tspgclu/setup.py at main · uef-machine-learning/tspgclu · GitHub

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#!/usr/bin/env python
import numpy

import os
import setuptools
from setuptools import setup, Extension

__version__ = "0.1"

# cargs = ['-O3',  '-std=c++11', '-fopenmp', '-fpermissive', '-D_PYTHON_LIB','-Wunused-variable','-Wno-unused-but-set-variable', '-Wno-unused-result', '-Wno-unused-variable']


if os.name == 'nt':
	cargs = [
	'/std:c++11',
	'/permissive-',
	'/W0',
	'/D_PYTHON_LIB'
	]
else:
	cargs = ['-O3',  '-std=c++11', '-fpermissive', '-D_PYTHON_LIB','-Wunused-variable','-Wno-unused-but-set-variable', '-Wno-unused-result', '-Wno-unused-variable']
#For debug:
# cargs = ['-O1', '-g', '-std=c++11', '-fopenmp', '-fpermissive',  '-Wall', '-D_PYTHON_LIB']


with open('README.md', 'r', encoding='utf-8') as f:
	long_description = f.read()

module1 = Extension('tspg', sources=['python/py_interf.cpp'], include_dirs=['python','.',numpy.get_include()], extra_compile_args=cargs)

ext_modules = [module1]

setup(
	name='tspg',
	version='1.0',
	# packages=setuptools.find_packages(include=['tspg', 'tspg.*']),
	setup_requires=['wheel'],
	requires=['rapidfuzz'],
	python_requires='>=3',
	provides=['tspg'],
	description='Fast agglomerative clustering using TSP-graph',
	long_description=long_description,
	long_description_content_type='text/markdown',
	classifiers=[
		"License :: OSI Approved :: MIT License",
		"Programming Language :: Python :: 3",
		"Programming Language :: Python :: 3.6",
		"Programming Language :: Python :: 3.7",
		"Programming Language :: Python :: 3.8",
		"Programming Language :: Python :: 3.9",
		# Add more relevant classifiers
	],
	# extras_require={"test": "pytest"},
	ext_modules=[module1]
)