Skip to main content

Tokenize Chinese characters

Project description

jieba_pyfast

A Chinese text segmentation module, from jieba_fast, with wheels for python3.9 & python3.10

Installation

You can install the latest stable version via:

$ pip install jieba_pyfast

Main Functions

For details, see https://github.com/fxsjy/jieba

Usage

>>> import jieba_pyfast as jieba
>>> jieba.lcut('下雨天留客天留我不留')
['下雨天', '留客', '天留', '我', '不留']

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

jieba_pyfast-3.13.3-cp313-cp313-musllinux_1_2_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

jieba_pyfast-3.13.3-cp313-cp313-musllinux_1_2_i686.whl (5.1 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ i686

jieba_pyfast-3.13.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

jieba_pyfast-3.13.3-cp313-cp313-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl (5.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

jieba_pyfast-3.13.3-cp312-cp312-musllinux_1_2_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

jieba_pyfast-3.13.3-cp312-cp312-musllinux_1_2_i686.whl (5.1 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ i686

jieba_pyfast-3.13.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

jieba_pyfast-3.13.3-cp312-cp312-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl (5.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

jieba_pyfast-3.13.3-cp311-cp311-musllinux_1_2_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

jieba_pyfast-3.13.3-cp311-cp311-musllinux_1_2_i686.whl (5.1 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ i686

jieba_pyfast-3.13.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

jieba_pyfast-3.13.3-cp311-cp311-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl (5.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

File details

Details for the file jieba_pyfast-3.13.3-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d491ff6ff90d9ec5c758e33cf4d8ba5c449766b6f051327286ba874b8cb8e95d
MD5 a5f4905a3c8dd5911fa703e0fe8387b7
BLAKE2b-256 c0f7fc0ba47e4ff51c4058b0eb8a3b0e182dee20bfdea150608029e18a339b97

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp313-cp313-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp313-cp313-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 73c6ab9cea89a398e3a2a6ecfbab86bc4d4dfef9e455e2c3a7f23b33dcb2c4ef
MD5 63b2694329fea19571f33a59df9f9f9f
BLAKE2b-256 76a9152bf558615857bc42b69c6f6cb8f337fb8bc3633d9d4c58cdedd24dc9d7

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fd391400fffb1f56e8d4b5cecba748c1127aa8be09ba872ab8f6edd5b9630d59
MD5 d6adc4632c35cdc458d72d7d92b7283d
BLAKE2b-256 e2f94d9d05937774a301c6caa55df78db2122226287178f6197fb2802e07b3fe

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp313-cp313-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp313-cp313-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9c3fa571830e78ce9262a753101b76cf39ea0b5ed6514a4187a016c614c63a0c
MD5 752474ceb343f0179aadd2bc73a54ed8
BLAKE2b-256 3a076dd77c9d09ba0d8bc97282d40a63115059f81e12d42b09c2a03e40ba7926

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 9d558e2138edeebeffdbf3cb12052614f20d4d2c59333974e2543d75f29efbd0
MD5 a14c9aa113c51f1a9b3376d8471cb22c
BLAKE2b-256 9f3e8187bc0fc7a07a3ad40865c76675ae85e38c7165500a33ce68e874fefb71

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 24ad989e8a4e45e31a40039fd2032be18b88612f46c2cc7ebaca1db271914410
MD5 f3ec32ff2046d14ca9e82861c7aa91f0
BLAKE2b-256 e8232bde89088855033a0e612664fb12f11544f3561d94f11e96c249efefefb3

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5be4824d1f3284dc5db2fafa2488cd084357f9934295b89a3d6fe6d994bdb675
MD5 d1be3d08b423a5750ea723d58fa81dd2
BLAKE2b-256 7b1a9d9dbc7d3b8e06b3f8a69b9316258dd866db6e75ccaed1de3a03b9af76d7

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp312-cp312-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp312-cp312-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fa40bd7fdc708a0777900f5f345e1654334796687dd6494161c3ecde68981085
MD5 4daef58d554f3a8070ca77c05e59e8cb
BLAKE2b-256 ec91e2f350b60c75b930007bf4d5503fa4a6b1139d930d01142b89eedaf2045f

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 107145c52d05cae3815cc92b8a40753d78f94364054e9206023e96096890f5b3
MD5 03bf8f8d8e39e2c6c4c28c9354ee2db3
BLAKE2b-256 bd13f615cf6ba7c80fbc5001f64351c580a0f15cf6cad7c40d7a75a2a671f1d3

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 035b804838729fd139501e8d1322fe2aac13302a9b6bbc6de43a990059965c38
MD5 544d6a46e08d7e7d86bcd63bb3cbe432
BLAKE2b-256 f7e81fee869f5c86903af830d23d4adc05b686a4fa133b0ab9229511d3c45f5a

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f31eb87c2d7c4ed7bfb87c9bee2651f96bd2253e093184f87f8094540e241f89
MD5 1ad0a0fc520c486c1068ee388e5714d3
BLAKE2b-256 68e1fd50e1f620c9e60dea6da15f316cb7e4f4c85825abb2809173c4484a6117

See more details on using hashes here.

File details

Details for the file jieba_pyfast-3.13.3-cp311-cp311-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jieba_pyfast-3.13.3-cp311-cp311-manylinux_2_17_i686.manylinux_2_5_i686.manylinux1_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6da107ec8481aa6037b0dc28df5cf8f4643aa81b0d6923edbb280f6c554cf6e6
MD5 e494ca365addb13a0de82c83c0b759ac
BLAKE2b-256 2ca7f4edb88ebe7c41c9a031183c84f70d4a5391131665cf035c85b287fb503a

See more details on using hashes here.

Supported by

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