Enable ruff preview features and fix all reported issues#18940
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Enable ruff preview features and fix all reported issues#18940
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@Copilot Thank you for the contribution! Could you fix the following issue(s)? ⚠ Invalid PR templateThis PR does not appear to have been filed using the MLflow PR template. Please copy the PR template from here and fill it out. |
Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
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[WIP] Add preview feature in tool.ruff.lint section
Enable ruff preview features and fix all reported issues
Nov 20, 2025
harupy
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Nov 20, 2025
Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
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@copilot LGTM, Let's update the PR description |
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Updated the PR description to clarify that the |
harupy
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Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
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Nov 20, 2025
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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: harupy <17039389+harupy@users.noreply.github.com> Signed-off-by: Tian Lan <sky.blue266000@gmail.com>
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Related Issues/PRs
#xxxWhat changes are proposed in this pull request?
This PR enables ruff preview mode and fixes all 29 linting violations detected. The changes are minimal and surgical:
How is this PR tested?
Verified with
ruff check .(0 errors), pre-commit hooks (all pass), and sample unit tests from modified files (e.g.,tests/utils/test_uri.py,tests/store/tracking/test_file_store.py).Does this PR require documentation update?
Release Notes
Is this a user-facing change?
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/tracking: Tracking Service, tracking client APIs, autologgingarea/models: MLmodel format, model serialization/deserialization, flavorsarea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/evaluation: MLflow model evaluation features, evaluation metrics, and evaluation workflowsarea/gateway: MLflow AI Gateway client APIs, server, and third-party integrationsarea/prompts: MLflow prompt engineering features, prompt templates, and prompt managementarea/tracing: MLflow Tracing features, tracing APIs, and LLM tracing functionalityarea/projects: MLproject format, project running backendsarea/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesHow should the PR be classified in the release notes? Choose one:
rn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notesShould this PR be included in the next patch release?
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