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setup.py
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setup.py
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import re
import setuptools
import subprocess
import sys
try:
result = subprocess.run(
[sys.executable, "-m", "pip", "show", "pkg_utils"],
check=True, capture_output=True)
match = re.search(r'\nVersion: (.*?)\n', result.stdout.decode(), re.DOTALL)
assert match and tuple(match.group(1).split('.')) >= ('0', '0', '5')
except (subprocess.CalledProcessError, AssertionError):
subprocess.run(
[sys.executable, "-m", "pip", "install", "-U", "pkg_utils"],
check=True)
import os
import pkg_utils
name = 'datanator'
dirname = os.path.dirname(__file__)
# get package metadata
md = pkg_utils.get_package_metadata(dirname, name)
# install package
setuptools.setup(
name=name,
version=md.version,
description='Finds relevant kinetic data for biochemical models',
long_description=md.long_description,
url='https://github.com/KarrLab/' + name,
download_url='https://github.com/KarrLab/' + name,
license='MIT',
author='Karr Lab',
author_email='[email protected]',
keywords=['kinetic data', 'systems biology', 'computational biology', ],
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
],
packages=setuptools.find_packages(exclude=['tests', 'tests.*']),
package_data={
name: [
'config/core.schema.cfg',
'config/core.default.cfg',
'data_source/*.txt',
'data/*.txt',
'data/*.xlsx',
],
},
entry_points={
'console_scripts': [
'datanator = datanator.__main__:main',
],
},
install_requires=md.install_requires,
extras_require=md.extras_require,
tests_require=md.tests_require,
dependency_links=md.dependency_links,
)