old_contents: from setuptools import setup, find_packages
  import sys, os.path
  
  # Don't import gym module here, since deps may not be installed
  sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'gym'))
  from version import VERSION
  
  # Environment-specific dependencies.
  extras = {
    'atari': ['atari_py~=0.2.0', 'opencv-python>=3.'],
    'box2d': ['box2d-py~=2.3.5'],
    'classic_control': [],
    'mujoco': ['mujoco_py>=1.50, <2.0', 'imageio'],
    'robotics': ['mujoco_py>=1.50, <2.0', 'imageio'],
  }
  
  # Meta dependency groups.
  extras['nomujoco'] = list(set([item for name, group in extras.items() if name != 'mujoco' and name != "robotics" for item in group]))
  extras['all'] = list(set([item for group in extras.values() for item in group]))
  
  setup(name='gym',
        version=VERSION,
        description='The OpenAI Gym: A toolkit for developing and comparing your reinforcement learning agents.',
        url='https://github.com/openai/gym',
        author='OpenAI',
        author_email='gym@openai.com',
        license='',
        packages=[package for package in find_packages()
                  if package.startswith('gym')],
        zip_safe=False,
        install_requires=[
          'scipy',
          'numpy>=1.10.4',
          'pyglet>=1.4.0,
          'Pillow<=8.2.0',
          'cloudpickle>=1.2.0,<1.7.0',
        ],
        extras_require=extras,
        package_data={'gym': [
          'envs/mujoco/assets/*.xml',
          'envs/classic_control/assets/*.png',
          'envs/robotics/assets/LICENSE.md',
          'envs/robotics/assets/fetch/*.xml',
          'envs/robotics/assets/hand/*.xml',
          'envs/robotics/assets/stls/fetch/*.stl',
          'envs/robotics/assets/stls/hand/*.stl',
          'envs/robotics/assets/textures/*.png']
        },
        tests_require=['pytest', 'mock'],
        python_requires='>=3.6',
        classifiers=[
            'Programming Language :: Python :: 3',
            'Programming Language :: Python :: 3.6',
            'Programming Language :: Python :: 3.7',
            'Programming Language :: Python :: 3.8',
            'Programming Language :: Python :: 3.9',
        ],
  )
  
new_contents: from setuptools import setup, find_packages
  import sys, os.path
  
  # Don't import gym module here, since deps may not be installed
  sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'gym'))
  from version import VERSION
  
  # Environment-specific dependencies.
  extras = {
    'atari': ['atari_py~=0.2.0', 'opencv-python>=3.'],
    'box2d': ['box2d-py~=2.3.5'],
    'classic_control': [],
    'mujoco': ['mujoco_py>=1.50, <2.0', 'imageio'],
    'robotics': ['mujoco_py>=1.50, <2.0', 'imageio'],
  }
  
  # Meta dependency groups.
  extras['nomujoco'] = list(set([item for name, group in extras.items() if name != 'mujoco' and name != "robotics" for item in group]))
  extras['all'] = list(set([item for group in extras.values() for item in group]))
  
  setup(name='gym',
        version=VERSION,
        description='The OpenAI Gym: A toolkit for developing and comparing your reinforcement learning agents.',
        url='https://github.com/openai/gym',
        author='OpenAI',
        author_email='gym@openai.com',
        license='',
        packages=[package for package in find_packages()
                  if package.startswith('gym')],
        zip_safe=False,
        install_requires=[
          'scipy',
          'numpy>=1.10.4',
          'pyglet>=1.4.0',
          'Pillow<=8.2.0',
          'cloudpickle>=1.2.0,<1.7.0',
        ],
        extras_require=extras,
        package_data={'gym': [
          'envs/mujoco/assets/*.xml',
          'envs/classic_control/assets/*.png',
          'envs/robotics/assets/LICENSE.md',
          'envs/robotics/assets/fetch/*.xml',
          'envs/robotics/assets/hand/*.xml',
          'envs/robotics/assets/stls/fetch/*.stl',
          'envs/robotics/assets/stls/hand/*.stl',
          'envs/robotics/assets/textures/*.png']
        },
        tests_require=['pytest', 'mock'],
        python_requires='>=3.6',
        classifiers=[
            'Programming Language :: Python :: 3',
            'Programming Language :: Python :: 3.6',
            'Programming Language :: Python :: 3.7',
            'Programming Language :: Python :: 3.8',
            'Programming Language :: Python :: 3.9',
        ],
  )
  
subject: fix qoute