[CI] Update pre-commit hooks

.github/workflows/pre-commit.yml

@@ -31,7 +31,7 @@ jobs:
           activate-environment: precommit
           environment-file: ops/conda_env/pre-commit.yml
           use-mamba: true
-      - name: Update pre-commit hooks
+      - name: Run pre-commit checks
         run: |
           pre-commit install
           pre-commit run --all-files --color always

.pre-commit-config.yaml

@@ -2,29 +2,29 @@
 # See https://pre-commit.com/hooks.html for more hooks
 repos:
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.6.0
+  rev: v5.0.0
   hooks:
   - id: trailing-whitespace
   - id: end-of-file-fixer
   - id: check-yaml
   - id: check-added-large-files
     args: ["--maxkb=4000"]
 - repo: https://github.com/psf/black
-  rev: 24.8.0
+  rev: 25.1.0
   hooks:
   - id: black
 - repo: https://github.com/pycqa/isort
-  rev: 5.13.2
+  rev: 6.0.1
   hooks:
   - id: isort
     args: ["--profile", "black", "--filter-files"]
 - repo: https://github.com/MarcoGorelli/cython-lint
-  rev: v0.16.2
+  rev: v0.16.6
   hooks:
   - id: cython-lint
   - id: double-quote-cython-strings
 - repo: https://github.com/PyCQA/flake8
-  rev: 7.1.1
+  rev: 7.2.0
   hooks:
   - id: flake8
     args: [--config=.flake8]
@@ -50,7 +50,7 @@ repos:
       args: ["-i", "--style=file:.clang-format"]
       language: python
       additional_dependencies: [clang-format>=15.0]
-      types_or: [c, c++]
+      types_or: [c++]
     - id: cpplint
       language: python
       args: [
@@ -60,12 +60,12 @@ repos:
       additional_dependencies: [cpplint==1.6.1]
       types_or: [c++]
 - repo: https://github.com/pre-commit/mirrors-mypy
-  rev: v1.11.2
+  rev: v1.16.0
   hooks:
     - id: mypy
       additional_dependencies: [types-setuptools, numpy]
 - repo: https://github.com/astral-sh/ruff-pre-commit
-  rev: v0.6.8
+  rev: v0.11.13
   hooks:
     - id: ruff
       args: ["--config", "python/pyproject.toml"]

python/treelite/sklearn/importer.py

@@ -125,7 +125,9 @@ def import_model(sklearn_model) -> Model:
         from sklearn.ensemble import (
             HistGradientBoostingRegressor as HistGradientBoostingR,
         )
-        from sklearn.ensemble import IsolationForest
+        from sklearn.ensemble import (
+            IsolationForest,
+        )
         from sklearn.ensemble import RandomForestClassifier as RandomForestC
         from sklearn.ensemble import RandomForestRegressor as RandomForestR
     except ImportError as e: