forked from suny-downstate-medical-center/netpyne
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
96 lines (88 loc) · 4.47 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
95
96
"""A setuptools based setup module"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path, system
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
# Get the version from the init file
version = None
with open(path.join("netpyne", "__init__.py"), "r") as fid:
for line in (line.strip() for line in fid):
if line.startswith("__version__"):
version = line.split("=")[1].strip().strip("'")
break
if version is None:
raise RuntimeError("Could not determine version")
import sys
if "upload_via_twine" in sys.argv:
system("twine upload dist/netpyne-" + version + "-py2.py3-none-any.whl")
elif "upload_via_twine_testpypi" in sys.argv:
system("twine upload --repository pypitest dist/netpyne_py3-" + version + "-py2.py3-none-any.whl")
else:
setup(
name="netpyne",
version=version, # update this in netpyne/__init__.py; makes it accessible to python scripts too...
description="A Python package to develop, simulate and analyse biological neuronal networks in NEURON.",
long_description=long_description,
long_description_content_type="text/markdown",
# python_requires='>=2.7, >=3.6', # removed since makes py2 install fail with universal wheel
# The project's main homepage.
url="https://github.com/Neurosim-lab/netpyne",
# Author details
author="Salvador Dura-Bernal (Neurosim lab)",
author_email="[email protected]",
# Choose license
license="MIT",
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 4 - Beta",
# Indicate who your project is intended for
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Visualization",
# Pick your license as you wish (should match "license" above)
"License :: OSI Approved :: MIT License",
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
],
# What does project relate to?
keywords=["neuron", "network", "developing", "framework", "biological", "simulation"],
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=["saveLoadV1"]),
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=["numpy", "scipy", "matplotlib", "matplotlib-scalebar", "future", "pandas", "bokeh"],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extras_require={},
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
package_data={},
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
data_files=[],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={},
)