setup.py

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()

EM_CODECS = [
  "imagecodecs",
  "simplejpeg",
  "pyspng-seunglab>=1.0.0",
]

SEGMENTATION_CODECS = [ 
  "compressed-segmentation>=2.1.1",
  "compresso>=3.0.0",
  "crackle-codec>=0.8.0,<2.0.0",
]

FP_CODECS = [ 
  "fpzip", 
  "zfpc",
]

OTHER_FORMATS = [
  "blosc",
  "intern",
  "zstandard",
]

setuptools.setup(
  name="cloud-volume",
  version="11.1.2",
  setup_requires=[
    'numpy<1.17; python_version<"3.5"',
    'numpy; python_version>="3.5"',
  ],
  python_requires=">=3.8",
  install_requires=requirements(),
  # Environment Marker Examples:
  # https://www.python.org/dev/peps/pep-0496/
  extras_require={
    "boss": [
      "intern>=0.9.11",
      "blosc",
    ],
    ':sys_platform!="win32"': [
      "posix_ipc>=1.0.4",
      "psutil>=5.4.3",
    ],
    "mesh_viewer": [ 'vtk' ],
    "skeleton_viewer": [ 'matplotlib>=3.6' ],
    "all_viewers": [ 'vtk', 'matplotlib>=3.6' ],
    "dask": [ 'dask[array]' ],
    "zarr": [ 'blosc', 'zstandard' ],
    "test": [ "pytest", "pytest-cov", "codecov", "requests_mock", "scipy"],

    # image compression codecs
    "blosc": [ "blosc" ],
    "jxl": [ "imagecodecs" ],
    "png": [ "pyspng-seunglab" ],
    "jpeg": [ "simplejpeg" ],
    "fpzip": [ "fpzip" ],
    "zfpc": [ "zfpc" ],
    "crackle": [ "crackle-codec" ],
    "compresso": [ "compresso" ],

    "em_codecs": EM_CODECS,
    "seg_codecs": SEGMENTATION_CODECS,
    "fp_codecs": FP_CODECS,

    "all_codecs": SEGMENTATION_CODECS + EM_CODECS + FP_CODECS + OTHER_FORMATS,

    "all": SEGMENTATION_CODECS + EM_CODECS + FP_CODECS + OTHER_FORMATS + [
      "dask[array]",
      "vtk",
      "matplotlib",
      "pytest",
      "pytest-cov",
      "codecov",
      "requests_mock",
      "scipy",
      "pillow",
    ],
  },
  author="William Silversmith, Nico Kemnitz, Ignacio Tartavull, and others",
  author_email="ws9@princeton.edu",
  packages=setuptools.find_packages(),
  package_data={
    'cloudvolume': [
      '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 :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering",
    "Intended Audience :: Science/Research",
    "Operating System :: POSIX",
    "Operating System :: MacOS",
    "Operating System :: Microsoft :: Windows :: Windows 10",
    "Topic :: Utilities",
  ],
)