old_contents: from distutils.core import setup
  setup(
    name = 'pybenchmark',
    packages = ['pybenchmark'], # this must be the same as the name above
    version = '0.0.6',
    description = 'A benchmark utility used in performance tests.',
    author = 'Eugene Duboviy',
    author_email = 'eugene.dubovoy@gmail.com',
    url = 'https://github.com/duboviy/pybenchmark', # use the URL to the github repo
    download_url = 'https://github.com/duboviy/pybenchmark/tarball/0.0.6', # I'll explain this in a second
    keywords = ['benchmark', 'performance', 'testing'], # arbitrary keywords
    classifiers=[
      "Programming Language :: Python",
      "Programming Language :: Python :: 3",
      "Intended Audience :: Developers",
      "License :: OSI Approved :: MIT License",
      "Operating System :: OS Independent",
      "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    long_description="""
  When measuring execution time, the result depends on the computer hardware.
  To be able to produce a universal measure, the simplest way is to benchmark the speed of a fixed sequence
  of code and calculate a ratio out of it. From there, the time taken by a function can be translated to a
  universal value that can be compared on any computer. Python provides a benchmark utility in its test
  package that measures the duration of a sequence of well-chosen operations.
  pybenchmark designed to provide a simple and pythonic way to get performance data.
  """,
    install_requires=[
      'psutil',
      'gevent',
    ],
  )
  
new_contents: from distutils.core import setup
  setup(
    name = 'pybenchmark',
    packages = ['pybenchmark'], # this must be the same as the name above
    version = '1.0.0',
    description = 'A benchmark utility used in performance tests.',
    author = 'Eugene Duboviy',
    author_email = 'eugene.dubovoy@gmail.com',
    url = 'https://github.com/duboviy/pybenchmark', # use the URL to the github repo
    download_url = 'https://github.com/duboviy/pybenchmark/tarball/1.0.0', # I'll explain this in a second
    keywords = ['benchmark', 'performance', 'testing'], # arbitrary keywords
    classifiers=[
      "Programming Language :: Python",
      "Programming Language :: Python :: 3",
      "Intended Audience :: Developers",
      "License :: OSI Approved :: MIT License",
      "Operating System :: OS Independent",
      "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    long_description="""
  When measuring execution time, the result depends on the computer hardware.
  To be able to produce a universal measure, the simplest way is to benchmark the speed of a fixed sequence
  of code and calculate a ratio out of it. From there, the time taken by a function can be translated to a
  universal value that can be compared on any computer. Python provides a benchmark utility in its test
  package that measures the duration of a sequence of well-chosen operations.
  pybenchmark designed to provide a simple and pythonic way to get performance data.
  """,
    install_requires=[
      'psutil',
      'gevent',
    ],
  )
  
subject: Add new final v1.0.0 PyPI release version