Fix with black 24.1.1. (#10014)

demo/guide-python/callbacks.py

@@ -4,6 +4,7 @@ Demo for using and defining callback functions
 
     .. versionadded:: 1.3.0
 """
+
 import argparse
 import os
 import tempfile

demo/guide-python/cat_pipeline.py

@@ -13,6 +13,7 @@ See Also
 - :ref:`sphx_glr_python_examples_cat_in_the_dat.py`
 
 """
+
 from typing import List, Tuple
 
 import numpy as np

demo/guide-python/categorical.py

@@ -17,6 +17,7 @@ See Also
 - :ref:`sphx_glr_python_examples_cat_pipeline.py`
 
 """
+
 from typing import Tuple
 
 import numpy as np

demo/guide-python/external_memory.py

@@ -11,6 +11,7 @@ instead of Quantile DMatrix.  The feature is not ready for production use yet.
 See :doc:`the tutorial </tutorials/external_memory>` for more details.
 
 """
+
 import os
 import tempfile
 from typing import Callable, List, Tuple

demo/guide-python/individual_trees.py

@@ -2,6 +2,7 @@
 Demo for prediction using individual trees and model slices
 ===========================================================
 """
+
 import os
 
 import numpy as np

demo/guide-python/learning_to_rank.py

@@ -15,6 +15,7 @@ position debiasing training.
 For an overview of learning to rank in XGBoost, please see
 :doc:`Learning to Rank </tutorials/learning_to_rank>`.
 """
+
 from __future__ import annotations
 
 import argparse

demo/guide-python/quantile_regression.py

@@ -13,6 +13,7 @@ https://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_qu
     crossing can happen due to limitation in the algorithm.
 
 """
+
 import argparse
 from typing import Dict
 

demo/guide-python/sklearn_examples.py

@@ -9,6 +9,7 @@ Created on 1 Apr 2015
 
 @author: Jamie Hall
 """
+
 import pickle
 
 import numpy as np

demo/guide-python/sklearn_parallel.py

@@ -2,6 +2,7 @@
 Demo for using xgboost with sklearn
 ===================================
 """
+
 import multiprocessing
 
 from sklearn.datasets import fetch_california_housing

demo/guide-python/spark_estimator_examples.py

@@ -4,6 +4,7 @@ Collection of examples for using xgboost.spark estimator interface
 
 @author: Weichen Xu
 """
+
 import sklearn.datasets
 from pyspark.ml.evaluation import MulticlassClassificationEvaluator, RegressionEvaluator
 from pyspark.ml.linalg import Vectors