-
Notifications
You must be signed in to change notification settings - Fork 5
/
Copy pathsetup.py
67 lines (59 loc) · 1.95 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
67
from setuptools import setup
from glob import glob
from pathlib import Path
CURRENT_DIR = Path(__file__).parent
long_description = (CURRENT_DIR / "README.md").read_text(encoding="utf8")
description = (
"PHAGES2050 is a novel Python 3.8+ programming language framework"
" to boost bacteriophage research & therapy"
)
# Read requirements and process as list of strings
dependencies = (CURRENT_DIR / "requirements.txt").read_text()
dependencies = list(map(str.strip, filter(None, dependencies.split("\n"))))
version = "0.0.8"
setup(
name="phages2050",
version=version,
license="MIT",
description=description,
long_description=long_description,
long_description_content_type="text/markdown",
author="Piotr Tynecki",
author_email="[email protected]",
url="https://github.com/ptynecki/PHAGES2050",
download_url=f"https://github.com/ptynecki/PHAGES2050/archive/v{version}.tar.gz",
setup_requires=["setuptools>=50.3.0", "wheel>=0.35.1"],
install_requires=dependencies,
packages=[
"phages2050",
"phages2050.crawlers",
"phages2050.crawlers.ncbi",
"phages2050.crawlers.millardlab",
"phages2050.features",
"phages2050.features.extractors",
"phages2050.features.io",
"phages2050.features.transformers",
"phages2050.embeddings",
"phages2050.embeddings.proteins",
"phages2050.embeddings.nucleotides",
"phages2050.classifiers",
"phages2050.classifiers.proteins",
],
data_files=glob("examples/*/**"),
include_package_data=True,
keywords=[
"bacteriophages",
"phages",
"phage therapy",
"phage research",
"amr",
"genome embedding",
"protein embedding",
],
classifiers=[
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.8",
],
python_requires=">=3.8",
)