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SCXML

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A JupyterLab extension.

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install SCXML

Uninstall

To remove the extension, execute:

pip uninstall SCXML

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 SCXML 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 SCXML

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 SCXML 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

Metadata

Release files for SCXML 0.1.0

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

Source distribution (sdist)

Source distribution for SCXML 0.1.0
File Size Uploaded Provenance
scxml-0.1.0.tar.gz 291.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for SCXML 0.1.0
File Interpreter ABI Platform
scxml-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 584.8 kB

Release files / scxml-0.1.0.tar.gz

Download URL scxml-0.1.0.tar.gz
Size 291.4 kB
Tags Source
SHA-256 checksum
How to use checksums
71039cc502cab6704dd36d304cb2361d697ed0645cd89d4e6011df06f0d39caf
BLAKE2b-256 checksum
How to use checksums
610778a55ae06bccf0b8d68cdf6573166ae20fc8d37f99e73f6c84d07096bc6f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.10.16

Release files / scxml-0.1.0-py3-none-any.whl

Download URL scxml-0.1.0-py3-none-any.whl
Size 293.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b5cf3350dbf6efcfd47abc71f962901085ef2510a4b4d2084b0e5cd820654bee
BLAKE2b-256 checksum
How to use checksums
48fb5535f7407cb235726670015fc300023f065e08615fa2d8190c62c4944abc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.10.16

Security for SCXML 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files No provenance

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