Pulumi helpers. Especially useful for tooling created by the LabAutomationAndScreening github organization.
Project description
Usage
Documentation is hosted on ReadTheDocs.
Development
This project has a dev container. If you already have VS Code and Docker installed, you can click the badge above or here to get started. Clicking these links will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use.
To publish a new version of the repository, you can run the Publish workflow manually and publish to the staging registry from any branch, and you can check the 'Publish to Primary' option when on main to publish to the primary registry and create a git tag.
Updating from the template
This repository uses a copier template. To pull in the latest updates from the template, use the command:
copier update --trust --conflict rej --defaults
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file lab_auto_pulumi-0.2.0.tar.gz.
File metadata
- Download URL: lab_auto_pulumi-0.2.0.tar.gz
- Upload date:
- Size: 11.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
96a2c31170aaec3aecc526de9138adbccbb1ab2d676825be8b1a0d285f4b998a
|
|
| MD5 |
cb60922f4264f0fcd8ee584952cfb0f5
|
|
| BLAKE2b-256 |
578682666dfa008370ce42d376470829f168eeb62ae2bc3e0a53999bce97089b
|
File details
Details for the file lab_auto_pulumi-0.2.0-py3-none-any.whl.
File metadata
- Download URL: lab_auto_pulumi-0.2.0-py3-none-any.whl
- Upload date:
- Size: 13.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5a788632427f198eaa04300d12ca0791ce26272f966a92aea9b31531c84c9dd0
|
|
| MD5 |
7671664bfefbc8b4912d7e0cdb72b2d3
|
|
| BLAKE2b-256 |
252bc50bb6f40f34c52ece346a04a6809c47a23713f2c8eca093c6d84243d894
|
