forked from avivajpeyi/agn_phenomenological_model
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsetup.py
94 lines (80 loc) · 2.63 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
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
#!/usr/bin/env python
# Inspired by:
# https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/
import codecs
import os
import re
from setuptools import find_packages, setup
# PROJECT SPECIFIC
NAME = "agn_utils"
PACKAGES = find_packages(where=".")
META_PATH = os.path.join("agn_utils", "__init__.py")
CLASSIFIERS = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
]
INSTALL_REQUIRES = [
"gwpopulation",
"surfinbh",
"deepdiff",
"sklearn",
"joblib",
"fpdf",
"gputil",
"psutil",
"tabulate"
]
EXTRA_REQUIRE = {"test": ["pytest>=3.6", "testbook>=0.2.3"]}
EXTRA_REQUIRE["dev"] = EXTRA_REQUIRE["test"] + [
"pre-commit",
"flake8",
"black",
"isort",
]
# END PROJECT SPECIFIC
HERE = os.path.dirname(os.path.realpath(__file__))
def read(*parts):
with codecs.open(os.path.join(HERE, *parts), "rb", "utf-8") as f:
return f.read()
def find_meta(meta, meta_file=read(META_PATH)):
meta_match = re.search(
r"^__{meta}__ = ['\"]([^'\"]*)['\"]".format(meta=meta), meta_file, re.M
)
if meta_match:
return meta_match.group(1)
raise RuntimeError("Unable to find __{meta}__ string.".format(meta=meta))
if __name__ == "__main__":
setup(
name=NAME,
version=find_meta("version"),
author=find_meta("author"),
author_email=find_meta("email"),
maintainer=find_meta("author"),
maintainer_email=find_meta("email"),
url=find_meta("uri"),
license=find_meta("license"),
description=find_meta("description"),
long_description=read("README.md"),
long_description_content_type="text/markdown",
packages=PACKAGES,
include_package_data=True,
install_requires=INSTALL_REQUIRES,
extras_require=EXTRA_REQUIRE,
classifiers=CLASSIFIERS,
zip_safe=True,
entry_points={
"console_scripts": [
"cdf_check=agn_utils.plotting.cdf_plotter.sigma_cdf_difference_check:main",
"pe_corner=agn_utils.plotting.pe_corner_plotter.make_pe_corner:main",
"plot_corners=agn_utils.plot_corners:main",
"pbilby_pe_jobgen=agn_utils.pe_setup.pbilby_jobgen_cli:main",
"draw_population_samples=agn_utils.pe_setup.make_population_files:main",
"clean_dat_file=agn_utils.pe_setup.clean_inj_file:main"
]
}
)