text: '''
  ncortex
  ========
  
  Simple experimentation environment for both model-based and model-free
  reinforcement learning algorithms.
  '''
  
  from os import path
  from setuptools import setup
  
  CUR_DIR = path.abspath(path.dirname(__file__))
  
  
  def readme():
      ''' Helper to locate the README file.
      '''
      with open(path.join(CUR_DIR, 'README.md'), encoding='utf-8') as file:
          return file.read()
  
  
  setup(
      name='ncortex',
      version='0.0.1.dev0',
      description='Model-based and model-free RL implementations.',
      long_description=readme(),
      long_description_content_type='text/markdown',
      url='http://github.com/pvarin/ncortex',
      author='Patrick Varin',
      author_email='patrickjvarin@gmail.com',
      license='MIT',
      packages=['ncortex'],
      install_requires=[
          'tensorflow',
          'gym',
          'meshcat',
          'autograd',
      ],
      setup_requires=[
          'pytest-runner',
          'pytest-pylint'
      ],
      test_requires=[
          'pytest',
          'pylint'
      ],
      zip_safe=False)
  