Research
Security News
Quasar RAT Disguised as an npm Package for Detecting Vulnerabilities in Ethereum Smart Contracts
Socket researchers uncover a malicious npm package posing as a tool for detecting vulnerabilities in Etherium smart contracts.
This is a JupyterLab 4.x plugin that provides syntax highlighting for SysMLv2, compatible with the SysMLv2 Jupyter kernel from https://github.com/Systems-Modeling/SysML-v2-Pilot-Implementation/tree/master/org.omg.sysml.jupyter.kernel (which can be manually installed in JupyterLab 4.x with no apparent ill effects).
(the remainder of this README was generated automatically by the JupyterLab 4 plugin configurator, as was RELEASE.md)
To install the extension, execute:
pip install jupyterlab4_sysmlv2
To remove the extension, execute:
pip uninstall jupyterlab4_sysmlv2
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 jupyterlab4_sysmlv2 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
pip uninstall jupyterlab4_sysmlv2
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 jupyterlab4_sysmlv2
within that folder.
See RELEASE
FAQs
Syntax highlighting for SysMLv2.
We found that jupyterlab4-sysmlv2 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
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