Jupyterlab-courselevels

Latest version: v0.8.1

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0.6.4

- remove rules for hide-input
- add jupyterlab-hidecell as a dependency instead

0.6.3

- reimplement toggling of courselevels with md_toggle_multi
- use nested css

0.6.2

- add a settings to enable/disable the menubar buttons

0.6.0

- keyboard shortcuts all protected by `Ctrl-\` because e.g. `Ctrl-X` is already
the usual Cut command
- add support for admonitions
- add support to clean metadata

0.4.2

- initial release


Making a new release of jupyterlab_courselevels

The extension can be published to `PyPI` and `npm` manually or using the [Jupyter Releaser](https://github.com/jupyter-server/jupyter_releaser).

Manual release

Python package

This extension can be distributed as Python packages. All of the Python
packaging instructions are in the `pyproject.toml` file to wrap your extension in a
Python package. Before generating a package, you first need to install some tools:

bash
pip install build twine hatch


Bump the version using `hatch`. By default this will create a tag.
See the docs on [hatch-nodejs-version](https://github.com/agoose77/hatch-nodejs-version#semver) for details.

bash
hatch version <new-version>


To create a Python source package (`.tar.gz`) and the binary package (`.whl`) in the `dist/` directory, do:

bash
python -m build


> `python setup.py sdist bdist_wheel` is deprecated and will not work for this package.

Then to upload the package to PyPI, do:

bash
twine upload dist/*


NPM package

To publish the frontend part of the extension as a NPM package, do:

bash
npm login
npm publish --access public


Automated releases with the Jupyter Releaser

The extension repository should already be compatible with the Jupyter Releaser.

Check out the [workflow documentation](https://jupyter-releaser.readthedocs.io/en/latest/get_started/making_release_from_repo.html) for more information.

Here is a summary of the steps to cut a new release:

- Add `ADMIN_GITHUB_TOKEN`, `PYPI_TOKEN` and `NPM_TOKEN` to the [Github Secrets](https://docs.github.com/en/actions/security-guides/encrypted-secrets) in the repository
- Go to the Actions panel
- Run the "Step 1: Prep Release" workflow
- Check the draft changelog
- Run the "Step 2: Publish Release" workflow

Publishing to `conda-forge`

If the package is not on conda forge yet, check the documentation to learn how to add it: https://conda-forge.org/docs/maintainer/adding_pkgs.html

Otherwise a bot should pick up the new version publish to PyPI, and open a new PR on the feedstock repository automatically.

Links

Releases

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