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setup.py
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# -*- coding:utf-8 -*-
from __future__ import absolute_import
import os
import sys
from glob import glob
from os import path as P
import numpy
from setuptools import setup, Extension, find_packages
def read_requirements(file_path='requirements.txt'):
if not os.path.exists(file_path):
return []
with open(file_path, 'r') as f:
lines = f.readlines()
lines = [x.strip('\n').strip(' ') for x in lines]
lines = list(filter(lambda x: len(x) > 0 and not x.startswith('#'), lines))
return lines
def read_extra_requirements():
import glob
import re
extra = {}
for file_name in glob.glob('requirements-*.txt'):
key = re.search('requirements-(.+).txt', file_name).group(1)
req = read_requirements(file_name)
if req:
extra[key] = req
if extra and 'all' not in extra.keys():
extra['all'] = sorted({v for req in extra.values() for v in req})
return extra
try:
execfile
except NameError:
def execfile(fname, globs, locs=None):
locs = locs or globs
exec(compile(open(fname).read(), fname, "exec"), globs, locs)
HERE = P.dirname((P.abspath(__file__)))
version_ns = {}
execfile(P.join(HERE, 'ylearn', '_version.py'), version_ns)
version = version_ns['__version__']
print("__version__=" + version)
np_include = numpy.get_include()
pyx_files = glob("ylearn/**/*.pyx", recursive=True)
c_files = glob("ylearn/**/*.c", recursive=True)
build_ext = any(map(lambda s: s == 'build_ext', sys.argv[1:]))
if build_ext:
pyx_modules = [P.splitext(f)[0] for f in pyx_files]
c_modules = [P.splitext(f)[0] for f in c_files]
c_modules = [f for f in c_modules if f not in pyx_modules]
else:
c_modules = [P.splitext(f)[0] for f in c_files]
for pf in pyx_files:
if P.splitext(pf)[0] not in c_modules:
raise FileNotFoundError(f'Not found c file for {pf}, '
f'run "python setup.py build_ext --inplace" to generate c files.')
pyx_modules = []
print('pyx extensions:', pyx_modules)
print('c extensions:', c_modules)
c_modules = list(map(lambda f: Extension(f.replace(os.sep, '.'), [f'{f}.c'], include_dirs=[np_include]), c_modules))
if pyx_modules:
from Cython.Build import cythonize
pyx_modules = list(map(lambda f: Extension(f.replace(os.sep, '.'), [f'{f}.pyx'], include_dirs=[np_include]),
pyx_modules))
pyx_modules = cythonize(pyx_modules, compiler_directives={'language_level': "3"})
MIN_PYTHON_VERSION = '>=3.6.*'
long_description = open('README.md', encoding='utf-8').read()
requires = read_requirements()
extras_require = read_extra_requirements()
print('requirements:', requires)
setup(
name='ylearn',
version=version,
description='A python package for causal inference',
long_description=long_description,
long_description_content_type="text/markdown",
url='https://github.com/DataCanvasIO/YLearn',
author='DataCanvas Community',
author_email='[email protected]',
license='Apache License 2.0',
install_requires=requires,
python_requires=MIN_PYTHON_VERSION,
extras_require=extras_require,
classifiers=[
'Operating System :: OS Independent',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'Programming Language :: Python',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
],
packages=find_packages(exclude=('docs', 'tests', 'example_usages')),
package_data={
# 'hypergbm': ['examples/*', 'examples/**/*', 'examples/**/**/*'],
},
ext_modules=c_modules + pyx_modules,
zip_safe=False,
# entry_points={
# # 'console_scripts': [
# # 'hypergbm = hypergbm.utils.tool:main',
# # ],
# },
include_package_data=True,
)
# setup extensions:
# python setup.py build_ext --inplace