rmuse/setup.py at master · giacomov/rmuse · GitHub

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# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from os import path

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

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

setup(

    name='rmuse',  # Required
    version='0.1',  # Required
    description='An AI to generate sequences of musical chords',  # Optional
    long_description=long_description,  # Optional
    long_description_content_type='text/markdown',  # Optional (see note above)
    url='https://github.com/giacomov/rmuse',  # Optional
    author='Giacomo Vianello',  # Optional
    author_email='giacomo.vianello@gmail.com',  # Optional
    classifiers=[  # Optional
        'Development Status :: 3 - Alpha',
        'Intended Audience :: Developers',
        'Topic :: Music',
        'License :: BSD-3',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
    ],
    keywords='music composition chords rnn lstm',  # Optional
    packages=find_packages(exclude=['contrib', 'docs', 'tests']),  # Required
    install_requires=['numpy',
                      'pandas',
                      'keras',
                      'tensorflow < 2',
                      'ipython',
                      'pyfluidsynth > 1.0',
                      'audiolazy',
                      'requests',
                      'tables'],
    extras_require={  # Optional
        'dev': ['check-manifest'],
        'test': ['coverage', 'pytest'],
    },

    include_package_data=True,

    # Although 'package_data' is the preferred approach, in some case you may
    # need to place data files outside of your packages. See:
    # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
    #
    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
    #data_files=[('my_data', ['data/data_file'])],  # Optional

    # To provide executable scripts, use entry points in preference to the
    # "scripts" keyword. Entry points provide cross-platform support and allow
    # `pip` to create the appropriate form of executable for the target
    # platform.
    #
    # For example, the following would provide a command called `sample` which
    # executes the function `main` from this package when invoked:
    # entry_points={  # Optional
    #     'console_scripts': [
    #         'sample=sample:main',
    #     ],
    # },

    # 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/pypa/sampleproject/issues',
        'Funding': 'https://donate.pypi.org',
        'Say Thanks!': 'http://saythanks.io/to/example',
        'Source': 'https://github.com/pypa/sampleproject/',
    },
)