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setup.py
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setup.py
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# Copyright 2018 Francesco Ceccon
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# pylint: skip-file
from setuptools import setup, find_packages
from pathlib import Path
project_root = Path(__file__).resolve().parent
about = {}
version_path = project_root / 'suspect' / '__version__.py'
with version_path.open() as f:
exec(f.read(), about)
with open('README.rst') as f:
readme = f.read()
with open('CHANGELOG.rst') as f:
changelog = f.read()
setup(
name='cog-suspect',
author=about['__author__'],
author_email=about['__author_email__'],
license=about['__license__'],
version=about['__version__'],
url=about['__url__'],
description=about['__description__'],
long_description=readme + '\n\n' + changelog,
packages=find_packages(exclude=['tests.*', 'tests']),
entry_points={
'suspect.convexity_detection': [
'perspective=suspect.extras.convexity:PerspectiveFunctionConvexityDetector',
'l2norm=suspect.extras.convexity:L2NormConvexityDetector',
'quadratic=suspect.extras.convexity:QuadraticFormConvexityDetector',
'fractional=suspect.extras.convexity:FractionalConvexityDetector',
]
},
scripts=[
'scripts/model_summary.py',
],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering :: Mathematics',
],
install_requires=[
'pyomo>=5.6',
'numpy>=1.14',
'mpmath>=1.0',
'boto3>=1.7.4',
],
setup_requires=['pytest-runner'],
tests_require=[
'pytest', 'pytest-cov', 'hypothesis', 'pytest-rerunfailures', 'sympy'],
)