-
Notifications
You must be signed in to change notification settings - Fork 904
/
Copy pathsetup.py
66 lines (54 loc) · 2.04 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
from pathlib import Path
from setuptools import setup, find_packages
def read_requirements(path):
return list(Path(path).read_text().splitlines())
base_reqs = read_requirements('requirements/core.txt')
pmdarima_reqs = read_requirements('requirements/pmdarima.txt')
torch_reqs = read_requirements('requirements/torch.txt')
prophet_reqs = read_requirements('requirements/prophet.txt')
all_reqs = base_reqs + pmdarima_reqs + torch_reqs + prophet_reqs
with open("README.md", "r") as fh:
LONG_DESCRIPTION = fh.read()
URL = 'https://unit8co.github.io/darts/'
PROJECT_URLS = {
'Bug Tracker': 'https://github.com/unit8co/darts/issues',
'Documentation': URL,
'Source Code': 'https://github.com/unit8co/darts'
}
setup(
name='darts',
version="0.9.0",
description='A python library for easy manipulation and forecasting of time series.',
long_description=LONG_DESCRIPTION,
long_description_content_type="text/markdown",
project_urls=PROJECT_URLS,
url=URL,
maintainer='Unit8 SA',
maintainer_email='darts@unit8.co',
license='Apache License 2.0',
packages=find_packages(),
install_requires=all_reqs,
package_data={
'darts': ['py.typed'],
},
zip_safe=False,
python_requires='>=3.7',
classifiers=[
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'Programming Language :: Python',
'Topic :: Software Development',
'Topic :: Scientific/Engineering',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Operating System :: Unix',
'Operating System :: MacOS',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
('Programming Language :: Python :: '
'Implementation :: PyPy')
],
keywords='time series forecasting'
)