forked from RobinKa/tfga
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
52 lines (46 loc) · 1.88 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
from setuptools import setup
import os
# Read README.md
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, "README.md"), encoding="utf-8") as readme_file:
long_description = readme_file.read()
setup(
name="tfga",
packages=["tfga"],
extras_require={
"tf": ["tensorflow>=2.0.0"],
"tf_gpu": ["tensorflow-gpu>=2.0.0"],
"tf_nightly": ["tf-nightly>=2.0.0"],
"tf_nightly_gpu": ["tf-nightly-gpu>=2.0.0"],
},
description="Clifford and Geometric Algebra with TensorFlow",
long_description=long_description,
long_description_content_type="text/markdown",
version="0.1.16",
url="https://github.com/RobinKa/tfga",
author="Robin 'Tora' Kahlow",
author_email="[email protected]",
license="MIT",
keywords="geometric-algebra clifford-algebra tensorflow multi-vector para-vector mathematics machine-learning",
classifiers=[
"License :: OSI Approved :: MIT License",
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3 :: Only",
"Intended Audience :: Education",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Physics",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
]
)