-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
77 lines (66 loc) · 2.61 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
75
76
77
from setuptools import setup, Extension, find_packages
sources = [
"cigram/cmodel/generate_graph.cc",
"cigram/cmodel/distributions.cc",
"cigram/cmodel/sample.cc",
"cigram/cmodel/cmodel.cc",
]
lfr_sources = [
"cigram/lfr_model/benchm.cpp",
"cigram/lfr_model/cast.cpp",
"cigram/lfr_model/cc.cpp",
"cigram/lfr_model/combinatorics.cpp",
"cigram/lfr_model/random.cpp",
"cigram/lfr_model/lfr_model.cc",
]
cmodule = Extension("cigram.cmodel", sources=sources, extra_compile_args=["-Ofast"])
lfrmodule = Extension("cigram.lfr_model", sources=lfr_sources, extra_compile_args=["-Wno-undef", "-Ofast"])
long_description='''
CiGRAM is a generator for random complex networks with community structure and assortative connections.
CiGRAM can be used as a benchmark for community detection algorithms.
This package also includes LFR benchmark models.
Installation - currently only tested on linux.
Requires C++ and libboost installed and in library paths.
To install visit http://www.boost.org/
There is no reason this shouldn't compile on windows if the required libs are present.
'''
with open('requirements.txt') as f:
requirements = f.read().splitlines()
setup(
name="cigram",
version="0.1.5",
description="Circular Gaussian Random gRAph Model - a generator for synthetic complex networks",
long_description=long_description,
zip_safe=False,
author="James Gilbert",
install_requires=requirements,
author_email="[email protected]",
license="GPL",
entry_points={
},
ext_modules=[lfrmodule, cmodule],
setup_requires=['pytest-runner'],
tests_require=['pytest'],
url="https://github.com/azimov/cigram",
include_package_data=True,
packages=find_packages(),
project_urls=dict(
documentation='https://cigram.readthedocs.org',
visualisation='http://cigram.ico2s.org',
),
classifiers=[
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)',
'License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)',
'Operating System :: OS Independent',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: Implementation :: CPython',
'Topic :: Scientific/Engineering',
],
platforms="GNU/Linux, Mac OS X >= 10.7, Microsoft Windows >= 7",
)