old_contents: import os
  import setuptools
  import sys
  
  def read(fname):
    with open(os.path.join(os.path.dirname(__file__), fname), 'rt') as f:
      return f.read()
  
  def requirements():
    with open(os.path.join(os.path.dirname(__file__), 'requirements.txt'), 'rt') as f:
      return f.readlines()
  
  setuptools.setup(
    name="cloud-volume",
    version="3.6.0",
    setup_requires=[
      'numpy<1.17; python_version<"3.5"',
      'numpy; python_version>="3.5"',
    ],
    python_requires="~=3.4", # >= 3.4 < 4.0
    install_requires=requirements(),
    # Environment Marker Examples:
    # https://www.python.org/dev/peps/pep-0496/
    extras_require={
      "boss": [
        "intern>=0.9.11",
        "blosc==1.8.3",
      ],
      ':sys_platform!="win32"': [
        "posix_ipc>=1.0.4",
        "psutil==5.4.3",
      ],
      "mesh_viewer": [ 'vtk' ],
      "skeleton_viewer": [ 'matplotlib' ],
      "all_viewers": [ 'vtk', 'matplotlib' ],
      "dask": [ 'dask[array]' ],
      "test": [ "pytest", "pytest-cov", "codecov", "requests_mock", "scipy"]
    },
    author="William Silversmith, Nico Kemnitz, Ignacio Tartavull, and others",
    author_email="ws9@princeton.edu",
    packages=setuptools.find_packages(),
    package_data={
      'cloudvolume': [
        './microviewer/*',
        'LICENSE',
        'requirements.txt',
      ],
    },
    description="A serverless client for reading and writing Neuroglancer Precomputed volumes both locally and on cloud services.",
    long_description=read('README.md'),
    long_description_content_type="text/markdown",
    license = "BSD 3-Clause",
    keywords = "neuroglancer volumetric-data numpy connectomics microscopy image-processing biomedical-image-processing s3 gcs mesh meshes skeleton skeletons",
    url = "https://github.com/seung-lab/cloud-volume/",
    classifiers=[
      "Intended Audience :: Developers",
      "Development Status :: 5 - Production/Stable",
      "License :: OSI Approved :: BSD License",
      "Programming Language :: Python",
      "Programming Language :: Python :: 3",
      "Programming Language :: Python :: 3.5",
      "Programming Language :: Python :: 3.6",
      "Programming Language :: Python :: 3.7",
      "Programming Language :: Python :: 3.8",
      "Topic :: Scientific/Engineering",
      "Intended Audience :: Science/Research",
      "Operating System :: POSIX",
      "Operating System :: MacOS",
      "Operating System :: Microsoft :: Windows :: Windows 10",
      "Topic :: Utilities",
    ],
  )
  
new_contents: import os
  import setuptools
  import sys
  
  def read(fname):
    with open(os.path.join(os.path.dirname(__file__), fname), 'rt') as f:
      return f.read()
  
  def requirements():
    with open(os.path.join(os.path.dirname(__file__), 'requirements.txt'), 'rt') as f:
      return f.readlines()
  
  setuptools.setup(
    name="cloud-volume",
    version="3.6.0",
    setup_requires=[
      'numpy<1.17; python_version<"3.5"',
      'numpy; python_version>="3.5"',
    ],
    python_requires="~=3.4", # >= 3.4 < 4.0
    install_requires=requirements(),
    # Environment Marker Examples:
    # https://www.python.org/dev/peps/pep-0496/
    extras_require={
      "boss": [
        "intern>=0.9.11",
        "blosc==1.8.3",
      ],
      ':sys_platform!="win32"': [
        "posix_ipc>=1.0.4",
        "psutil==5.4.3",
      ],
      "mesh_viewer": [ 'vtk' ],
      "skeleton_viewer": [ 'matplotlib' ],
      "all_viewers": [ 'vtk', 'matplotlib' ],
      "dask": [ 'dask[array]' ],
      "test": [ "pytest", "pytest-cov", "codecov", "requests_mock", "scipy"]
    },
    author="William Silversmith, Nico Kemnitz, Ignacio Tartavull, and others",
    author_email="ws9@princeton.edu",
    packages=setuptools.find_packages(),
    package_data={
      'cloudvolume': [
        './microviewer/*',
        'LICENSE',
        'requirements.txt',
      ],
    },
    description="A serverless client for reading and writing Neuroglancer Precomputed volumes both locally and on cloud services.",
    long_description=read('README.md'),
    long_description_content_type="text/markdown",
    license = "License :: OSI Approved :: BSD License",
    keywords = "neuroglancer volumetric-data numpy connectomics microscopy image-processing biomedical-image-processing s3 gcs mesh meshes skeleton skeletons",
    url = "https://github.com/seung-lab/cloud-volume/",
    classifiers=[
      "Intended Audience :: Developers",
      "Development Status :: 5 - Production/Stable",
      "License :: OSI Approved :: BSD License",
      "Programming Language :: Python",
      "Programming Language :: Python :: 3",
      "Programming Language :: Python :: 3.5",
      "Programming Language :: Python :: 3.6",
      "Programming Language :: Python :: 3.7",
      "Programming Language :: Python :: 3.8",
      "Topic :: Scientific/Engineering",
      "Intended Audience :: Science/Research",
      "Operating System :: POSIX",
      "Operating System :: MacOS",
      "Operating System :: Microsoft :: Windows :: Windows 10",
      "Topic :: Utilities",
    ],
  )
  
subject: use Trove identifier for license