old_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  
  # pylint: skip-file
  
  import os
  import sys
  
  from setuptools import find_packages, setup
  
  ##### Dependencies of GPflow
  
  # We do not want to install tensorflow in the readthedocs environment, where we
  # use autodoc_mock_imports instead. Hence we use this flag to decide whether or
  # not to append tensorflow and tensorflow_probability to the requirements:
  if os.environ.get("READTHEDOCS") != "True":
      requirements = [
          "tensorflow>=2.2.0",
          "tensorflow-probability>0.10.0",  # tensorflow-probability==0.10.0 doesn't install correctly, https://github.com/tensorflow/probability/issues/991
          # NOTE: once we require tensorflow-probability>=0.12, we can remove our custom deepcopy handling
          "setuptools>=41.0.0",  # to satisfy dependency constraints
      ]
  
  else:
      requirements = []
  
  requirements.extend(
      [
          "numpy",
          "scipy",
          "multipledispatch>=0.6",
          "tabulate",
          "typing_extensions",
          "packaging",
          "deprecated",
          "dataclasses;python_version<'3.7'",
          "lark>=1.1.0",
      ]
  )
  
  
  def read_file(filename: str) -> str:
      with open(filename, encoding="utf-8") as f:
          return f.read().strip()
  
  
  version = read_file("VERSION")
  readme_text = read_file("README.md")
  
  packages = find_packages(".", exclude=["tests"])
  
  setup(
      name="gpflow",
      version=version,
      author="James Hensman, Alex Matthews",
      author_email="james.hensman@gmail.com",
      description="Gaussian process methods in TensorFlow",
      long_description=readme_text,
      long_description_content_type="text/markdown",
      license="Apache License 2.0",
      keywords="machine-learning gaussian-processes kernels tensorflow",
      url="https://www.gpflow.org",
      project_urls={
          "Source on GitHub": "https://github.com/GPflow/GPflow",
          "Documentation": "https://gpflow.readthedocs.io",
      },
      packages=packages,
      include_package_data=True,
      install_requires=requirements,
      extras_require={"ImageToTensorBoard": ["matplotlib"]},
      python_requires=">=3.6",
      classifiers=[
          "License :: OSI Approved :: Apache Software License",
          "Natural Language :: English",
          "Operating System :: MacOS :: MacOS X",
          "Operating System :: Microsoft :: Windows",
          "Operating System :: POSIX :: Linux",
          "Programming Language :: Python :: 3.6",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
      ],
  )
  
new_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  
  # pylint: skip-file
  
  import os
  import sys
  
  from setuptools import find_packages, setup
  
  ##### Dependencies of GPflow
  
  # We do not want to install tensorflow in the readthedocs environment, where we
  # use autodoc_mock_imports instead. Hence we use this flag to decide whether or
  # not to append tensorflow and tensorflow_probability to the requirements:
  if os.environ.get("READTHEDOCS") != "True":
      requirements = [
          "tensorflow>=2.2.0",
          "tensorflow-probability>0.10.0",  # tensorflow-probability==0.10.0 doesn't install correctly, https://github.com/tensorflow/probability/issues/991
          # NOTE: once we require tensorflow-probability>=0.12, we can remove our custom deepcopy handling
          "setuptools>=41.0.0",  # to satisfy dependency constraints
      ]
  
  else:
      requirements = []
  
  requirements.extend(
      [
          "numpy",
          "scipy",
          "multipledispatch>=0.6",
          "tabulate",
          "typing_extensions",
          "packaging",
          "deprecated",
          "dataclasses;python_version<'3.7'",
          "lark>=1.1.0",
      ]
  )
  
  
  def read_file(filename: str) -> str:
      with open(filename, encoding="utf-8") as f:
          return f.read().strip()
  
  
  version = read_file("VERSION")
  readme_text = read_file("README.md")
  
  packages = find_packages(".", exclude=["tests"])
  
  setup(
      name="gpflow",
      version=version,
      author="James Hensman, Alex Matthews",
      author_email="james.hensman@gmail.com",
      description="Gaussian process methods in TensorFlow",
      long_description=readme_text,
      long_description_content_type="text/markdown",
      license="Apache License 2.0",
      keywords="machine-learning gaussian-processes kernels tensorflow",
      url="https://www.gpflow.org",
      project_urls={
          "Source on GitHub": "https://github.com/GPflow/GPflow",
          "Documentation": "https://gpflow.readthedocs.io",
      },
      packages=packages,
      package_data={"": ["*.lark"]},
      include_package_data=True,
      install_requires=requirements,
      extras_require={"ImageToTensorBoard": ["matplotlib"]},
      python_requires=">=3.6",
      classifiers=[
          "License :: OSI Approved :: Apache Software License",
          "Natural Language :: English",
          "Operating System :: MacOS :: MacOS X",
          "Operating System :: Microsoft :: Windows",
          "Operating System :: POSIX :: Linux",
          "Programming Language :: Python :: 3.6",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
      ],
  )
  
subject: Include the .lark files when installing GPflow. (#1785)