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#!/usr/bin/env python
# Author: Remi Flamary <remi.flamary@polytechnique.edu>
#
# License: MIT License
import os
import re
import subprocess
import sys
from setuptools import find_packages, setup
from setuptools.extension import Extension
import numpy
from Cython.Build import cythonize
sys.path.append(os.path.join("ot", "helpers"))
from openmp_helpers import check_openmp_support
# dirty but working
__version__ = re.search(
r'__version__\s*=\s*[\'"]([^\'"]*)[\'"]', # It excludes inline comment too
open("ot/__init__.py").read(),
).group(1)
# The beautiful part is, I don't even need to check exceptions here.
# If something messes up, let the build process fail noisy, BEFORE my release!
# thanks PyPI for handling markdown now
ROOT = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(ROOT, "README.md"), encoding="utf-8") as f:
README = f.read()
# clean cython output is clean is called
if "clean" in sys.argv[1:]:
if os.path.isfile("ot/lp/emd_wrap.cpp"):
os.remove("ot/lp/emd_wrap.cpp")
# add platform dependant optional compilation argument
openmp_supported, flags = check_openmp_support()
compile_args = ["/O2" if sys.platform == "win32" else "-O3"]
link_args = []
if openmp_supported:
compile_args += flags
link_args += flags
if sys.platform.startswith("darwin"):
compile_args.append("-stdlib=libc++")
sdk_path = subprocess.check_output(["xcrun", "--show-sdk-path"])
os.environ["CFLAGS"] = '-isysroot "{}"'.format(sdk_path.rstrip().decode("utf-8"))
setup(
name="POT",
version=__version__,
description="Python Optimal Transport Library",
long_description=README,
long_description_content_type="text/markdown",
author="Remi Flamary, Nicolas Courty, Cédric Vincent-Cuaz, POT Contributors",
author_email="remi.flamary@gmail.com, ncourty@gmail.com, cedvincentcuaz@gmail.com",
url="https://github.com/PythonOT/POT",
packages=find_packages(exclude=["benchmarks"]),
ext_modules=cythonize(
Extension(
name="ot.lp.emd_wrap",
sources=[
"ot/lp/emd_wrap.pyx",
"ot/lp/EMD_wrapper.cpp",
], # cython/c++ src files
language="c++",
include_dirs=[numpy.get_include(), os.path.join(ROOT, "ot/lp")],
extra_compile_args=compile_args,
extra_link_args=link_args,
)
),
platforms=["linux", "macosx", "windows"],
download_url="https://github.com/PythonOT/POT/archive/{}.tar.gz".format(
__version__
),
license="MIT",
scripts=[],
data_files=[],
install_requires=["numpy>=1.16", "scipy>=1.6"],
extras_require={
"backend-numpy": [], # in requirements.
"backend-jax": ["jax", "jaxlib"],
"backend-cupy": [], # should be installed with conda, not pip
"backend-tf": ["tensorflow"],
"backend-torch": ["torch"],
"cvxopt": ["cvxopt"], # on it's own to prevent accidental GPL violations
"dr": ["scikit-learn", "pymanopt", "autograd"],
"gnn": ["torch", "torch_geometric"],
"plot": ["matplotlib"],
"all": [
"jax",
"jaxlib",
"tensorflow",
"torch",
"cvxopt",
"scikit-learn",
"pymanopt",
"autograd",
"torch_geometric",
"matplotlib",
],
},
python_requires=">=3.7",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Environment :: Console",
"Operating System :: OS Independent",
"Operating System :: POSIX :: Linux",
"Operating System :: MacOS",
"Operating System :: POSIX",
"Operating System :: Microsoft :: Windows",
"Programming Language :: Python",
"Programming Language :: C++",
"Programming Language :: C",
"Programming Language :: Cython",
"Topic :: Utilities",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Information Analysis",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"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",
],
)
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