Metadata-Version: 2.1
Name: huggingface
Version: 0.0.1
Summary: HuggingFace is a single library comprising the main HuggingFace libraries.
Home-page: https://github.com/huggingface/huggingface
Author: HuggingFace Inc.
Author-email: thomas@huggingface.co
License: Apache 2.0
Download-URL: https://github.com/huggingface/huggingface/tags
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence

Note:

   VERSION needs to be formatted following the MAJOR.MINOR.PATCH convention
   (we need to follow this convention to be able to retrieve versioned scripts)

Simple check list for release 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.

   Then change the SCRIPTS_VERSION back to to "master" in __init__.py (but don't commit this change)

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.)
   You may have to specify the repository url, use the following command then:
   twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/

   Check that you can install it in a virtualenv by running:
   pip install -i https://testpypi.python.org/pypi datasets

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.

8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed
   Update the version mapping in docs/source/_static/js/custom.js

9. Update README.md to redirect to correct documentation.