setup.py

try:
    from setuptools import setup, find_packages
except ImportError:
    from distutils.core import setup, find_packages

import re
import os
from typing import List

CURRENT_DIR = os.path.abspath(os.path.dirname(__file__))

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


def parse_requirements(path: str) -> List[str]:
    with open(os.path.join(CURRENT_DIR, path)) as f:
        return [
            line.rstrip()
            for line in f
            if not (line.isspace() or line.startswith("#"))
        ]


VERSIONFILE = "mle_hyperopt/_version.py"
verstrline = open(VERSIONFILE, "rt").read()
VSRE = r"^__version__ = ['\"]([^'\"]*)['\"]"
mo = re.search(VSRE, verstrline, re.M)
if mo:
    verstr = mo.group(1)
else:
    raise RuntimeError("Unable to find version string in %s." % (VERSIONFILE,))
git_tar = f"https://github.com/mle-infrastructure/mle-hyperopt/archive/v{verstr}.tar.gz"


setup(
    name="mle_hyperopt",
    version=verstr,
    author="Robert Tjarko Lange",
    author_email="robertlange0@gmail.com",
    description="Machine Learning Experiment Hyperparameter Optimization",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/mle-infrastructure/mle-hyperopt",
    download_url=git_tar,
    classifiers=[
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
    ],
    packages=find_packages(),
    include_package_data=True,
    zip_safe=False,
    platforms="any",
    python_requires=">=3.6",
    install_requires=parse_requirements(
        os.path.join(CURRENT_DIR, "requirements", "requirements.txt")
    ),
    tests_require=parse_requirements(
        os.path.join(CURRENT_DIR, "requirements", "requirements-test.txt")
    ),
    extras_require={
        "examples": parse_requirements(
            os.path.join(
                CURRENT_DIR, "requirements", "requirements-examples.txt"
            )
        ),
        "full": ["nevergrad", "scikit-optimize", "matplotlib", "seaborn"],
    },
    entry_points={
        "console_scripts": [
            "mle-search=mle_hyperopt.cli:search",
        ]
    },
)