Skip to main content

A button in JupyterLab to run the code cells and then to hide the code cells.

Project description

jupyterlab-exam-submission: Automatically hide code and/or output cells after running them

I wanted to allow students to use jupyter-lite to write computational exams. For this I made some logic that allows students to upload their notebooks to an endpoint with a unique token. However, I did not want students to see the logic behind this so this extension automatically runs all code cells once and hides the ones tagged with hide_code. If the tag hide_output is used, the output of the cell is also hidden.

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, use Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterlab_exam_submission directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Testing the extension

Frontend tests

This extension is using Jest for JavaScript code testing.

To execute them, execute:

jlpm
jlpm test

Acknowledgements

Built on top of the excellent work by OSSCAR Team for their jupyterlab-exam-submission extension.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyterlab_exam_submission-4.0.0.tar.gz (153.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jupyterlab_exam_submission-4.0.0-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file jupyterlab_exam_submission-4.0.0.tar.gz.

File metadata

File hashes

Hashes for jupyterlab_exam_submission-4.0.0.tar.gz
Algorithm Hash digest
SHA256 940cf23751d7398f658b577704e79b84b86c10e11e6f3c6aed0dd96782e21f39
MD5 b8914bf9443af09f91adbc5869599e58
BLAKE2b-256 61a74442e0e1fcc0bc088f8cc32af6a82ace6fd34ec7ed8d96bd4c1be3f12b93

See more details on using hashes here.

File details

Details for the file jupyterlab_exam_submission-4.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyterlab_exam_submission-4.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d956efb475646a8c539f060802ad198ecb2c65d35c8e79a069cded2fb85b480a
MD5 aa81c89aab2079f098033cd315603f9a
BLAKE2b-256 b371a9b460a569a4f57988e7a2aa1f3c46a114eece95d364aba6eca337690795

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page