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examples/cluster/plot_kmedoids_digits.py

@@ -5,6 +5,7 @@
 In this example we compare different pairwise distance
 metrics for K-Medoids.
 """
+
 import numpy as np
 import matplotlib.pyplot as plt
 

examples/eigenpro/plot_eigenpro_synthetic.py

@@ -11,6 +11,7 @@
 the number of features exceeds 500, it begins to outperform
 SVM and shows more stability.
 """
+
 print(__doc__)
 
 import matplotlib

examples/kernel_approximation/plot_kernel_approximation.py

@@ -41,6 +41,7 @@
 in :ref:`kernel_approximation`.
 
 """
+
 print(__doc__)
 
 # Author: Gael Varoquaux <gael dot varoquaux at normalesup dot org>

examples/plot_clara_digits.py

@@ -5,6 +5,7 @@
 In this example we compare different computation time of K-Medoids and CLARA on
 the handwritten digits data.
 """
+
 import numpy as np
 import matplotlib.pyplot as plt
 import time

sklearn_extra/cluster/tests/test_k_medoids.py

@@ -1,4 +1,5 @@
 """Testing for K-Medoids"""
+
 import warnings
 import numpy as np
 from unittest import mock