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setup.py
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138 lines (123 loc) · 4.24 KB
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pipenv install twine --dev
import io
import os
import re
from setuptools import find_packages, setup
from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
from wheel._bdist_wheel import get_platform, get_abi_tag, tags
def get_property(prop, project):
result = re.search(
r'{}\s*=\s*[\'"]([^\'"]*)[\'"]'.format(prop),
open(project + "/__init__.py").read(),
)
return result.group(1)
# Package meta-data.
NAME = "ml4co-kit"
PACKAGE_NAME = "ml4co_kit"
DESCRIPTION = "ml4co-kit provides convenient dataset generators for the combinatorial optimization problem"
URL = "https://github.com/Thinklab-SJTU/ML4CO-Kit"
AUTHOR = get_property("__author__", PACKAGE_NAME)
VERSION = get_property("__version__", PACKAGE_NAME)
REQUIRED = [
"numpy>=1.24.3",
"networkx>=2.8.8",
"tqdm>=4.66.3",
"cython>=3.0.8",
"pulp>=2.8.0",
"scipy>=1.10.1",
"aiohttp>=3.10.11",
"requests>=2.32.0",
"matplotlib>=3.7.0",
"async_timeout>=4.0.3",
"pyvrp>=0.6.3",
"gurobipy>=11.0.3",
"scikit-learn>=1.3.0",
"ortools>=9.12.4544",
"huggingface_hub>=0.32.0",
"setuptools>=75.0.0",
"PySCIPOpt>=5.6.0",
"pybind11>=3.0.1",
"cnfgen>=0.9.5",
"python-sat",
"PyYAML>=6.0.3",
"hydra-core>=1.3.2"
]
EXTRAS = {}
here = os.path.abspath(os.path.dirname(__file__))
# Import the README and use it as the long-description.
# Note: this will only work if 'README.md' is present in your MANIFEST.in file!
try:
with io.open(os.path.join(here, "README.md"), encoding="utf-8") as f:
long_description = "\n" + f.read()
except FileNotFoundError:
long_description = DESCRIPTION
# Load the package's __version__.py module as a dictionary.
about = {}
if not VERSION:
project_slug = NAME.lower().replace("-", "_").replace(" ", "_")
with open(os.path.join(here, project_slug, "__version__.py")) as f:
exec(f.read(), about)
else:
about["__version__"] = VERSION
class BdistWheelCommand(_bdist_wheel):
def run(self):
super().run()
def get_tag(self):
if self.plat_name and not self.plat_name.startswith("macosx"):
plat_name = self.plat_name
else:
plat_name = get_platform(self.bdist_dir)
if plat_name in ("linux-x86_64", "linux_x86_64"):
plat_name = "manylinux2014_x86_64"
plat_name = (
plat_name.lower().replace("-", "_").replace(".", "_").replace(" ", "_")
)
impl_name = tags.interpreter_name()
impl_ver = tags.interpreter_version()
impl = impl_name + impl_ver
abi_tag = str(get_abi_tag()).lower()
tag = (impl, abi_tag, plat_name)
return tag
setup(
name=PACKAGE_NAME,
version=about["__version__"],
description=DESCRIPTION,
long_description=long_description,
long_description_content_type="text/markdown",
author=AUTHOR,
url=URL,
packages=find_packages(),
package_data={PACKAGE_NAME: ["**"], NAME: ["**"], "docs": ["**"]},
install_requires=REQUIRED,
extras_require=EXTRAS,
include_package_data=True,
license="Mulan PSL v2",
python_requires=">=3.8",
classifiers=[
"License :: OSI Approved :: Mulan Permissive Software License v2 (MulanPSL-2.0)",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: Implementation :: CPython",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS",
"Environment :: Console",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Scientific/Engineering :: Mathematics",
],
# $ setup.py publish support.
cmdclass={
"bdist_wheel": BdistWheelCommand,
},
)