Skip to main content

Arabic language processing toolkit

Project description

example workflow example workflow PyPI version License

Arabic Natural Language Toolkit (ANLTK)

ANLTK is a set of Arabic natural language processing tools. developed with focus on simplicity and performance.

ANLTK is a C++ library, with python bindings.

Installation

for python :

pip install anltk

Building

Note: Currently only tested on Linux, prebuilt python wheels are available for Linux, Windows, Macos on pypi

Dependencies:

  • utfcpp, automatically downloaded.
  • utf8proc, automatically downlaoded.
  • C++ Compiler that supports c++17.
  • Python3, meson, ninja
pip install meson
pip install ninja
git clone https://github.com/Abdullah-AlAttar/anltk.git \
    && cd anltk/ \
    && meson build --buildtype=release -Dbuild_tests=false \
    && cd build \
    && ninja \
    && cd ../ \
    && pip install -e .

Usage Examples:

C++ API :

#include "anltk/anltk.hpp"
#include <iostream>
#include <string>

int main()
{

    std::string ar_text = "أبجد هوز حطي كلمن سعفص قرشت ثخذ ضظغ";

    std::cout << anltk::transliterate(ar_text, anltk::CharMapping::AR2BW) << '\n';
    // >bjd hwz HTy klmn sEfS qr$t vx* DZg

    std::string text = "فَرَاشَةٌ مُلَوَّنَةٌ تَطِيْرُ في البُسْتَانِ، حُلْوَةٌ مُهَنْدَمَةٌ تُدْهِشُ الإِنْسَانَ.";

    std::cout << anltk::remove_tashkeel(text) << '\n';
    // فراشة ملونة تطير في البستان، حلوة مهندمة تدهش الإنسان.

    // Third paramters is a stop_list, charactres in this list won't be removed
    std::cout << anltk::remove_non_alpha(text, " ") << '\n';
    // فراشة ملونة تطير في البستان حلوة مهندمة تدهش الإنسان

    anltk::TafqitOptions opts;
    std::cout<< anltk::tafqit(15000120, opts) <<'\n';
    // خمسة عشر مليونًا ومائة وعشرون
}

Python API

import anltk


ar = "أبجد هوز حطي كلمن سعفص قرشت ثخذ ضظغ"
bw = anltk.transliterate(ar, anltk.AR2BW)
print(bw)
# >bjd hwz HTy klmn sEfS qr$t vx* DZg

print(anltk.remove_tashkeel("فَرَاشَةٌ مُلَوَّنَةٌ تَطِيْرُ في البُسْتَانِ، حُلْوَةٌ مُهَنْدَمَةٌ تُدْهِشُ الإِنْسَانَ."))

# فراشة ملونة تطير في البستان، حلوة مهندمة تدهش الإنسان.

print(anltk.tafqit(15000120))
# خمسة عشر مليونًا ومائة وعشرون

For list of features see Features.md

Benchmarks

Processing a file containing 500000 Line, 6787731 Word, 112704541 Character. the task is to remove diacritics / transliterate to buckwalter

Buckwatler transliteration

Method Time
anltk python-api 1.379 seconds
python camel_tools 11.46 seconds

Remove Diacritics

Method Time
anltk python-api 0.989 seconds
python camel_tools 4.892 seconds

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anltk-1.0.3.tar.gz (163.9 kB view details)

Uploaded Source

Built Distributions

anltk-1.0.3-pp39-pypy39_pp73-win_amd64.whl (169.5 kB view details)

Uploaded PyPy Windows x86-64

anltk-1.0.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (261.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

anltk-1.0.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (230.4 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

anltk-1.0.3-pp38-pypy38_pp73-win_amd64.whl (169.7 kB view details)

Uploaded PyPy Windows x86-64

anltk-1.0.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (261.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

anltk-1.0.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (230.5 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

anltk-1.0.3-pp37-pypy37_pp73-win_amd64.whl (169.4 kB view details)

