AI-generated possible solution for #10703 (B)#10925
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Hey - I've left some high level feedback:
- The code treats
project.optional-dependencies[extra_name]as if it had the same shape as dependency groups (e.g., passingextra_deps/optional_dependencies[group]asstandard_section), but PEP 621 extras are lists of requirement strings, so this is likely to break_remove_packagesor produce malformed content; consider adapting the logic to the actual extras structure instead of reusing the group-handling path directly. - By appending extras into
group_sectionsand reusing thegroup-based removal flow, you’re conceptually conflating dependency groups and extras; it may be clearer and less error‑prone to handle extras in a separate, explicit branch rather than mixing them into the existing group pipeline.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- The code treats `project.optional-dependencies[extra_name]` as if it had the same shape as dependency groups (e.g., passing `extra_deps`/`optional_dependencies[group]` as `standard_section`), but PEP 621 extras are lists of requirement strings, so this is likely to break `_remove_packages` or produce malformed content; consider adapting the logic to the actual extras structure instead of reusing the group-handling path directly.
- By appending extras into `group_sections` and reusing the `group`-based removal flow, you’re conceptually conflating dependency groups and extras; it may be clearer and less error‑prone to handle extras in a separate, explicit branch rather than mixing them into the existing group pipeline.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
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Hi,
We're a research team at JetBrains studying how maintainers evaluate AI-generated code.
We opened two pull requests as possible solutions to the corresponding issue, each taking a different approach. Both were generated by AI and have not yet been manually reviewed by a human. We’d like to get your perspective on these two solutions via a 10-minute survey. Regardless of your role, we want to know which solution actually saves you work, and which qualities of AI-generated code matter most when working with the codebase.
If you're open to participating in our study, just reply "I'm interested" here, and we'll send the details to the contact specified in your GitHub profile. If you'd rather not take part, feel free to close the PRs – we won’t post them again.
Thanks!
Issue #10703