-
Notifications
You must be signed in to change notification settings - Fork 13
/
setup.py
45 lines (38 loc) · 1.38 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
# -*- coding: utf-8 -*-
import os
from setuptools import find_packages, setup
with open('README.rst') as f:
readme = f.read()
# with open('LICENSE.txt') as f:
# licenses = f.read()
setup(
name='dbestclient',
version='3.0',
description='Model-based Approximate Query Processing (AQP) engine.',
# classifiers=[
# 'Development Status :: 3.0',
# 'License :: OSI Approved :: MIT License',
# 'Programming Language :: Python :: 3.8',
# 'Topic :: Approximate Query Processing :: AQP :: Data Warehouse',
# ],
# classifiers=wtforms.fields.SelectMultipleField(
# description="Classifier",
# ),
keywords='Approximate Query Processing AQP',
url='https://github.com/qingzma/DBEstClient',
author='Qingzhi Ma',
author_email='[email protected]',
long_description=readme,
# license=licenses,
# packages=['dbestclient'],
packages=find_packages(exclude=('experiments', 'tests', 'docs')),
entry_points={
'console_scripts': ['dbestclient=dbestclient.main:main', 'dbestslave=dbestclient.main:slave', 'dbestmaster=dbestclient.main:master'],
},
zip_safe=False,
install_requires=[
'numpy', 'sqlparse', 'pandas', 'scikit-learn', 'qregpy', 'scipy', 'dill', 'matplotlib', 'torch', 'category_encoders', 'tox', 'sphinx', 'gensim',
],
test_suite='nose.collector',
tests_require=['nose'],
)