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setup.py
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setup.py
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# Copyright 2023 Janos Czentye
#
# 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.
import pathlib
import setuptools
setuptools.setup(
name="SLAMBUC",
# version=slambuc.__version__,
description="Serverless Layout Adaptation with Memory-Bounds and User Constraints",
long_description=(pathlib.Path(__file__).parent / "README.md").read_text(),
long_description_content_type='text/markdown',
author="Janos Czentye",
author_email="[email protected]",
project_urls={"Repository": "https://github.com/hsnlab/SLAMBUC",
"Homepage": "https://github.com/hsnlab/SLAMBUC/wiki",
"Issue Tracker": "https://github.com/hsnlab/SLAMBUC/issues"},
packages=setuptools.find_packages(include=['slambuc', 'slambuc.*'],
exclude=['tests', 'validation']),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Software Development :: Libraries :: Python Modules"
],
python_requires='>=3.10',
license="Apache 2.0",
keywords="cloud serverless ilp dp tree",
install_requires=[
'networkx~=3.3',
'numpy~=1.26.4',
'PuLP~=2.9.0',
'matplotlib~=3.9.1',
'pandas~=2.2.2',
'scipy~=1.14.0',
'cspy~=1.0.3',
],
extras_require={'tests': ['pytest~=8.2.2',
'pygraphviz~=1.13',
'tabulate~=0.9.0',
'docplex~=2.27.239'],
'validation': ['tabulate~=0.9.0',
'Click~=8.1.7',
'psutil~=6.0.0']},
package_data={'*': ['*.pkl',
'*.csv']},
include_package_data=True,
zip_safe=False
)