Giter Club home page Giter Club logo

jupyterlab-skip-traceback's Introduction

jupyterlab-skip-traceback

PyPI version PyPI DM Github Actions Status Binder

A JupyterLab extension for rendering Errors with a copy/paste button and expand/collapse.

This is inspired by the notebook version here.

Screenshot

Requirements

  • JupyterLab >= 3.0

Install

pip install jupyterlab-skip-traceback

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-skip-traceback 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 run 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 run 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 run 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

Publishing

Before starting, you'll need to have run: pip install twine jupyter_packaging

  1. Update the version in package.json and update the release date in CHANGELOG.md
  2. Commit the change in step 1, tag it, then push it
git commit -am <msg>
git tag vX.Z.Y
git push && git push --tags
  1. Create the artifacts
rm -rf dist tsconfig.tsbuildinfo lib jupyterlab-skip-traceback/labextension
jlpm build
python setup.py sdist bdist_wheel
  1. Test this against the test pypi. You can then install from here to test as well:gi
twine upload --repository-url https://test.pypi.org/legacy/ dist/*
# In a new venv
pip install --index-url https://test.pypi.org/simple/ jupyterlab_skip_traceback
  1. Upload this to pypi:
twine upload dist/*

Uninstall

pip uninstall jupyterlab-skip-traceback

History

This plugin was contributed back to the community by the D. E. Shaw group.

D. E. Shaw Logo

License

This project is released under a BSD-3-Clause license.

We love contributions! Before you can contribute, please sign and submit this Contributor License Agreement (CLA). This CLA is in place to protect all users of this project.

"Jupyter" is a trademark of the NumFOCUS foundation, of which Project Jupyter is a part.

jupyterlab-skip-traceback's People

Contributors

mlucool avatar nishikantparmariam avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.