from setuptools import setup, find_packages

with open("README.md", "r", encoding="utf-8") as fh:

    long_description = fh.read()

classifiers = [

    'Intended Audience :: Developers',

    'Programming Language :: Python :: 3.7',

    'License :: OSI Approved :: MIT License',

    "Operating System :: OS Independent"

]

setup(

     name='tigerbx',

     version='0.1.18',

     description='Processing MRI images based on deep-learning',

     long_description_content_type='text/markdown',

     url='https://github.com/htylab/tigerbx',

     author='Biomedical Imaging Lab, Taiwan Tech',

     author_email='',

     License='MIT',

     classifiers=classifiers,

     keywords='MRI brain segmentation',

     packages=find_packages(),

     package_data={

        'tigerbx': ['template/*.nii.gz'],  # include the MNI152 template

     },

     include_package_data=True,

     entry_points={

        'console_scripts': [

            'tigerbx = tigerbx.bx:main',

        ]

    },

     python_requires='>=3.7',

     install_requires=[

             'numpy>=1.21.6,<2.0',

             'nilearn>=0.9.2',

             'optuna',

         ]

)