forked from GPflow/GPflow
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathsetup.py
More file actions
71 lines (58 loc) · 2.07 KB
/
setup.py
File metadata and controls
71 lines (58 loc) · 2.07 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
60
61
62
63
64
65
66
67
68
69
70
71
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: skip-file
import os
import sys
from setuptools import find_packages, setup
# Dependencies of GPflow
requirements = [
"numpy>=1.10.0",
"scipy>=0.18.0",
"multipledispatch>=0.6",
"tabulate",
"typing_extensions",
]
if sys.version_info < (3, 7):
# became part of stdlib in python 3.7
requirements.append("dataclasses")
# We do not want to install tensorflow in the readthedocs environment, where we
# use autodoc_mock_imports instead. Hence we use this flag to decide whether or
# not to append tensorflow and tensorflow_probability to the requirements:
if os.environ.get("READTHEDOCS") != "True":
requirements.extend(["tensorflow>=2.1.0", "tensorflow-probability>=0.9"])
def read_file(filename):
with open(filename, encoding="utf-8") as f:
return f.read().strip()
version = read_file("VERSION")
readme_text = read_file("README.md")
packages = find_packages(".", exclude=["tests"])
setup(
name="gpflow",
version=version,
author="James Hensman, Alex Matthews",
author_email="james.hensman@gmail.com",
description="Gaussian process methods in TensorFlow",
long_description=readme_text,
long_description_content_type="text/markdown",
license="Apache License 2.0",
keywords="machine-learning gaussian-processes kernels tensorflow",
url="https://www.gpflow.org",
project_urls={
"Source on GitHub": "https://github.com/GPflow/GPflow",
"Documentation": "https://gpflow.readthedocs.io",
},
packages=packages,
include_package_data=True,
install_requires=requirements,
extras_require={"ImageToTensorBoard": ["matplotlib"]},
python_requires=">=3.6",
classifiers=[
"License :: OSI Approved :: Apache Software License",
"Natural Language :: English",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3.6",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)