#!/usr/bin/env python

from os import path
from setuptools import find_packages, setup
this_directory = path.abspath(path.dirname(__file__))

with open('README.md') as readme_file:
    readme = readme_file.read()

with open('requirements.txt') as requirements_file:
    requirements = requirements_file.readlines()

with open('requirements_dev.txt') as requirements_file:
    test_requirements = [
        req for req in requirements_file.readlines()
        if 'git+' not in req
    ] + requirements

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

setup(
    name='adversarial labeller',
    version='0.1.7',
    description='Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.',
    long_description=long_description,
    long_description_content_type='text/markdown',
    author="Kwame Porter Robinson",
    author_email='kwamepr@umich.edu',
    url='https://github.com/robinsonkwame/adversarial_labeller',
    packages=find_packages(include=['adversarial_labeller*']),
    include_package_data=True,
    install_requires=requirements,
    license="MIT license",
    keywords='model selection, validation, data drift',
    classifiers=[
        'Development Status :: 2 - Pre-Alpha',
        'Intended Audience :: Developers',
        'License :: OSI Approved :: MIT License',
        'Natural Language :: English',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.7',
    ],
    test_suite='tests',
)
