Skip to main content

jupyterlab-symbol-algorithm-extension2

This extension is used for the COMPSCI 2SD3 and COMPSCI 3TB3 courses.

Requirements

  • JupyterLab >= 3.0

Install

To install the extension, execute:

pip install jupyterlab-symbol-algorithm-extension2

Uninstall

To remove the extension, execute:

pip uninstall jupyterlab-symbol-algorithm-extension2

Contributing

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-symbol-algorithm-extension2 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

Development uninstall

pip uninstall jupyterlab-symbol-algorithm-extension2

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named jupyterlab-symbol-algorithm-extension2 within that folder.

Testing the extension

Frontend tests

This extension is using Jest for JavaScript code testing.

To execute them, execute:

jlpm
jlpm test

Integration tests

This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.

More information are provided within the ui-tests README.

Packaging the extension

See RELEASE

Release files for jupyterlab-symbol-algorithm-extension2 0.1.16

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for jupyterlab-symbol-algorithm-extension2 0.1.16
File Size Uploaded
jupyterlab_symbol_algorithm_extension2-0.1.16.tar.gz 442.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for jupyterlab-symbol-algorithm-extension2 0.1.16
File Interpreter ABI Platform
jupyterlab_symbol_algorithm_extension2-0.1.16-py3-none-any.whl Python 3 none any Details

Total release size: 448.0 kB

Release files / jupyterlab_symbol_algorithm_extension2-0.1.16.tar.gz

Download URL jupyterlab_symbol_algorithm_extension2-0.1.16.tar.gz
Size 442.8 kB
Tags Source
SHA-256 checksum
How to use checksums
bdbef50ac229f9d69673afef148b56e64363fe66d23b3ddd887db93915d918e6
BLAKE2b-256 checksum
How to use checksums
d8a2e2f7c488c797b16cca1e33fd101d0a7bc6aef37705f8eaa8f4e1754a8dac
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.2

Release files / jupyterlab_symbol_algorithm_extension2-0.1.16-py3-none-any.whl

Download URL jupyterlab_symbol_algorithm_extension2-0.1.16-py3-none-any.whl
Size 5.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f42effad7986604af310c207dd404ccae8dbd87692202935992e4710ea304f5d
BLAKE2b-256 checksum
How to use checksums
d9b3b8d3bed0c581f7d5f5ae98a419f9b5cfb5747e108a4fb5f1c64b968de448
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.2

Release history Release notifications | RSS feed

This release

0.1.16 This release

2 release files

0.1.15

2 release files

0.1.14

2 release files

0.1.13

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page