yocto-gl
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Read pip version using setuptools
import pip
gives a warning with new versions of setuptools. Implements the change suggested by @MauritsDescamps
Related Issues/PRs
#8605
What changes are proposed in this pull request?
Read pip version using setuptools
How is this PR tested?
- [ ] Existing unit/integration tests
- [ ] New unit/integration tests
- [x] Manual tests
Does this PR require documentation update?
- [x] No. You can skip the rest of this section.
- [ ] Yes. I've updated:
- [ ] Examples
- [ ] API references
- [ ] Instructions
Release Notes
Is this a user-facing change?
- [x] No. You can skip the rest of this section.
- [ ] Yes. Give a description of this change to be included in the release notes for MLflow users.
What component(s), interfaces, languages, and integrations does this PR affect?
As a util change, this should affect multiple components.
Components
- [ ]
area/artifacts
: Artifact stores and artifact logging - [ ]
area/build
: Build and test infrastructure for MLflow - [ ]
area/deployments
: MLflow Deployments client APIs, server, and third-party Deployments integrations - [ ]
area/docs
: MLflow documentation pages - [ ]
area/examples
: Example code - [ ]
area/model-registry
: Model Registry service, APIs, and the fluent client calls for Model Registry - [ ]
area/models
: MLmodel format, model serialization/deserialization, flavors - [ ]
area/recipes
: Recipes, Recipe APIs, Recipe configs, Recipe Templates - [ ]
area/projects
: MLproject format, project running backends - [ ]
area/scoring
: MLflow Model server, model deployment tools, Spark UDFs - [ ]
area/server-infra
: MLflow Tracking server backend - [ ]
area/tracking
: Tracking Service, tracking client APIs, autologging
Interface
- [ ]
area/uiux
: Front-end, user experience, plotting, JavaScript, JavaScript dev server - [ ]
area/docker
: Docker use across MLflow's components, such as MLflow Projects and MLflow Models - [ ]
area/sqlalchemy
: Use of SQLAlchemy in the Tracking Service or Model Registry - [ ]
area/windows
: Windows support
Language
- [ ]
language/r
: R APIs and clients - [ ]
language/java
: Java APIs and clients - [ ]
language/new
: Proposals for new client languages
Integrations
- [ ]
integrations/azure
: Azure and Azure ML integrations - [ ]
integrations/sagemaker
: SageMaker integrations - [ ]
integrations/databricks
: Databricks integrations
How should the PR be classified in the release notes? Choose one:
- [x]
rn/none
- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" section - [ ]
rn/breaking-change
- The PR will be mentioned in the "Breaking Changes" section - [ ]
rn/feature
- A new user-facing feature worth mentioning in the release notes - [ ]
rn/bug-fix
- A user-facing bug fix worth mentioning in the release notes - [ ]
rn/documentation
- A user-facing documentation change worth mentioning in the release notes
Documentation preview for 497d06a54f004d12c48b017d79dab24b3aad4e49 will be available when this CircleCI job completes successfully.
More info
- Ignore this comment if this PR does not change the documentation.
- It takes a few minutes for the preview to be available.
- The preview is updated when a new commit is pushed to this PR.
- This comment was created by https://github.com/mlflow/mlflow/actions/runs/7920917352.
@mlflow-automation autoformat
@mlflow-automation autoformat
still getting this warning in 2.11.3
Is there anything blocking this PR?
Still having this issue in 2.14.3, when could we expect a resolution?