-
Notifications
You must be signed in to change notification settings - Fork 10
/
setup.py
44 lines (38 loc) · 1.42 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
from setuptools import setup, find_packages
import swarmcg
with open('README.md') as readme_file:
README = readme_file.read()
setup(
name='swarm-cg',
version=swarmcg.__version__,
description='Tools for automatic parametrization of bonded terms in coarse-grained molecular models, with respect to an all-atom trajectory',
author='Charly Empereur-mot',
author_email='[email protected]',
license='MIT',
url='https://github.com/GMPavanLab/Swarm-CG',
download_url=f'https://github.com/GMPavanLab/Swarm-CG/archive/v{swarmcg.__version__}.tar.gz',
long_description=README,
long_description_content_type="text/markdown",
keywords=['gromacs', 'coarse-grain', 'molecular model', 'optimization', 'force field'],
packages=find_packages(include=['swarmcg', 'swarmcg.*']),
package_data={"": ['data/*']},
install_requires=[
'numpy>=1.16.4',
'scipy>=1.2.2',
'pyemd>=0.5.1',
'matplotlib>=3.2.2', # warnings appear for lower versions, don't change
'fst-pso>=1.4.12',
'MDAnalysis>=1.0.0'
],
classifiers=[
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
],
entry_points={
'console_scripts': [
'scg_optimize=swarmcg.optimize_model:main',
'scg_evaluate=swarmcg.evaluate_model:main',
'scg_monitor=swarmcg.analyze_optimization:main'
]
}
)