text: 
  # Copyright (C) 2019 Intel Corporation
  #
  # SPDX-License-Identifier: MIT
  
  import os.path as osp
  import re
  import setuptools
  
  
  def find_version(file_path=None):
      if not file_path:
          file_path = osp.join(osp.dirname(osp.abspath(__file__)),
              'datumaro', 'version.py')
  
      with open(file_path, 'r') as version_file:
          version_text = version_file.read()
  
      # PEP440:
      # https://www.python.org/dev/peps/pep-0440/#appendix-b-parsing-version-strings-with-regular-expressions
      pep_regex = r'([1-9]\d*!)?(0|[1-9]\d*)(\.(0|[1-9]\d*))*((a|b|rc)(0|[1-9]\d*))?(\.post(0|[1-9]\d*))?(\.dev(0|[1-9]\d*))?'
      version_regex = r'VERSION\s*=\s*.(' + pep_regex + ').'
      match = re.match(version_regex, version_text)
      if not match:
          raise RuntimeError("Failed to find version string in '%s'" % file_path)
  
      version = version_text[match.start(1) : match.end(1)]
      return version
  
  
  with open('README.md', 'r') as fh:
      long_description = fh.read()
  
  setuptools.setup(
      name="datumaro",
      version=find_version(),
      author="Intel",
      author_email="maxim.zhiltsov@intel.com",
      description="Dataset Framework",
      long_description=long_description,
      long_description_content_type="text/markdown",
      url="https://github.com/opencv/cvat/datumaro",
      packages=setuptools.find_packages(exclude=['tests*']),
      classifiers=[
          "Programming Language :: Python :: 3",
          "License :: OSI Approved :: MIT License",
          "Operating System :: OS Independent",
      ],
      python_requires='>=3.5',
      install_requires=[
          'GitPython',
          'lxml',
          'matplotlib',
          'numpy',
          'opencv-python',
          'Pillow',
          'PyYAML',
          'pycocotools',
          'tensorboardX',
          'tensorflow',
      ],
      entry_points={
          'console_scripts': [
              'datum=datumaro:main',
          ],
      },
  )