jupyterlab_macaulay2
CodeMirror-based syntax highlighting for Macaulay2 in Jupyter code cells
The extension registers Macaulay2 with JupyterLab's CodeMirror language
registry, so code cells running the
Macaulay2 kernel and
files ending in .m2 are highlighted as you type.
It also highlights Macaulay2 that JupyterLab itself renders plain: macaulay2
and m2 code fences in markdown cells, whatever their case, and the
documentation the kernel emits as raw HTML, which rendermime's markdown
highlighter never sees. Both use the same language and the same theme-aware
colors as the editor.
Alongside that, it fixes a few things about how the kernel's output is laid
out: examples and nets are left-aligned, and documentation Usage: lines keep
the label and the code on one line.
Requirements
- JupyterLab >= 4.3.5
Install
To install the extension, execute:
pip install jupyterlab_macaulay2
Uninstall
To remove the extension, execute:
pip uninstall jupyterlab_macaulay2
Contributing
If you would like to contribute to this extension, please refer to the Contributing Guide.
Metadata
Release files for jupyterlab-macaulay2 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| jupyterlab_macaulay2-0.3.0.tar.gz | 194.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jupyterlab_macaulay2-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 222.6 kB
Release files / jupyterlab_macaulay2-0.3.0.tar.gz
| Download URL | jupyterlab_macaulay2-0.3.0.tar.gz |
|---|---|
| Size | 194.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9220537f76a690ffb143eb492c03933eb4fbf6499ab80ef5196a7c571e54e5e4
|
|
BLAKE2b-256 checksum How to use checksums |
ae5de8007adf7a3f9c6a2fa7813d08862718745926946e3ea635eb31e9198353
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / jupyterlab_macaulay2-0.3.0-py3-none-any.whl
| Download URL | jupyterlab_macaulay2-0.3.0-py3-none-any.whl |
|---|---|
| Size | 27.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
29e6556ee8b6b35466e6642b0ee26773dc7fcff6e0d1fd8680c1d6fa5f560124
|
|
BLAKE2b-256 checksum How to use checksums |
2903e64d5c8a141de35d16215aa7f924465f7dbe53d1a479e03820eeaf193a03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Security for jupyterlab-macaulay2 0.3.0
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.