Branch: refs/heads/main
  Home:   https://github.com/scikit-learn/scikit-learn
  Commit: ff78e258ccf11068e2b3a433c51517ae56234f88
      
https://github.com/scikit-learn/scikit-learn/commit/ff78e258ccf11068e2b3a433c51517ae56234f88
  Author: Dimitri Papadopoulos Orfanos 
<[email protected]>
  Date:   2025-04-15 (Tue, 15 Apr 2025)

  Changed paths:
    M .circleci/config.yml
    M .github/workflows/arm-unit-tests.yml
    M .github/workflows/lint.yml
    M .pre-commit-config.yaml
    M README.rst
    M azure-pipelines.yml
    M benchmarks/bench_hist_gradient_boosting_adult.py
    M benchmarks/bench_hist_gradient_boosting_higgsboson.py
    M build_tools/get_comment.py
    M build_tools/linting.sh
    M doc/developers/contributing.rst
    M examples/applications/plot_species_distribution_modeling.py
    M examples/applications/plot_time_series_lagged_features.py
    M examples/applications/plot_topics_extraction_with_nmf_lda.py
    M examples/covariance/plot_mahalanobis_distances.py
    M examples/ensemble/plot_bias_variance.py
    M examples/feature_selection/plot_rfe_digits.py
    M examples/feature_selection/plot_select_from_model_diabetes.py
    M examples/linear_model/plot_tweedie_regression_insurance_claims.py
    M examples/manifold/plot_lle_digits.py
    M examples/manifold/plot_manifold_sphere.py
    M examples/miscellaneous/plot_partial_dependence_visualization_api.py
    M examples/model_selection/plot_likelihood_ratios.py
    M examples/model_selection/plot_roc.py
    M examples/text/plot_document_classification_20newsgroups.py
    M maint_tools/bump-dependencies-versions.py
    M pyproject.toml
    M sklearn/_loss/tests/test_loss.py
    M sklearn/_min_dependencies.py
    M sklearn/cluster/_feature_agglomeration.py
    M sklearn/cross_decomposition/tests/test_pls.py
    M sklearn/datasets/tests/test_openml.py
    M sklearn/datasets/tests/test_samples_generator.py
    M sklearn/ensemble/_bagging.py
    M sklearn/ensemble/_forest.py
    M sklearn/ensemble/tests/test_forest.py
    M sklearn/experimental/enable_hist_gradient_boosting.py
    M sklearn/feature_selection/_univariate_selection.py
    M sklearn/gaussian_process/tests/test_gpc.py
    M sklearn/gaussian_process/tests/test_gpr.py
    M sklearn/inspection/_plot/tests/test_plot_partial_dependence.py
    M sklearn/kernel_approximation.py
    M sklearn/linear_model/_glm/_newton_solver.py
    M sklearn/linear_model/_linear_loss.py
    M sklearn/linear_model/_ridge.py
    M sklearn/linear_model/_theil_sen.py
    M sklearn/linear_model/tests/test_ridge.py
    M sklearn/manifold/_spectral_embedding.py
    M sklearn/manifold/_t_sne.py
    M sklearn/metrics/_ranking.py
    M sklearn/metrics/cluster/_supervised.py
    M sklearn/metrics/cluster/_unsupervised.py
    M sklearn/metrics/tests/test_common.py
    M sklearn/metrics/tests/test_pairwise_distances_reduction.py
    M sklearn/mixture/tests/test_bayesian_mixture.py
    M sklearn/model_selection/_validation.py
    M sklearn/model_selection/tests/test_search.py
    M sklearn/model_selection/tests/test_split.py
    M sklearn/multioutput.py
    M sklearn/neighbors/_classification.py
    M sklearn/neighbors/tests/test_neighbors.py
    M sklearn/preprocessing/tests/test_function_transformer.py
    M sklearn/semi_supervised/_self_training.py
    M sklearn/tests/metadata_routing_common.py
    M sklearn/tests/test_common.py
    M sklearn/tests/test_discriminant_analysis.py
    M sklearn/tests/test_metaestimators.py
    M sklearn/tree/tests/test_monotonic_tree.py
    M sklearn/tree/tests/test_tree.py
    M sklearn/utils/_array_api.py
    M sklearn/utils/_metadata_requests.py
    M sklearn/utils/_test_common/instance_generator.py
    M sklearn/utils/estimator_checks.py
    M sklearn/utils/fixes.py
    M sklearn/utils/tests/test_indexing.py
    M sklearn/utils/tests/test_multiclass.py
    M sklearn/utils/tests/test_pprint.py
    M sklearn/utils/tests/test_seq_dataset.py
    M sklearn/utils/tests/test_tags.py
    M sklearn/utils/tests/test_validation.py
    M sklearn/utils/validation.py

  Log Message:
  -----------
  MNT Use ruff format rather than black (#31015)



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