text: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  
  # Always prefer setuptools over distutils
  from setuptools import setup, find_packages
  # To use a consistent encoding
  from codecs import open
  from os import path
  import re
  
  here = path.abspath(path.dirname(__file__))
  
  # Get the version string
  with open(path.join(here, 'zhusuan', '__init__.py'), encoding='utf-8') as f:
      version = re.search(r'__version__ = \'(.*?)\'', f.read()).group(1)
  
  # Get the long description from the README file
  with open(path.join(here, 'README.md'), encoding='utf-8') as f:
      readme = f.read()
  
  setup(
      name='zhusuan-pytorch',
  
      # Versions should comply with PEP440.  For a discussion on single-sourcing
      # the version across setup.py and the project code, see
      # https://packaging.python.org/en/latest/single_source_version.html
      version=version,
  
      description='ZhuSuan-PyTorch: A Library for Bayesian Deep Learning',
      long_description=readme,
  
      # The project's main homepage.
      url='https://github.com/thuwzy/ZhuSuan-PyTorch',
  
      # Author details
      author='ZhuSuan contributors',
      author_email='wang-zy21@mails.tsinghua.edu.cn',
  
      # Choose your license
      license='MIT',
  
      # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
      classifiers=[
          # How mature is this project? Common values are
          #   3 - Alpha
          #   4 - Beta
          #   5 - Production/Stable
          'Development Status :: 3 - Alpha',
  
          # Indicate who your project is intended for
          'Intended Audience :: Developers',
          'Intended Audience :: Science/Research',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
  
          # Pick your license as you wish (should match "license" above)
          'License :: OSI Approved :: MIT License',
  
          # Specify the Python versions you support here. In particular, ensure
          # that you indicate whether you support Python 2, Python 3 or both.
          'Programming Language :: Python :: 3.7',
          'Programming Language :: Python :: 3.8',
          'Programming Language :: Python :: 3.9',
      ],
  
      # What does your project relate to?
      keywords='zhusuan generative probabilistic bayesian deep learning',
  
      # You can just specify the packages manually here if your project is
      # simple. Or you can use find_packages().
      packages=find_packages(exclude=['tests', 'tests.*',
                                      'examples', 'examples.*']),
  
      # Alternatively, if you want to distribute just a my_module.py, uncomment
      # this:
      #   py_modules=["my_module"],
  
      # List run-time dependencies here.  These will be installed by pip when
      # your project is installed. For an analysis of "install_requires" vs pip's
      # requirements files see:
      # https://packaging.python.org/en/latest/requirements.html
      install_requires=['numpy>=1.19.1',],
  
      # List additional groups of dependencies here (e.g. development
      # dependencies). You can install these using the following syntax,
      # for example:
      # $ pip install -e .[dev,test]
      extras_require={
          'dev': [
              'Sphinx>=4.0.2',
              'sphinx_rtd_theme',
              'sphinxcontrib-bibtex>=2.3.0',
              'pep8',
              'scipy',
              'coverage',
              'mock'
          ],
          'examples': [
              'scipy',
              'matplotlib',
              'scikit-image',
              'progressbar2'
          ],
      },
  )