#!/usr/bin/env python

# -*- coding: utf-8 -*-

# Always prefer setuptools over distutils

from setuptools import setup, find_packages

from codecs import open

from os import path

import re

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

# Get the version string

with open(path.join(here, 'DL_Models', '__init__.py'), encoding='utf-8') as f:

    version = re.search(r'__version__ = \'(.*?)\'', f.read()).group(1)

# Get the long description from the README file

with open(path.join(here, 'README.md'), encoding='utf-8') as f:

    readme = f.read()

setup(

    name='eeg-dl',

    version=version,

    description='A Deep Learning library for EEG Signals Classification',

    long_description=readme,

    long_description_content_type='text/markdown',

    # The project's main homepage.

    url='https://github.com/SuperBruceJia/EEG-DL',

    # Author details

    author='Shuyue Jia',

    author_email='shuyuej@ieee.org',

    # Choose your license

    license='MIT',

    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',

        'Intended Audience :: Science/Research',

        'Topic :: Scientific/Engineering :: Artificial Intelligence',

        # 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 3 or both.

        'Programming Language :: Python :: 3.5',

        'Programming Language :: Python :: 3.6',

    ],

    # What does your project relate to?

    keywords='eeg tensorflow deep learning',

    # You can just specify the packages manually here if your project is

    # simple. Or you can use find_packages().

    packages=find_packages(exclude=['DL_Models', 'DL_Models.*']),

    # Alternatively, if you want to distribute just a my_module.py, uncomment

    # this:

    #   py_modules=["my_module"],

    # List run-time dependencies here.  These will be installed by pip when

    # your project is installed. For an analysis of "install_requires" vs pip's

    # requirements files see:

    # https://packaging.python.org/en/latest/requirements.html

    install_requires=['numpy>=1.14.0',

                      'six',

                      'pandas',

                      'scipy',

                      'matplotlib',

                      'pandas',

                      'sklearn']

)