Uploaded PyPy Windows x86-64

anltk-1.0.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (262.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

anltk-1.0.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (230.0 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

anltk-1.0.3-cp311-cp311-win_amd64.whl (170.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

anltk-1.0.3-cp311-cp311-musllinux_1_1_x86_64.whl (778.3 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

anltk-1.0.3-cp311-cp311-musllinux_1_1_i686.whl (841.9 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

anltk-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (263.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

anltk-1.0.3-cp311-cp311-macosx_10_9_x86_64.whl (230.2 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

anltk-1.0.3-cp310-cp310-win_amd64.whl (169.8 kB view details)

Uploaded CPython 3.10 Windows x86-64

anltk-1.0.3-cp310-cp310-musllinux_1_1_x86_64.whl (777.9 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

anltk-1.0.3-cp310-cp310-musllinux_1_1_i686.whl (842.0 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

anltk-1.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (263.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

anltk-1.0.3-cp310-cp310-macosx_10_9_x86_64.whl (230.3 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

anltk-1.0.3-cp39-cp39-win_amd64.whl (166.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

anltk-1.0.3-cp39-cp39-musllinux_1_1_x86_64.whl (778.0 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

anltk-1.0.3-cp39-cp39-musllinux_1_1_i686.whl (842.3 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

anltk-1.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (263.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

anltk-1.0.3-cp39-cp39-macosx_10_9_x86_64.whl (230.4 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

anltk-1.0.3-cp38-cp38-win_amd64.whl (169.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

anltk-1.0.3-cp38-cp38-musllinux_1_1_x86_64.whl (777.8 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

anltk-1.0.3-cp38-cp38-musllinux_1_1_i686.whl (842.5 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

anltk-1.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (263.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

anltk-1.0.3-cp38-cp38-macosx_10_9_x86_64.whl (230.2 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

anltk-1.0.3-cp37-cp37m-win_amd64.whl (168.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

anltk-1.0.3-cp37-cp37m-musllinux_1_1_x86_64.whl (782.5 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

anltk-1.0.3-cp37-cp37m-musllinux_1_1_i686.whl (854.9 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

anltk-1.0.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (274.1 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

anltk-1.0.3-cp37-cp37m-macosx_10_9_x86_64.whl (225.4 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

anltk-1.0.3-cp36-cp36m-win_amd64.whl (168.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

anltk-1.0.3-cp36-cp36m-musllinux_1_1_x86_64.whl (782.0 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

anltk-1.0.3-cp36-cp36m-musllinux_1_1_i686.whl (854.6 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

anltk-1.0.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (273.8 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

anltk-1.0.3-cp36-cp36m-macosx_10_9_x86_64.whl (225.1 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file anltk-1.0.3.tar.gz.

File metadata

  • Download URL: anltk-1.0.3.tar.gz
  • Upload date:
  • Size: 163.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anltk-1.0.3.tar.gz
Algorithm Hash digest
SHA256 62e5b802278e36ccd3550e23b995109117b5c43f7a2c202c4b35485f4638c683
MD5 9e3e42f4ffe5b4a268f2a2076379df7b
BLAKE2b-256 8674d84e29bcb3ade2698686c2e4d4ca285930269fb0a9fbd834637504a1a627

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 d5ab784e444b7c32ed9337dcf279a00b2eae662d6a776dbfe1ab64d4abcecd76
MD5 90fbb2a70d9e03036be58604073f76a7
BLAKE2b-256 b2f32fed607b8d22521fbd2f058613e23f7d6b3c7d703018511c675bce2e2ccf

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8785d3d41ca8e65eba0fe63724baec1543187f4bd5eea8288fd7ab5328e0dd83
MD5 9feea39dfd9eea4b9e4accde7b27c6ff
BLAKE2b-256 9d89ece559384c4a66609bc3a302a5c1154b14ffb66caf778b6ab72bcffe57eb

