content: """
  Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
  To create the package for pypi.
  1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.
  2. Commit these changes with the message: "Release: VERSION"
  3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
     Push the tag to git: git push --tags origin master
  4. Build both the sources and the wheel. Do not change anything in setup.py between
     creating the wheel and the source distribution (obviously).
     For the wheel, run: "python setup.py bdist_wheel" in the top level directory.
     (this will build a wheel for the python version you use to build it).
     For the sources, run: "python setup.py sdist"
     You should now have a /dist directory with both .whl and .tar.gz source versions.
  5. Check that everything looks correct by uploading the package to the pypi test server:
     twine upload dist/* -r pypitest
     (pypi suggest using twine as other methods upload files via plaintext.)
     Check that you can install it in a virtualenv by running:
     pip install -i https://testpypi.python.org/pypi transformers
  6. Upload the final version to actual pypi:
     twine upload dist/* -r pypi
  7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
  """
  
  import shutil
  from pathlib import Path
  
  from setuptools import find_packages, setup
  
  
  setup(
      name="textbrewer",
      version="0.2.1.post1",
      author="ziqingyang",
      author_email="zqyang5@iflytek.com",
      description="PyTorch-based knowledge distillation toolkit for natural language processing",
      long_description="PyTorch-based knowledge distillation toolkit for natural language processing.",
      #long_description=open("READMEshort.md", "r", encoding="utf-8").read(),
      long_description_content_type="text/markdown",
      keywords="NLP deep learning knowledge distillation pytorch",
      #license="",
      url="http://textbrewer.hfl-rc.com",
      #package_dir={"": "src"},
      packages=['textbrewer'],
      package_dir={'':'src'},
      install_requires=[
          "numpy",
          "torch >= 1.1",
          "tensorboard",
          "tqdm"
      ],
  
      python_requires=">=3.6",
      classifiers=[
          #"Development Status :: 5 - Production/Stable",
          "Intended Audience :: Developers",
          "Intended Audience :: Education",
          "Intended Audience :: Science/Research",
          "License :: OSI Approved :: Apache Software License",
          "Operating System :: OS Independent",
          "Programming Language :: Python :: 3.6",
          "Programming Language :: Python :: 3.7",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
      ],
  )
  