text: from io import open
  
  from setuptools import find_packages, setup
  
  
  def parse_requirements(filename):
      """
      Parse a requirements pip file returning the list of required packages. It exclude commented lines and --find-links directives.
  
      Args:
          filename: pip requirements requirements
  
      Returns:
          list of required package with versions constraints
  
      """
      with open(filename) as file:
          parsed_requirements = file.read().splitlines()
      parsed_requirements = [line.strip()
                             for line in parsed_requirements
                             if not ((line.strip()[0] == "#") or line.strip().startswith('--find-links'))]
      return parsed_requirements
  
  
  def get_dependency_links(filename):
      """
       Parse a requirements pip file looking for the --find-links directive.
      Args:
          filename:  pip requirements requirements
  
      Returns:
          list of find-links's url
      """
      with open(filename) as file:
          parsed_requirements = file.read().splitlines()
      dependency_links = list()
      for line in parsed_requirements:
          line = line.strip()
          if line.startswith('--find-links'):
              dependency_links.append(line.split('=')[1])
      return dependency_links
  
  
  dependency_links = get_dependency_links('requirements.txt')
  parsed_requirements = parse_requirements('requirements.txt')
  
  setup(
      name="farm-haystack",
      version="0.3.0",
      author="Malte Pietsch, Timo Moeller, Branden Chan, Tanay Soni",
      author_email="malte.pietsch@deepset.ai",
      description="Neural Question Answering at Scale. Use modern transformer based models like BERT to find answers in large document collections",
      long_description_content_type="text/x-rst",
      keywords="QA Question-Answering Reader Retriever BERT roberta albert squad mrc transfer-learning language-model transformer",
      license="Apache",
      url="https://github.com/deepset-ai/haystack",
      download_url="https://github.com/deepset-ai/haystack/archive/0.3.0.tar.gz",
      packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
      dependency_links=dependency_links,
      install_requires=parsed_requirements,
      python_requires=">=3.6.0",
      tests_require=["pytest"],
      classifiers=[
          "Intended Audience :: Science/Research",
          "License :: OSI Approved :: Apache Software License",
          "Programming Language :: Python :: 3",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
      ],
  )
  