Metadata-Version: 2.4
Name: amzn-sagemaker-ray-jupyterlab-extension
Version: 0.1.1
Summary: SageMaker JupyterLab Ray extension for HyperPod Ray cluster discovery and connection (name placeholder)
Author: Amazon
License: Apache-2.0
Project-URL: Homepage, https://aws.amazon.com/sagemaker/
Keywords: Jupyter,JupyterLab,JupyterLab4,Ray,HyperPod
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Framework :: Jupyter
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# amzn-sagemaker-ray-jupyterlab-extension

SageMaker JupyterLab Ray extension for HyperPod Ray cluster discovery and connection.

> **Note:** This `0.1.0` release is a placeholder published to reserve the
> `amzn-sagemaker-ray-jupyterlab-extension` project name on PyPI. It ships no
> functional extension code yet -- the real extension will be published in a
> later release.

## Publishing

This package is set up to publish to PyPI through a pipeline, mirroring the
SageMaker JupyterLab Astra extension. There is no separate branch to maintain:
the pipeline runs `brazil-build`, which executes `build.sh`, which builds the
distribution and runs `twine upload`.

- `./build.sh build`   -- build + validate the sdist/wheel into `dist/` (no upload)
- `./build.sh release` -- build, validate, and `twine upload` (this is what the
  pipeline runs by default)

Credentials are supplied the same way as the Astra publishing pipeline -- via
the standard twine environment variables (`TWINE_USERNAME` / `TWINE_PASSWORD`)
or a `~/.pypirc`, sourced from the pipeline's PyPI token secret.

To bump the published version, edit `version` in `pyproject.toml`.
