setup.py

from distutils.core import setup

from setuptools import find_packages

setup(
    name='P34 ABM',
    description='Agent based model framework to simulate collectively foraging agents relying on their private and social'
                'visual cues. Written in pygame and python 3.7+',
    version='1.2.0',
    url='https://github.com/scioip34/ABM',
    maintainer='David Mezey and Dominik Deffner @ SCIoI',
    packages=find_packages(exclude=['tests']),
    package_data={'p34abm': ['*.txt']},
    python_requires=">=3.7",
    install_requires=[
        'pygame',
        'pygame-widgets',
        'numpy',
        'scipy',
        'matplotlib',
        'python-dotenv',
        'pandas',
        'influxdb<5.3.0',
        'opencv-python',
        'xvfbwrapper',
        'zarr',
        'fastcluster'
    ],
    extras_require={
        'test': [
            'bandit',
            'flake8',
            'pytest',
            'pytest-cov'
        ]
    },
    entry_points={
        'console_scripts': [
            'abm-start=abm.app:start',
            'abm-start-coopsig=abm.app_collective_signaling:start',
            'abm-start-visflock=abm.app_visual_flocking:start',
            'headless-abm-start=abm.app:start_headless',
            'playground-start=abm.app:start_playground',
            'playground-start-coopsig=abm.app_collective_signaling:start_playground',
            'playground-start-visflock=abm.app_visual_flocking:start_playground'
        ]
    },
    classifiers=[
        'Development Status :: 2 - Pre-Alpha',
        'Intended Audience :: Science/Research',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
        'Operating System :: Other OS',
        'Programming Language :: Python :: 3.8'
    ],
    test_suite='tests',
    zip_safe=False
)