<reponame>Mirabolic/mirabolic
# How to upload to PyPI:
# (1) Change "mirabolic/version" file as you want.
# (2) Clean up any old cruft:
#       rm -rf mirabolic.egg-info dist build
# (2) Make a matching tagged release on GitHub:
#       https://github.com/Mirabolic/mirabolic/releases/new
# (3) Build package
#       python setup.py sdist bdist_wheel
# (4) Upload package
#       twine upload dist/*

import os
import pathlib
from setuptools import setup, find_namespace_packages

# The directory containing this file
this_dir = pathlib.Path(__file__).parent

# The text of the README file
with open(os.path.join(this_dir, "README.md")) as fp:
    README = fp.read()

with open(os.path.join(this_dir, 'mirabolic', 'version'), mode='r') as fp:
    version = fp.readline().rstrip()

setup(
    name='mirabolic',
    packages=find_namespace_packages(),
    version=version,
    license='MIT',
    description='Statistical and Machine Learning tools from Mirabolic',
    long_description=README,
    long_description_content_type="text/markdown",
    author='<NAME>',
    url='https://github.com/Mirabolic/mirabolic',
    # We assume we keep the GitHub tag name consistent with the version
    download_url='https://github.com/Mirabolic/mirabolic/archive/refs/tags/v%s.tar.gz' % version,  # noqa: E501
    include_package_data=True,
    keywords=['Statistics', 'Machine Learning'],
    install_requires=[
        'tensorflow>=2.4.1',
        'numpy>=1.19.2',
    ],
    classifiers=[
        'Development Status :: 3 - Alpha',
        'Intended Audience :: Developers',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
        'Topic :: Scientific/Engineering :: Mathematics',
        'License :: OSI Approved :: MIT License',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
        'Programming Language :: Python :: 3.9',
    ],
)
