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Pull Request Overview
This PR introduces a GitHub Action workflow to automate the deployment of the rispy package to PyPI and updates the README badges accordingly.
- Updated README.md to display PyPI status and download badges.
- Added .github/workflows/publish.yml to trigger deployments using GitHub Actions on tag push events.
Reviewed Changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| README.md | Updated PyPI badge presentation and added downloads badge |
| .github/workflows/publish.yml | Introduces workflow to deploy the package to PyPI |
J535D165
approved these changes
May 23, 2025
Collaborator
|
Feel free to merge these PRs in the order you prefer. I don't wanna break anything. |
# Conflicts: # pyproject.toml
Collaborator
Author
|
@J535D165 just cut a new release to confirm everything is working: https://github.com/MrTango/rispy/actions/runs/15215428334 One step closer to a v1.0... |
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Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Add deployments to PyPI through GitHub Actions and trusted publishers. The workflow is currently set to release a package to PyPI whenever a tag
v*is applied to the repository.An example successful deployment is shown here:
After the successful testing, I switched to the production (not testing) PyPI deployment.