text: from pkg_resources import DistributionNotFound, get_distribution
  from distutils.core import setup
  
  
  def get_dist(pkgname):
      try:
          return get_distribution(pkgname)
      except DistributionNotFound:
          return None
  
  install_deps = [
      'numpy',
      'regex',
      'tqdm',
      'gym'
  
  ]
  tf_ver = '2.0.0a'
  if get_dist('tensorflow>='+tf_ver) is None and get_dist('tensorflow_gpu>='+tf_ver) is None:
      install_deps.append('tensorflow>='+tf_ver)
  
  setup(
    name = 'mitdeeplearning',         # How you named your package folder (MyLib)
    packages = ['mitdeeplearning'],   # Chose the same as "name"
    version = '0.2.0',      # Start with a small number and increase it with every change you make
    license='MIT',        # Chose a license from here: https://help.github.com/articles/licensing-a-repository
    description = 'Official software labs for MIT Introduction to Deep Learning (http://introtodeeplearning.com)',   # Give a short description about your library
    author = 'Alexander Amini',                   # Type in your name
    author_email = 'introtodeeplearning-staff@mit.edu',      # Type in your E-Mail
    url = 'http://introtodeeplearning.com',   # Provide either the link to your github or to your website
    download_url = 'https://github.com/aamini/introtodeeplearning/archive/v0.2.0.tar.gz',    # I explain this later on
    keywords = ['deep learning', 'neural networks', 'tensorflow', 'introduction'],   # Keywords that define your package best
    install_requires=install_deps,
    classifiers=[
      'Development Status :: 3 - Alpha',      # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
      'License :: OSI Approved :: MIT License',   # Again, pick a license
      'Programming Language :: Python :: 3',      #Specify which pyhton versions that you want to support',
      'Programming Language :: Python :: 3.6',
    ],
    package_data={
        'mitdeeplearning': ['bin/*', 'data/*', 'data/faces/DF/*', 'data/faces/DM/*', 'data/faces/LF/*', 'data/faces/LM/*'],
     },
  
  )
  