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# -*- coding: utf-8 -*-
from distutils.core import setup
LONGDOC = """
jieba
=====
“结巴”中文分词：做最好的 Python 中文分词组件
"Jieba" (Chinese for "to stutter") Chinese text segmentation: built to
be the best Python Chinese word segmentation module.
完整文档见 ``README.md``
GitHub: https://github.com/fxsjy/jieba
特点
====
- 支持三种分词模式：
- 精确模式，试图将句子最精确地切开，适合文本分析；
- 全模式，把句子中所有的可以成词的词语都扫描出来,
速度非常快，但是不能解决歧义；
- 搜索引擎模式，在精确模式的基础上，对长词再次切分，提高召回率，适合用于搜索引擎分词。
- 支持繁体分词
- 支持自定义词典
- MIT 授权协议
在线演示： http://jiebademo.ap01.aws.af.cm/
安装说明
========
代码对 Python 2/3 均兼容
- 全自动安装： ``easy_install jieba`` 或者 ``pip install jieba`` / ``pip3 install jieba``
- 半自动安装：先下载 https://pypi.python.org/pypi/jieba/ ，解压后运行
python setup.py install
- 手动安装：将 jieba 目录放置于当前目录或者 site-packages 目录
- 通过 ``import jieba`` 来引用
"""
setup(name='jieba',
version='0.42.1',
description='Chinese Words Segmentation Utilities',
long_description=LONGDOC,
author='Sun, Junyi',
author_email='ccnusjy@gmail.com',
url='https://github.com/fxsjy/jieba',
license="MIT",
classifiers=[
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Natural Language :: Chinese (Simplified)',
'Natural Language :: Chinese (Traditional)',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Topic :: Text Processing',
'Topic :: Text Processing :: Indexing',
'Topic :: Text Processing :: Linguistic',
],
keywords='NLP,tokenizing,Chinese word segementation',
packages=['jieba'],
package_dir={'jieba':'jieba'},
package_data={'jieba':['*.*','finalseg/*','analyse/*','posseg/*', 'lac_small/*.py','lac_small/*.dic', 'lac_small/model_baseline/*']}
)
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