setup.py

"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""

# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path

here = path.abspath(path.dirname(__file__))

# Get the long description from the README_pkg file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()

setup(
    name='robbytorch',

    # Versions should comply with PEP440. For a discussion on single-sourcing
    # the version across setup.py and the project code, see
    # https://packaging.python.org/en/latest/single_source_version.html
    version='0.4.0',

    description='Cool package for robust AI',
    long_description=long_description,
    long_description_content_type='text/markdown',

    # The project's main homepage.
    url='https://github.com/mim-solutions/robbytorch',

    # Author details
    author='MIM Solutions',
    author_email='maciej.satkiewicz@mim-solutions.pl',

    # Choose your license
    license='MIT',

    # See https://pypi.python.org/pypi?%4Aaction=list_classifiers
    classifiers=[
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 4 - Beta',

        # Indicate who your project is intended for
        'Intended Audience :: Developers',
        'Topic :: Software Development :: Build Tools',

        # Pick your license as you wish (should match "license" above)
        'License :: OSI Approved :: MIT License',

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.7'
    ],

    # What does your project relate to?
    keywords=['pytorch', 'neural-networks', 'deep-learning', 'robust-learning', 'transfer-learning'],

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    package_dir={'': 'src'},  # Optional
    packages=find_packages(where='src'),

    python_requires='>=3.7, <4',

    # This field lists other packages that your project depends on to run.
    # Any package you put here will be installed by pip when your project is
    # installed, so they must be valid existing projects.
    #
    # For an analysis of "install_requires" vs pip's requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    install_requires=['numpy', 'matplotlib', 'tqdm', 'pandas', 'seaborn', 
        'livelossplot', 'mypy', 'mlflow', 'dill', 'pyinstrument', 'ipywidgets', 'opencv-python-headless', 'wandb'],

    # List additional URLs that are relevant to your project as a dict.
    #
    # This field corresponds to the "Project-URL" metadata fields:
    # https://packaging.python.org/specifications/core-metadata/#project-url-multiple-use
    #
    # Examples listed include a pattern for specifying where the package tracks
    # issues, where the source is hosted, where to say thanks to the package
    # maintainers, and where to support the project financially. The key is
    # what's used to render the link text on PyPI.
    project_urls={  # Optional
        'Bug Reports': 'https://github.com/mim-solutions/robbytorch/issues'
    }
)