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

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

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

setup(
    name='vsmrfs',
    version='0.9.0',
    description='Vector-Space Markov Random Fields',
    long_description=long_description,
    url='https://github.com/tansey/vsmrfs',
    author='Wesley Tansey',
    author_email='tansey@cs.utexas.edu',
    license='MIT',

    classifiers=[
        'Development Status :: 3 - Alpha',
        'Intended Audience :: Science/Research',
        'Topic :: Scientific/Engineering',
        'License :: OSI Approved :: MIT License',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
    ],
    keywords='statistics biostatistics machinelearning mrf graphical models',

    packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
    install_requires=['numpy', 'scipy', 'matplotlib'],
    package_data={
        'vsmrfs': [],
    },
    entry_points={
        'console_scripts': [
            'vsmrf-gen=generate_data:main',
            'vsmrf-learn=run_node_learning:main',
            'vsmrf-stitch=stitch_nodes:main',
        ],
    },
)