updated tox
Fix for https://github.com/apache/beam/issues/30909
Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily:
- [ ] Mention the appropriate issue in your description (for example:
addresses #123), if applicable. This will automatically add a link to the pull request in the issue. If you would like the issue to automatically close on merging the pull request, commentfixes #<ISSUE NUMBER>instead. - [ ] Update
CHANGES.mdwith noteworthy changes. - [ ] If this contribution is large, please file an Apache Individual Contributor License Agreement.
See the Contributor Guide for more tips on how to make review process smoother.
To check the build health, please visit https://github.com/apache/beam/blob/master/.test-infra/BUILD_STATUS.md
GitHub Actions Tests Status (on master branch)
See CI.md for more information about GitHub Actions CI or the workflows README to see a list of phrases to trigger workflows.
Summary of Changes
Hello @derrickaw, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces a significant refactoring of the tox.ini configuration within the Python SDK. The primary goal is to enhance the maintainability and clarity of dependency management for various transformers testing environments. By transitioning from direct dependency listings to using environment variables, the configuration becomes more modular and easier to update, ensuring consistent and streamlined test setups across different dependency sets.
Highlights
- Refactored Dependency Management: The
tox.inifile has been updated to refactor how dependencies are declared and managed for thetransformerstest environments. - Environment Variable Usage: Specific dependencies for different
transformersversions (428, 447, 455, latest) are now defined withinDEPSenvironment variables in thesetenvsection. - Consolidated Common Dependencies: Common dependencies like
tensorflow,protobuf, andpiphave been grouped into aCOMMON_DEPSenvironment variable for cleaner configuration. - Updated Installation Command: The
pip installcommand in thecommandssection now dynamically installs dependencies by referencing the newly definedDEPSandCOMMON_DEPSenvironment variables.
Using Gemini Code Assist
The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.
Invoking Gemini
You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.
| Feature | Command | Description |
|---|---|---|
| Code Review | /gemini review |
Performs a code review for the current pull request in its current state. |
| Pull Request Summary | /gemini summary |
Provides a summary of the current pull request in its current state. |
| Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in pull request comments and review comments. |
| Help | /gemini help |
Displays a list of available commands. |
Customization
To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.
Limitations & Feedback
Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with :thumbsup: and :thumbsdown: on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.
You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.
[^1]: Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.
Run Python_ML PreCommit 3.12
Assigning reviewers:
R: @shunping for label python.
Note: If you would like to opt out of this review, comment assign to next reviewer.
Available commands:
stop reviewer notifications- opt out of the automated review toolingremind me after tests pass- tag the comment author after tests passwaiting on author- shift the attention set back to the author (any comment or push by the author will return the attention set to the reviewers)
The PR bot will only process comments in the main thread (not review comments).
Thank you, @derrickaw !