setup.py

"""Install script for setuptools."""

import os
from setuptools import find_namespace_packages
from setuptools import setup

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


def _get_version():
  with open(os.path.join(_CURRENT_DIR, "modularbayes", "__init__.py")) as fp:
    for line in fp:
      if line.startswith("__version__") and "=" in line:
        version = line[line.find("=") + 1:].strip(" '\"\n")
        if version:
          return version
    raise ValueError("`__version__` not defined in `modularbayes/__init__.py`")


def _parse_requirements(path):
  with open(os.path.join(_CURRENT_DIR, path)) as f:
    return [
        line.rstrip()
        for line in f
        if not (line.isspace() or line.startswith("#"))
    ]


setup(
    name="modularbayes",
    version=_get_version(),
    url="https://github.com/chriscarmona/modularbayes",
    license="MIT",
    author="Chris Carmona",
    description=("Modular Bayesian Inference."),
    long_description=open(os.path.join(_CURRENT_DIR, "README.md")).read(),
    long_description_content_type="text/markdown",
    author_email="carmona@stats.ox.ac.uk",
    maintainer_email="carmona@stats.ox.ac.uk",
    keywords="modular bayesian inference cut smi posterior probability distribution",
    packages=find_namespace_packages(exclude=["*_test.py"]),
    install_requires=_parse_requirements(
        os.path.join(_CURRENT_DIR, "requirements", "requirements.txt")),
    tests_require=_parse_requirements(
        os.path.join(_CURRENT_DIR, "requirements", "requirements-tests.txt")),
    zip_safe=False,  # Required for full installation.
    include_package_data=True,
    python_requires=">=3.8",
    classifiers=[
        "Development Status :: 2 - Pre-Alpha",
        "Environment :: Console",
        "Intended Audience :: Science/Research",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Programming Language :: Python",
        "Programming Language :: Python :: 3",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Topic :: Scientific/Engineering :: Mathematics",
        "Topic :: Software Development :: Libraries :: Python Modules",
    ],
)