text: #!/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']
  )
  