gzip() # or use_bz2, use_lzma, use_lz4, use_snappy >>> c.compress(binary_data, zlib_level=9) >>> c.decompress(binary_data) Other API for lazy developer:: >>> import compress >>> compress.compress_bytes_to_bytes >>> compress.compress_str_to_bytes >>> compress.compress_bytes_to_b64str # compress, and returns b64 encoded str >>> compress.compress_str_to_b64str # compress string and returns b64 encoded str >>> compress.decompress_bytes_to_bytes # inverse of compress_bytes_to_bytes >>> compress.decompress_bytes_to_str # inverse of compress_str_to_bytes >>> compress.decompress_b64str_to_bytes # inverse of compress_bytes_to_b64str >>> compress.decompress_b64str_to_str # inverse of compress_str_to_b64str compress_bytes_to_bytes, compress_str_to_bytes, compress_bytes_to_b64str, compress_str_to_b64str, decompress_bytes_to_bytes, decompress_bytes_to_str, decompress_b64str_to_bytes, decompress_b64str_to_str, `This website <https://quixdb.github.io/squash-benchmark/>`_ provides comprehensive comparison and visualization. But how do you know **how it works on your own production environment?**. ``compress`` comes with a tool to run benchmark test for **All test case, All algorithm, All parameters**, and you will get informative stats about ratio, compress/decompress speed in ``.tab`` and ``ascii table`` format. Then You are able to visualize it in the way you preferred. To run benchmark test, just:: $ pip install -r requirements-benchmark.txt $ python ./benchmark/run.py .. _install: Install ------------------------------------------------------------------------------ ``compress`` is released on PyPI, so all you need is: .. code-block:: console $ pip install compress To upgrade to latest version: .. code-block:: console $ pip install --upgrade compress

نیازمندی

مقدار	نام
==1.8.1	sphinx
-	sphinx-rtd-theme
-	sphinx-jinja
-	sphinx-copybutton
>=0.0.17	docfly
>=0.0.5	rstobj
-	pygments
==5.4.3	pytest
==2.10.1	pytest-cov

نحوه نصب

نصب پکیج whl compress-0.0.3:

pip install compress-0.0.3.whl

نصب پکیج tar.gz compress-0.0.3:

pip install compress-0.0.3.tar.gz