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JupyterLab Extension for Stata Syntax Highlighting

Github Actions Status

Stata syntax highlighting for JupyterLab 4+.

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install jupyterlab_stata_highlight3

Uninstall

To remove the extension, execute:

pip uninstall jupyterlab_stata_highlight3

Customize Keywords

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_stata_highlight3 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_stata_highlight3

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-stata-highlight3 within that folder.

Packaging the extension

See RELEASE

Credits and Licenses

Please follow licenses specified above (if any)

Metadata

Release files for jupyterlab-stata-highlight3 0.1.6

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-stata-highlight3 0.1.6
File Size Uploaded
jupyterlab_stata_highlight3-0.1.6.tar.gz 512.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for jupyterlab-stata-highlight3 0.1.6
File Interpreter ABI Platform
jupyterlab_stata_highlight3-0.1.6-py3-none-any.whl Python 3 none any Details

Total release size: 575.0 kB

Release files / jupyterlab_stata_highlight3-0.1.6.tar.gz

Download URL jupyterlab_stata_highlight3-0.1.6.tar.gz
Size 512.6 kB
Tags Source
SHA-256 checksum
How to use checksums
7fc83925609395784445c19041d2fb029ef0a179c35c6385cf44fa8198200e05
BLAKE2b-256 checksum
How to use checksums
9c77e52192ccf6423689b709762d4430ff5e47bd0d91e62b70f2fc9321552ed2
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Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.0.1 CPython/3.12.8

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jan 6, 2025.

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Release files / jupyterlab_stata_highlight3-0.1.6-py3-none-any.whl

Download URL jupyterlab_stata_highlight3-0.1.6-py3-none-any.whl
Size 62.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7c547018d665b94d238f84c1fe967e8634003fa93894ddf5bc1bc37a6c5fe673
BLAKE2b-256 checksum
How to use checksums
baa6f71b2d77c018d0a6118bac87772730340bf0c5085b44c44c33ce7ec94225
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.0.1 CPython/3.12.8

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jan 6, 2025.

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Release history Release notifications | RSS feed

This release

0.1.6 This release

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

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