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setup.py
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67 lines (62 loc) · 2.15 KB
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
# To update the package version number, edit high_dimensional_sampling/__version__.py
version = {}
with open(os.path.join(here, 'high_dimensional_sampling', '__version__.py')) as f:
exec(f.read(), version)
with open('README.md') as readme_file:
readme = readme_file.read()
setup(
name='high_dimensional_sampling',
version=version['__version__'],
description="Python package for the high dimensional sampling challenge of darkmachines.org.",
long_description=readme + '\n\n',
author="Joeri Hermans, Bob Stienen",
author_email='joeri.hermans@doct.uliege.be, b.stienen@science.ru.nl',
url='https://github.com/darkmachines/high_dimensional_sampling',
#packages=[
# 'high_dimensional_sampling',
#],
packages=find_packages(exclude=('tests',)),
package_dir={'high_dimensional_sampling':
'high_dimensional_sampling'},
include_package_data=True,
license="MIT license",
zip_safe=False,
keywords='high_dimensional_sampling',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
test_suite='tests',
install_requires=[
'pyyaml', 'numpy', 'pandas', 'matplotlib', 'seaborn',
"classy",
'gpyopt',
'cma',
'turbo @ git+https://github.com/uber-research/TuRBO.git',
'particlefilter @ git+https://github.com/bstienen/particlefilter.git',
'openopt',
'tensorflow'],
# FIXME: add your package's dependencies to this list
setup_requires=[
# # dependency for `python setup.py test`
'pytest-runner',
],
tests_require=[
'pytest',
'pytest-cov',
'pycodestyle'
],
extras_require={
'dev': ['prospector[with_pyroma]', 'yapf', 'isort'],
}
)