# -*- coding: utf-8 -*-

from setuptools import setup, find_packages

LONGDOC = """

chop

=====

中文分词

完整文档见

GitHub: https://github.com/samurais/chop

特点

====

* 使用简单

```python

for x in t.cut("工信处女干事每月经过下属科室都要亲口交代24口交换机等技术性器件的安装工作"): print(x)

```

* 代码通俗易懂，方便掌握算法

- MIT 授权协议

安装说明

========

代码对 Python 3 兼容

- 全自动安装： ``easy_install chop`` 或者 ``pip install chop`` / ``pip3 install chop``

- 通过 ``import chop`` 来引用

"""

setup(name='chop',

version='1.0',

description='Chinese Words Segementation Utilities',

long_description=LONGDOC,

author='Hai Liang Wang',

author_email='[email protected]',

url='https://github.com/samurais/chop',

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 :: 3',

'Programming Language :: Python :: 3.4',

'Programming Language :: Python :: 3.5',

'Programming Language :: Python :: 3.6',

'Topic :: Text Processing',

'Topic :: Text Processing :: Indexing',

'Topic :: Text Processing :: Linguistic',

],

keywords='NLP,tokenizing,Chinese word segementation',

packages= find_packages(),

# package_dir={'chop':['chop']},

package_data={'chop':['mmseg/*.txt', 'hmm/*.json', 'hmm/*.utf8']}

)