text: from os import path
  
  from setuptools import setup
  
  __VERSION__ = '0.3.0'
  
  with open("README.md", "r") as f:
      long_description = f.read()
  
  here = path.abspath(path.dirname(__file__))
  
  
  setup(
      name='darkgreybox',
      version=__VERSION__,
      description='DarkGreyBox: An Open-Source Data-Driven Python Building Thermal Model'
                  ' Inspired By Genetic Algorithms and Machine Learning',
      long_description=long_description,
      long_description_content_type="text/markdown",
      keywords='python model thermal machine-learning genetic-algorithm data-science',
  
      # The project's main homepage.
      url='https://github.com/czagoni/darkgreybox',
      download_url='https://github.com/czagoni/darkgreybox/archive/refs/tags/0.3.0.tar.gz',
  
      # Author details
      author='csaba zagoni',
      author_email='czagoni@greenpeace.org',
  
      # 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 :: 5 - Production/Stable',
  
          # Indicate who your project is intended for
          'Intended Audience :: Developers',
          'Intended Audience :: Science/Research',
  
          # 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',
          'Programming Language :: Python :: 3.8',
          'License :: OSI Approved :: GNU General Public License v3 (GPLv3)'
      ],
  
      # What does your project relate to?
  
      # You can just specify the packages manually here if your project is
      # simple. Or you can use find_packages().
      packages=['darkgreybox'],
  
      # 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=[
          'lmfit~=1.0.3',
          'pandas~=1.4.0',
          'joblib~=1.1.0'
      ],
  
      # 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': [
              'statsmodels~=0.13.1',
              'numdifftools~=0.9.39',
              'scikit-learn~=1.0.2',
              'matplotlib~=3.5.1',
              'jupyter==1.0.0',
              'notebook==6.4.8',
              'autopep8==1.5.7',
              'isort==5.10.1',
          ],
          'test': [
              'flake8~=4.0.1',
              'pytest~=6.2.2',
              'pytest-mock~=3.7.0',
              'pytest-cov~=3.0.0',
          ],
      },
  
      # To provide executable scripts, use entry points in preference to the
      # "scripts" keyword. Entry points provide cross-platform support and allow
      # pip to create the appropriate form of executable for the target platform.
      entry_points={
      },
  
      include_package_data=True
  )
  