pyppmd

PPMd compression/decompression library

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Project description

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Introduction

pyppmd module provides classes and functions for compressing and decompressing text data, using PPM(Prediction by partial matching) compression algorithm which has several variations of implementations. PPMd is the implementation by Dmitry Shkarin.

The API is similar to Python’s bz2/lzma/zlib module.

Some parts of th codes are derived from 7-zip, pyzstd and ppmd-cffi.

Development status

A development status is considered as Alpha.

Copyright

Some part of this library uses codes from following software.

ppmd-cffi Copyright (C) 2020-2021 Hiroshi Miura
pyzstd Copyright (C) 2020-2021 Ma Lin
7-Zip Copyright (C) 1999-2017 Igor Pavlov

License

This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA

Project details

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Release history Release notifications | RSS feed

1.1.0

Nov 5, 2023

1.1.0rc1 pre-release

Nov 4, 2023

1.0.0

Aug 2, 2022

1.0.0rc3 pre-release

Jul 30, 2022

1.0.0rc1 pre-release

Jul 28, 2022

0.18.3

Jul 2, 2022

0.18.2

Apr 1, 2022

0.18.1

Mar 25, 2022

0.18.0

Mar 12, 2022

0.17.4

Mar 9, 2022

0.17.3

Nov 3, 2021

0.17.1

Oct 14, 2021

0.17.0

Oct 3, 2021

0.16.1

Aug 18, 2021

0.16.0

Aug 16, 2021

0.15.2

Jul 25, 2021

0.15.1

Jul 8, 2021

0.15.0

Apr 29, 2021

0.14.0

Apr 26, 2021

This version

0.13.0

Apr 22, 2021

0.12.1

Apr 20, 2021

0.12.0

Apr 19, 2021

0.11.1

Apr 15, 2021

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MD5	`6463195d039fc8c685b014a65be3eaea`
BLAKE2b-256	`6fb2a9dcb47340fce11cb0239d04b868667f301972d32f03100ff07b7ebec48b`

Hashes for pyppmd-0.13.0-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pyppmd-0.13.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`1a78ead09b9d5a28e8f73324900d337f1682fe7d167fa37893df7503278b8233`
MD5	`d8bf2fb914f859435bbf50380a4dfe3c`
BLAKE2b-256	`28a6c8eddda22fc422af6e52734c96bdce944091fdf3ae4c9989138367d45331`

Hashes for pyppmd-0.13.0-cp36-cp36m-win_amd64.whl

Hashes for pyppmd-0.13.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`bbc6386451c17fe44e83a02fe29b404766320db35df6bbb7d6023e434ca383a1`
MD5	`73b8a921172f6e5df06a0f88cc7bf719`
BLAKE2b-256	`8e1f4f7b6ef4d94efe2dd45b95f0dba6a767d33b4645ba9ba3f9dbff11af6f07`

Hashes for pyppmd-0.13.0-cp36-cp36m-win32.whl

Hashes for pyppmd-0.13.0-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`06a8c2dfa9b90eba20aa71e1bdadb751c35c518ccf0eda17843fbfb44fd3971d`
MD5	`ec0352f57495e382e9a7b8297a80582f`
BLAKE2b-256	`d97f19721bc9805bc6b4430d2e7de73b074f7b49af4c1fd17315ac848a01abbf`

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux2014_x86_64.whl

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`cfc3bdc72c4d92f35e01f1e56f4195a378102e105e9f880e872cfe376d43e1ab`
MD5	`cb563aa701e1dcba06fe953be9fd4472`
BLAKE2b-256	`c432a7b038e56d843c63fff6b28a40e547630d28116e7edddf17c57f19a8f2ce`

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux2014_aarch64.whl

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`357698544826300a0bc930edc7796901638fdbff7465cc4a13529e99ba7b1f25`
MD5	`f05f7de4aea4066329b6ef352be04554`
BLAKE2b-256	`7b617763c1c96c18cab4399218a0fe735b5997c8988d2bee29aca7225e6a562a`

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux1_x86_64.whl

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`c10ecc4d4d8c4228aac62fb5e830471d5a5bf99962abca7a97e45b1baa2aba07`
MD5	`4c6d8956841059456379b2a023d634c4`
BLAKE2b-256	`f96c4314dfd0b6fe04c16f36053f5a13fc4903adf0cfc620152d4cd2d803dc50`

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux1_i686.whl

Hashes for pyppmd-0.13.0-cp36-cp36m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`bc2ac1cff109337d7505b61bf305a2e6b21083c92dc2f592abc30e607b4f4f37`
MD5	`c1f6f00ea038beccad65d98e7aca3b78`
BLAKE2b-256	`4aa0eacc87cf6ba9e756d75cfb1920add8fad85111637c09edda783d80c10e78`

Hashes for pyppmd-0.13.0-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for pyppmd-0.13.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`a16c938747650e29f727c42a2256772a62aace5ff665cc8983aa3ddbf9990fca`
MD5	`651cf830555a6dbf85940a7c3a088b11`
BLAKE2b-256	`88fcf459e193de2819411df579f5a9ca66a9b521546a616eafc193101f4f7351`