text: # pylint: disable=invalid-name, exec-used
  """Setup xgboost package."""
  from __future__ import absolute_import
  import io
  import sys
  import os
  from setuptools import setup, find_packages
  
  # import subprocess
  sys.path.insert(0, '.')
  
  CURRENT_DIR = os.path.dirname(__file__)
  
  # We can not import `xgboost.libpath` in setup.py directly since xgboost/__init__.py
  # import `xgboost.core` and finally will import `numpy` and `scipy` which are setup
  # `install_requires`. That's why we're using `exec` here.
  libpath_py = os.path.join(CURRENT_DIR, 'xgboost/libpath.py')
  libpath = {'__file__': libpath_py}
  exec(compile(open(libpath_py, "rb").read(), libpath_py, 'exec'), libpath, libpath)
  
  LIB_PATH = []
  for libfile in libpath['find_lib_path']():
      try:
          relpath = os.path.relpath(libfile, CURRENT_DIR)
          LIB_PATH.append(relpath)
          break  # need only one
      except ValueError:
          continue
  
  print("Install libxgboost from: %s" % LIB_PATH)
  
  # Please use setup_pip.py for generating and deploying pip installation
  # detailed instruction in setup_pip.py
  setup(name='xgboost',
        version=open(os.path.join(CURRENT_DIR, 'xgboost/VERSION')).read().strip(),
        description="XGBoost Python Package",
        long_description=io.open(os.path.join(CURRENT_DIR, 'README.rst'), encoding='utf-8').read(),
        install_requires=[
            'numpy',
            'scipy',
        ],
        extras_require={
            'pandas': ['pandas'],
            'sklearn': ['sklearn'],
            'dask': ['dask', 'pandas', 'distributed'],
            'datatable': ['datatable'],
            'plotting': ['graphviz', 'matplotlib']
        },
        maintainer='Xu Xiao',
        maintainer_email='lovedreamf@gmail.com',
        zip_safe=False,
        packages=find_packages(),
        # this will use MANIFEST.in during install where we specify additional files,
        # this is the golden line
        include_package_data=True,
        data_files=[('xgboost', LIB_PATH)],
        license='Apache-2.0',
        classifiers=['License :: OSI Approved :: Apache Software License',
                     'Development Status :: 5 - Production/Stable',
                     'Operating System :: OS Independent',
                     'Programming Language :: Python',
                     'Programming Language :: Python :: 3',
                     'Programming Language :: Python :: 3.5',
                     'Programming Language :: Python :: 3.6',
                     'Programming Language :: Python :: 3.7'],
        python_requires='>=3.4',
        url='https://github.com/alipay/ant-xgboost')
  