old_contents: # coding=utf-8
  # Copyright 2022 Google LLC.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """Setup script for installing large_scale_mmdma as a pip module."""
  import os
  from setuptools import find_packages
  from setuptools import setup
  
  folder = os.path.dirname(__file__)
  # Reads the version
  __version__ = None
  with open(os.path.join(folder, "lsmmdma/version.py")) as f:
    exec(f.read(), globals())
  
  readme_path = os.path.join(folder, "README.md")
  readme_contents = ""
  if os.path.exists(readme_path):
    with open(readme_path) as fp:
      readme_contents = fp.read().strip()
  
  # Reads the requirements from requirements.txt
  folder = os.path.dirname(__file__)
  path = os.path.join(folder, "requirements.txt")
  install_requires = []
  if os.path.exists(path):
    with open(path) as fp:
      install_requires = [line.strip() for line in fp]
  
  
  setup(
      name="lsmmdma",
      version=__version__,
      description="Scaling MMD-MA.",
      author="Google LLC",
      author_email="lpapaxanthos@google.com",
      url="https://github.com/google-research/large_scale_mmdma",
      long_description=readme_contents,
      long_description_content_type="text/markdown",
      license="Apache 2.0",
      packages=find_packages(),
      package_data={},
      install_requires=install_requires,
      classifiers=[
          "Intended Audience :: Science/Research",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
          "Programming Language :: Python :: 3",
          "License :: OSI Approved :: Apache Software License",
      ],
      keywords="kernel, data integration",
      requires_python=">=3.6",
  )
  
  
  
new_contents: # coding=utf-8
  # Copyright 2022 Google LLC.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """Setup script for installing large_scale_mmdma as a pip module."""
  import os
  from setuptools import find_packages
  from setuptools import setup
  
  folder = os.path.dirname(__file__)
  # Reads the version
  __version__ = None
  with open(os.path.join(folder, "lsmmdma/version.py")) as f:
    exec(f.read(), globals())
  
  readme_path = os.path.join(folder, "README.md")
  readme_contents = ""
  if os.path.exists(readme_path):
    with open(readme_path) as fp:
      readme_contents = fp.read().strip()
  
  # Reads the requirements from requirements.txt
  folder = os.path.dirname(__file__)
  path = os.path.join(folder, "requirements.txt")
  install_requires = []
  if os.path.exists(path):
    with open(path) as fp:
      install_requires = [line.strip() for line in fp]
  
  
  setup(
      name="lsmmdma",
      version=__version__,
      description="Scaling MMD-MA.",
      author="Google LLC",
      author_email="no-reply@google.com",
      url="https://github.com/google-research/large_scale_mmdma",
      long_description=readme_contents,
      long_description_content_type="text/markdown",
      license="Apache 2.0",
      packages=find_packages(),
      package_data={},
      install_requires=install_requires,
      classifiers=[
          "Intended Audience :: Science/Research",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
          "Programming Language :: Python :: 3",
          "License :: OSI Approved :: Apache Software License",
      ],
      keywords="kernel, data integration",
      requires_python=">=3.6",
  )
  
  
  
subject: Edit setup.py