-
Notifications
You must be signed in to change notification settings - Fork 23
/
setup.py
50 lines (47 loc) · 1.61 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
from distutils.core import setup
import setuptools # noqa
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
exec(open('pyxtal_ff/version.py').read())
setup(
name="pyxtal_ff",
version=__version__,
author="Qiang Zhu, Howard Yanxon, David Zagaceta, Binh Tang",
author_email="[email protected]",
description="Python code for force field training of crystals",
long_description=long_description,
long_description_content_type = 'text/markdown',
url="https://github.com/qzhu2017/PyXtal-FF",
packages=['pyxtal_ff',
'pyxtal_ff.datasets',
'pyxtal_ff.datasets.Si',
'pyxtal_ff.datasets.Si.PyXtal',
'pyxtal_ff.descriptors',
'pyxtal_ff.calculator',
'pyxtal_ff.models',
'pyxtal_ff.models.optimizers',
'pyxtal_ff.utilities'],
package_data={'pyxtal_ff.datasets.Si.PyXtal': ['*.json', '*.pth'],
'pyxtal_ff.descriptors': ['*.npy'],
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
install_requires=[
'numpy>=1.13.3',
'scipy>=1.6.1',
'matplotlib>=2.0.0',
'ase>=3.22.1',
'torch>=1.10.2',
'phonopy==2.19.0',
'spglib>=1.12.1',
'monty>=3.0.2',
'seekpath>=1.9.5',
'numba>=0.50.1'],
python_requires='>=3.7',
license='MIT',
)