This repository was archived by the owner on Aug 12, 2021. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathsetup.py
More file actions
59 lines (56 loc) · 2.3 KB
/
setup.py
File metadata and controls
59 lines (56 loc) · 2.3 KB
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
# -*- coding: utf-8; -*-
#
# sparsegrad - automatic calculation of sparse gradient
# Copyright (C) 2016-2018 Marek Zdzislaw Szymanski (marek@marekszymanski.com)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License, version 3,
# as published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
from setuptools import setup
with open('sparsegrad/_version.py') as version_file:
exec(version_file.read())
setup(name='sparsegrad',
version=version,
packages=['sparsegrad',
'sparsegrad.base',
'sparsegrad.forward',
'sparsegrad.impl',
'sparsegrad.impl.sparse',
'sparsegrad.impl.sparsevec',
'sparsegrad.impl.multipledispatch',
'sparsegrad.sparsevec',
'sparsegrad.testing',
'sparsegrad.functions'],
url='http://www.marekszymanski.com/software/sparsegrad',
license='GNU Affero General Public License v3',
author='Marek Zdzislaw Szymanski',
install_requires=[
'numpy>=1.10.0',
'scipy>=0.14.0'],
tests_require=['nose',
'parameterized'],
author_email='marek@marekszymanski.com',
description='fast calculation of sparse gradients and Jacobian matrices in Python',
long_description=open('README.rst').read(),
include_package_data=True,
platforms='any',
classifiers=[
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 3',
'Development Status :: 3 - Alpha',
'Natural Language :: English',
'Operating System :: OS Independent',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU Affero General Public License v3',
'Topic :: Scientific/Engineering :: Mathematics'
])