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b5827dc226475b1411652ab71cb76335843fd9e60bf7050f11a7c5c5614f70f3
MD5 ecd01876548c512459229e5f7bf9d071
BLAKE2b-256 8c3d33e8a2a14ef5d141e7b4aaa5973d10a9682fbc09327cb126ddc68d3a13d0

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 955ae88482e325d0f8dac780811319b31cd8ad88831c646b4da39b072151159a
MD5 8840bf613702fe47ffd5323237902864
BLAKE2b-256 6699242652c9da0fd58353cf3d743ba85af6f3c5b984524e14058aa70abe8f7e

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 da539e1759e58c41d7dddb765e73ad93ed3e005508a38f3bf9eed1729981d003
MD5 946b838b19c7efaf076007cc7da176a7
BLAKE2b-256 3b4db781f9c28390953132480a603ecef800676684ddac6c44364e1bbfbed9f3

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cc44f0c14b6a726d5ef983c9745ed1c429145ba049ee1859c150dddf4be8dbbb
MD5 a2fba4a38f76021d269568962d7a271c
BLAKE2b-256 09c1ce5f7d60fe1fd381b21cd1cadf7e4f5b23dab4eb91603fceaaa29d2a6aa3

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 d3e38418907feec5e9dc69f9493b555ad42a5d3d477badf2dcd965ee41569ffb
MD5 7112e831249e48ca1d32ef673856209b
BLAKE2b-256 529daa61e6ad48bc8f1c8ab1aecfe53049101108d088379821212d2d403a67b2

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6489c585a06bb20f885a7dc07493aad2d4bab830311be4fc43edb877da705f57
MD5 8cc967aae1650e5389165dae7650c14f
BLAKE2b-256 ce055b6cde2aa7e75516a599b7af80f466d794f198ee6c9fe98df0a3de875730

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f26734b409d306b7b5132ab321edca2be1c3fad11aeb0cf7fb142e9fe3203a3f
MD5 8cd85cbe1014346f4ad2cfdaf8d51fed
BLAKE2b-256 46564d5be90f2ce287f554daca952de47025614ea16481052438c8c4f5c9b876

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: anltk-1.0.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 170.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anltk-1.0.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 cec81d44bd1f833390d196f4716ad533056e05c1120d15fb65d22bb7f3ef5b44
MD5 088e20f06dea630897d481c625ba65ba
BLAKE2b-256 56d1cebce6ba9dd40b8982311772666357310cdbb61b2b546534c08afe8a73b4

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a6309ea85a4c452647fb9f5bfac86619ef825ea1bf878009151d78ed346d9227
MD5 2e53a6745ea609433cfb0b1683cab161
BLAKE2b-256 00da70f97412003d4c00fb77f04256ec138ae1413c48be6c9a050c9bfb60c656

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8eaab6995a4308572dfbb6b543c1f42459284488f71bf60a570b9845a9f70bdc
MD5 f03aac10b2dc281b69bac4e165d73a23
BLAKE2b-256 859e8e46ae91ed7122d2c7726197748a8f63ec60affea917b47ad479b50ea1f3

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6ec48f5f326fd4d29dabeec7ec3f487e588c07fb4275f9244d5b0968f0a13483
MD5 ceec13b273a9840fd34c72208b687ddf
BLAKE2b-256 f1a68d94e97890cfbac271b69efe78e7348371d12ade738072c6b636d8834c5c

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 02ed345b00fd85c0dade434b5e1d3b559e5a147ee5fa404096a73eb279158472
MD5 cf4ba4627edbef360cfaab63ef4b5f15
BLAKE2b-256 aba0bcd20a0d3ca33c328342c0739c277727cf9c646627b5b69c4aabdedcf484

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: anltk-1.0.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 169.8 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anltk-1.0.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3472fee954845ff1d65c5900c9f21a813635451d4fe360aa2e2a7ff4ea69c11e
MD5 2bf608a8a8cef034c34f41a1a89ed51c
BLAKE2b-256 19df95ca8245b6aa834ee009be2ff1c87a9f6abe05af8d3a0ac296ae07bac55d

