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setup.py
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setup.py
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__author__ = 'user'
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
# Determine if Windows or Mac
import platform
here = path.abspath(path.dirname(__file__))
# Get the long description from the relevant file
with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f:
long_description = f.read()
print(platform.system())
if platform.system() == 'Windows':
package_data={
'sbol': ['examples/*'],
'bin/Win_32': ['_libsbol.pyd']
}
elif platform.system() == 'Darwin':
package_data={
'sbol': ['examples/*'],
'bin/Mac_OSX': ['_libsbol.so']
}
print(package_data)
setup(
name='pySBOL',
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version='1.0.0b1',
description='A module for reading, writing, and constructing genetic designs according to the standardized specifications of the Synthetic Biology Open Language (SBOL).',
long_description=long_description,
# The project's main homepage.
url='https://github.com/SynBioDex/pySBOL',
# Author details
author='Bryan Bartley',
author_email='[email protected]',
# Choose your license
license='Apache 2.0',
# 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 :: Developers',
# Pick your license as you wish (should match "license" above)
'License :: Apache 2.0',
# 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 :: 2.6',
'Programming Language :: Python :: 2.7'
],
# What does your project relate to?
keywords='synthetic biology',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
#packages = ['examples'],
#packages = ['sbol'] # No subdirectory named sbol
packages=find_packages(),
#packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
# 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=['peppercorn'],
# 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={
# 'dev': ['check-manifest'],
# 'test': ['coverage'],
#},
# 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=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=[('my_data', ['data/data_file'])],
# 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={
# 'console_scripts': [
# 'sample=sample:main',
# ],
# },
)