old_contents: from setuptools import setup, find_packages
  import versioneer
  
  
  long_description = """
  Pymbar (https://simtk.org/home/pymbar) is a library
  that provides tools for optimally combining simulations
  from multiple thermodynamic states using maximum likelihood
  methods to compute free energies (normalization constants)
  and expectation values from all of the samples simultaneously.
  """
  
  setup(
      name="pymbar",
      author="Levi N. Naden and Jaime Rodriguez-Guerra and Michael R. Shirts and John D. Chodera",
      author_email="levi.naden@choderalab.org, jaime.rodriguez-guerra@choderalab.org, michael.shirts@virginia.edu, john.chodera@choderalab.org",
      description="Python implementation of the multistate Bennett acceptance ratio (MBAR) method",
      license="MIT",
      keywords="molecular mechanics, forcefield, Bayesian parameterization",
      url="http://github.com/choderalab/pymbar",
      packages=find_packages(),
      long_description=long_description[1:],
      classifiers=["License :: OSI Approved :: MIT", "Programming Language :: Python :: 3"],
      version=versioneer.get_version(),
      cmdclass=versioneer.get_cmdclass(),
      python_requires=">=3.6",
      install_requires=["numpy>=1.12",
                        "scipy",
                        "numexpr",
                        "jaxlib;platform_system!='Windows'",
                        "jax;platform_system!='Windows'"
                        ],
  )
  
new_contents: from setuptools import setup, find_packages
  import versioneer
  
  
  long_description = """
  Pymbar (https://simtk.org/home/pymbar) is a library
  that provides tools for optimally combining simulations
  from multiple thermodynamic states using maximum likelihood
  methods to compute free energies (normalization constants)
  and expectation values from all of the samples simultaneously.
  """
  
  setup(
      name="pymbar",
      author="Levi N. Naden and Jaime Rodriguez-Guerra and Michael R. Shirts and John D. Chodera",
      author_email="levi.naden@choderalab.org, jaime.rodriguez-guerra@choderalab.org, michael.shirts@virginia.edu, john.chodera@choderalab.org",
      description="Python implementation of the multistate Bennett acceptance ratio (MBAR) method",
      license="MIT",
      keywords="molecular mechanics, forcefield, Bayesian parameterization",
      url="http://github.com/choderalab/pymbar",
      packages=find_packages(),
      long_description=long_description[1:],
      classifiers=["License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3"],
      version=versioneer.get_version(),
      cmdclass=versioneer.get_cmdclass(),
      python_requires=">=3.6",
      install_requires=["numpy>=1.12",
                        "scipy",
                        "numexpr",
                        "jaxlib;platform_system!='Windows'",
                        "jax;platform_system!='Windows'"
                        ],
  )
  
subject: Fix the classifier