text: import sys
  from pathlib import Path
  
  from setuptools import setup
  from os import path
  
  sys.path.append(str(Path(__file__).parent))
  import pdfminer as package
  
  
  with open(path.join(path.abspath(path.dirname(__file__)), "README.md")) as f:
      readme = f.read()
  
  setup(
      name="pdfminer.hitalent",
      version=package.__version__,
      packages=["pdfminer"],
      package_data={"pdfminer": ["cmap/*.pickle.gz", "py.typed"]},
      install_requires=[
          "charset-normalizer~=2.0.0",
          "cryptography~=36.0.0",
      ],
      extras_require={
          "dev": ["pytest", "nox", "black", "mypy == 0.931"],
          "docs": ["sphinx", "sphinx-argparse"],
          "image": ["Pillow"],
      },
      description="PDF parser and analyzer",
      long_description=readme,
      long_description_content_type="text/markdown",
      license="MIT/X",
      author="Yusuke Shinyama + Philippe Guglielmetti + Xu Ma",
      author_email="beantsxu@gmail.com",
      url="https://github.com/HiTalentAlgorithms/pdfminer.hitalent",
      scripts=[
          "tools/pdf2txt.py",
          "tools/dumppdf.py",
      ],
      keywords=[
          "pdf parser",
          "pdf converter",
          "layout analysis",
          "text mining",
      ],
      python_requires=">=3.6",
      classifiers=[
          "Programming Language :: Python",
          "Programming Language :: Python :: 3.6",
          "Programming Language :: Python :: 3.7",
          "Programming Language :: Python :: 3.8",
          "Programming Language :: Python :: 3.9",
          "Programming Language :: Python :: 3 :: Only",
          "Development Status :: 5 - Production/Stable",
          "Environment :: Console",
          "Intended Audience :: Developers",
          "Intended Audience :: Science/Research",
          "License :: OSI Approved :: MIT License",
          "Topic :: Text Processing",
      ],
  )
  