setup.py

import os

from setuptools import setup, find_packages

import versioneer

try:
    import builtins
except ImportError:
    import __builtin__ as builtins

builtins.__RISING_SETUP__ = True


def resolve_requirements(file):
    requirements = []
    with open(file) as f:
        req = f.read().splitlines()
        for r in req:
            if r.startswith("-r"):
                requirements += resolve_requirements(
                    os.path.join(os.path.dirname(file), r.split(" ")[1]))
            else:
                requirements.append(r)
    return requirements


def read_file(file):
    with open(file, encoding="utf8") as f:
        content = f.read()
    return content


requirements = resolve_requirements(
    os.path.join(os.path.dirname(__file__), "requirements", 'install.txt'))
requirements_async = resolve_requirements(
    os.path.join(os.path.dirname(__file__), "requirements", 'install_async.txt'))

readme = read_file(os.path.join(os.path.dirname(__file__), "README.md")
                   ).replace('.svg', '.png')

import rising

setup(
    name='rising',
    version=versioneer.get_version(),
    cmdclass=versioneer.get_cmdclass(),
    packages=find_packages(),
    url=rising.__homepage__,
    test_suite="unittest",
    long_description=readme,
    long_description_content_type='text/markdown',
    install_requires=requirements,
    extras_require={'async': requirements_async},
    tests_require=["coverage"],
    python_requires=">=3.6",
    author=rising.__author__,
    author_email=rising.__author_email__,
    include_package_data=True,
    zip_safe=False,
    keywords=['deep learning', 'augmentation', 'transforms', 'pytorch', 'medical'],
    license=rising.__license__,
    project_urls={
        "Bug Tracker": "https://github.com/PhoenixDL/rising/issues",
        "Documentation": "https://rising.rtfd.io/en/latest/",
        "Source Code": "https://github.com/PhoenixDL/rising",
    },
    # TODO: Populate classifiers
    classifiers=[

    ]
)