old_contents: #! /usr/bin/env python
  # -*- coding: utf-8 -*-
  __author__ = 'maxim'
  
  import os
  from setuptools import setup, find_packages
  
  def read(file_):
    return open(os.path.join(os.path.dirname(__file__), file_)).read()
  
  setup(
    name = 'hyper-engine',
    version = '0.1.2',
    author = 'Maxim Podkolzine',
    author_email = 'maxim.podkolzine@gmail.com',
    description = 'Python library for hyper-parameters optimization',
    license = 'Apache 2.0',
    keywords = 'machine learning, hyper-parameters, model selection, bayesian optimization',
    url = 'https://github.com/maxim5/hyper-engine',
    packages=find_packages(exclude=['*tests*']),
    long_description=read('README.rst'),
    requires=['numpy', 'scipy', 'tensorflow'],
  )
  
new_contents: #! /usr/bin/env python
  # -*- coding: utf-8 -*-
  __author__ = 'maxim'
  
  import os
  from setuptools import setup, find_packages
  
  def read(file_):
    return open(os.path.join(os.path.dirname(__file__), file_)).read()
  
  setup(
    name = 'hyper-engine',
    version = '0.1.2',
    author = 'Maxim Podkolzine',
    author_email = 'maxim.podkolzine@gmail.com',
    description = 'Python library for Bayesian hyper-parameters optimization',
    license = 'Apache 2.0',
    keywords = 'machine learning, hyper-parameters, model selection, bayesian optimization',
    url = 'https://github.com/maxim5/hyper-engine',
    packages = find_packages(exclude=['*tests*']),
    long_description = read('README.rst'),
    install_requires = ['numpy', 'scipy'],
    extras_require = {
      'tf': ['tensorflow'],
    },
  )
  
subject: split requirements into mandatory and extra