Update pre-commit black version to 25.10.0 (#870)

Author: SebastienMelo

.pre-commit-config.yaml

@@ -10,7 +10,7 @@ repos:
       exclude: notebooks
       exclude_types: [svg]
 - repo: https://github.com/psf/black
-  rev: 23.1.0
+  rev: 25.11.0
   hooks:
   -   id: black
 - repo: https://github.com/astral-sh/ruff-pre-commit

python_scripts/datasets_ames_housing.py

@@ -169,7 +169,6 @@
 from sklearn.impute import SimpleImputer
 from sklearn.pipeline import make_pipeline
 
-
 numerical_features = [
     "LotFrontage",
     "LotArea",

python_scripts/ensemble_bagging.py

@@ -355,7 +355,6 @@ def bootstrap_sample(data, target, seed=0):
 from sklearn.preprocessing import MinMaxScaler
 from sklearn.pipeline import make_pipeline
 
-
 polynomial_regressor = make_pipeline(
     MinMaxScaler(),
     PolynomialFeatures(degree=4, include_bias=False),

python_scripts/feature_selection_introduction.py

@@ -57,7 +57,6 @@
 from sklearn.feature_selection import f_classif
 from sklearn.pipeline import make_pipeline
 
-
 model_with_selection = make_pipeline(
     SelectKBest(score_func=f_classif, k=2),
     RandomForestClassifier(n_jobs=2),

python_scripts/linear_models_feature_engineering_classification.py

@@ -84,7 +84,6 @@
 import matplotlib.pyplot as plt
 from matplotlib.colors import ListedColormap
 
-
 _, axs = plt.subplots(ncols=3, figsize=(14, 4), constrained_layout=True)
 
 common_scatter_plot_params = dict(

python_scripts/parameter_tuning_sol_03.py

@@ -75,8 +75,8 @@
 from sklearn.model_selection import RandomizedSearchCV
 
 param_distributions = {
-    "kneighborsregressor__n_neighbors": np.logspace(0, 3, num=10).astype(
-        np.int32
+    "kneighborsregressor__n_neighbors": (
+        np.logspace(0, 3, num=10).astype(np.int32)
     ),
     "standardscaler__with_mean": [True, False],
     "standardscaler__with_std": [True, False],

python_scripts/trees_sol_01.py

@@ -70,7 +70,6 @@
 
 from sklearn.inspection import DecisionBoundaryDisplay
 
-
 tab10_norm = mpl.colors.Normalize(vmin=-0.5, vmax=8.5)
 
 palette = ["tab:blue", "tab:green", "tab:orange"]