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b665f2068d763149069a36ee628537262af3c8c5b10cde0f361ba921246de75b
MD5 3c385bf57ef92cb9c6e8118dd4add0b1
BLAKE2b-256 33eddb7e5b9a26c1b0618cfae0bdebba1ff2fa791e9e8ecb89e998327f7b8697

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 9e047f3d358ea27002c05ddeefa8c7214d29e748dc1f8b7b91c08e60ee782df3
MD5 5d132357f0843d26b7d8603fbfad43ac
BLAKE2b-256 1445649e0161e02e98b938a042303e9d0b11a68c15fe13e5d06afafbf289e249

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b74978569e0dc89695fde922f15e74e0f08242a2e25702816dd4af77f4b37b13
MD5 17a7717505ea48806fc0e53bbfaf7b2d
BLAKE2b-256 481660cb4cc339bcf74cb15647c9ee708e8a8d3edcf526919bc7aee27afe92ac

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1661e1e3fb87ba87ea2606b6c56696796bbb5e4e3fb31f16ce1e948293a62026
MD5 0b363df51ea3480c2c6ec410079f5652
BLAKE2b-256 99c85690484cd7b6ed082e225f387c57b92a85f1dc4536c82ba649c44d07055c

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: anltk-1.0.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 166.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anltk-1.0.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fa54d53d309cf39f6a65bda40caacf634d7cddb38d389bc03869911b47b047d5
MD5 486ac2fbe4d20ddb0845dfbdccd6d987
BLAKE2b-256 05c5841bab4a6ef58a0142b5f2bcfe28ac0d569d7e27f8c595c7a5a3db78452f

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 aaea6290add7de9037fc5df1007d776ec66e87fdc934918f10489d3e3c3fefdc
MD5 33baa6cc9bb7a70302775d9b4059e8a2
BLAKE2b-256 144d76071fd2fbb638b3f7d07b134146f5c03c4aba84fc01304eaf9f358ca1ca

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 1a3d690147f4e7b25ae704a4d2772691ac381e44305e1772341d7c2e54e04a8f
MD5 009b3fa464815f7f3899fb4347782735
BLAKE2b-256 f131336e195be9ffe0f19ba3ed4ac7c1061893fa117c0d1884aea481ae2b58f9

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 032e65f197af94783bfd6e9b9ad17bef66c137212b182ed63911265693988358
MD5 d4fa9d343ba981a771731bfd4b3245dd
BLAKE2b-256 7e42c5bdf4aad9d6ae8527130d7b85b7fff7c2f4649a643f199bd3191f2a87ae

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fa462767bbb1d6104ebfc554f3973cac30d4a361c855e6f45652ec8e07c338a4
MD5 b863d79f9c2afba6be222cad6ce28a47
BLAKE2b-256 0ef5d786eb34b43448dfbd65d9fd1f098a7c426edaf39ac937ac148b07cef12f

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: anltk-1.0.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 169.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anltk-1.0.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d4e89bc12ef2b75e3fa7aa2146474234d9b93d66e57ea40f408ef77449afbb7e
MD5 71dfa3498c40376b1415b323c9d8ed69
BLAKE2b-256 fdeb06be691d446150a2a4d7b1d104f371bd8684be04ce9693a5024e56baa79b

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5e098ea74af40cbe868b3497ff03a330a6d1013209a8d4ad7005a7f240dc4eab
MD5 48e7d612627010b73096d56847f58c33
BLAKE2b-256 70d2b983e74bea68f13ca88baa16692f293b3aebc7903905a8856a7b3063e46b

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 3cf85f1da4864b3785568e35ce8cf9234ba6c0b5a93d1856ea2590fbd3d5fa07
MD5 7ea641d8ad2f47f84f9a5c063fcdf2e0
BLAKE2b-256 595e0faf25db221b45ac1f4441874a6aec1bf6af1f8780faf55275a342e3d72e

