-
Notifications
You must be signed in to change notification settings - Fork 10.2k
/
setup.py
74 lines (69 loc) · 2.36 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
# -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-28 19:26
import sys
from os.path import abspath, join, dirname
from setuptools import find_packages, setup
this_dir = abspath(dirname(__file__))
with open(join(this_dir, 'README.md'), encoding='utf-8') as file:
long_description = file.read()
version = {}
with open(join(this_dir, "hanlp", "version.py")) as fp:
exec(fp.read(), version)
FASTTEXT = 'fasttext-wheel==0.9.2'
sys_version_info = sys.version_info
TOKENIZERS = []
if (sys_version_info.major, sys_version_info.minor) == (3, 6) and sys.platform in {'darwin', 'win32'}:
TOKENIZERS = ['tokenizers==0.10.3']
extras_require = {
'amr': [
'penman==1.2.1',
'networkx>=2.5.1',
'perin-parser>=0.0.12',
],
'fasttext': [FASTTEXT],
'tf': [FASTTEXT, 'tensorflow>=2.6.0,<2.14']
}
extras_require['full'] = list(set(sum(extras_require.values(), [])))
setup(
name='hanlp',
version=version['__version__'],
description='HanLP: Han Language Processing',
long_description=long_description,
long_description_content_type="text/markdown",
url='https://github.com/hankcs/HanLP',
author='hankcs',
author_email='hankcshe@gmail.com',
license='Apache License 2.0',
classifiers=[
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
"Development Status :: 4 - Beta",
'Operating System :: OS Independent',
"License :: OSI Approved :: Apache Software License",
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
"Topic :: Text Processing :: Linguistic"
],
keywords='corpus,machine-learning,NLU,NLP',
packages=find_packages(exclude=['docs', 'tests*']),
include_package_data=True,
install_requires=[
'termcolor',
'pynvml',
'toposort==1.5',
'transformers>=4.1.1',
'sentencepiece>=0.1.91', # Essential for tokenization_bert_japanese
'torch>=1.6.0',
'hanlp-common>=0.0.20',
'hanlp-trie>=0.0.4',
'hanlp-downloader',
*TOKENIZERS,
],
extras_require=extras_require,
python_requires='>=3.6',
)