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d47daf444c33600731b474f9bb7142f144a5c9ed36566d57644af9ba851f9f20
MD5 0d7c239d47f86b2c14f9a82c3b9394f9
BLAKE2b-256 e58b21218315a04952182680b4d6c0c7e8501b07462046c2d085e9f52587d305

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a583b9074f8a35c9bcba2fb01a3f4ddd0aa4fa58cfa776cfce6b0ab6a19a2e03
MD5 b7c4118c73d7f3240b657487c9d7a9c2
BLAKE2b-256 1f02c3a7df761b24aed67507fa94cd3099d764a6a13a23289ba667f4b14f483f

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: anltk-1.0.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 168.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anltk-1.0.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 05c3e7f25f8c65c867abddc9ef9367ca5bca967029a5b2733bd00eaf995b2395
MD5 743ddd8d5222ab4cef8e51c17e04028b
BLAKE2b-256 66b60d60dc1be8c74b56705e64c8bed74cc8fef60dd4a1709e4e18f2a2afbcc4

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a7ef70302e52d451eaa8bc19b7c8bddd3532301880aa99f0bac042f3b13c0fc1
MD5 16185421b2468ebf42a026b2167aee25
BLAKE2b-256 22fc828017de827701955574d7f9b7bd30c1c3638dbf694da41c29a600dd229b

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 a0fff95e44fc351932111955ca99021de740fa02b6c3ebde338c5dc6f8d7f5a6
MD5 8c82ee48954010eafd3a85bece5c073e
BLAKE2b-256 a2f60382c4067183dc731110e1be122230f550379237f67680c7e45cd7c10469

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83e1b64e6d6af5a47c23fd4035ad9070c3d1417a1b3bd8531dc1c816474e5563
MD5 0e52fab5958852a1322612258ba02ca5
BLAKE2b-256 52bee7634471d430d470948bc83b09138caa92f1186a4944c9d16b30160645ea

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5f08db2132fd9f2b67d3e81dd7373d6d782581ab1cf321a8638c2408e655c1e0
MD5 9a958203760df76ef127b2da5004755a
BLAKE2b-256 08359dfc322f23d0c654ffabd7307796f4e00e2913d25a6384f4583d1a3a24fd

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: anltk-1.0.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 168.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anltk-1.0.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6099f8eea06e41ea3e04fa96e3dab9053e606a7e6618376454fae28f2c092350
MD5 bf39099996c1466ecabb6a61ed312dec
BLAKE2b-256 abe736c70c7447821c17b4e6ddc962632d9ba1d81f1f1bb1dc6978cb3612f6ab

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 12a0bc6a518b6624fce6f6ff08a2e5fa743f01d746a19cd00cd7b360693883a9
MD5 934cbc9f1e85f1868a02d0b7817f4590
BLAKE2b-256 c0bb7e7d02679f9d04dfa422c78a6e84765ecb98a404ff3aaac86d6c4a027cee

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 aab208e84a13bbfa298fcc7b665c83fb0034e2fe9f78ed91b25b0c20ff7b6627
MD5 e53042b7bd4aea809ebc9f4cc7b43b85
BLAKE2b-256 63e90a6a2ffab3aebfc44ce0d7fbd26fff8998251e445e74b2c4598f504e615e

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b4d023df08fd9ec62346fba894f78c964301ee2c0625e7ee161fbe38759c528
MD5 7ea046525dcf1d97eec76d7dd68ce1b8
BLAKE2b-256 4fc12af60bb2f37dba80b736eec4fd60072ad997f423de53afa062a0d0fb3d1b

See more details on using hashes here.

File details

Details for the file anltk-1.0.3-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for anltk-1.0.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dca98681d406ddf637f2cf3b0edea15eb3e8cc910a649a50e719eae40c568525
MD5 3d1ac11517488852e163c5e8e0bca11f
BLAKE2b-256 ebaece77ec949cf42d0f80cf0601798789403c5581392e4f55a2aaba26645a81

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page