diff --git a/bird_cloud_gnn/__init__.py b/bird_cloud_gnn/__init__.py
index 7d38df9..224bc5e 100644
--- a/bird_cloud_gnn/__init__.py
+++ b/bird_cloud_gnn/__init__.py
@@ -1,4 +1,5 @@
 """Documentation about bird_cloud_gnn"""
+
 import logging
 
 
diff --git a/bird_cloud_gnn/cross_validation.py b/bird_cloud_gnn/cross_validation.py
index 507587d..6939386 100644
--- a/bird_cloud_gnn/cross_validation.py
+++ b/bird_cloud_gnn/cross_validation.py
@@ -1,5 +1,6 @@
 """Helper functions for cross validation.
 """
+
 import numpy as np
 import pandas as pd
 from dgl.dataloading import GraphDataLoader
diff --git a/bird_cloud_gnn/early_stopper.py b/bird_cloud_gnn/early_stopper.py
index a1f3ee8..009c6a5 100644
--- a/bird_cloud_gnn/early_stopper.py
+++ b/bird_cloud_gnn/early_stopper.py
@@ -1,5 +1,6 @@
 """Module for early stopping class
 """
+
 import numpy as np
 
 
diff --git a/bird_cloud_gnn/fake.py b/bird_cloud_gnn/fake.py
index 77c8f20..effd592 100644
--- a/bird_cloud_gnn/fake.py
+++ b/bird_cloud_gnn/fake.py
@@ -126,9 +126,9 @@ def to01(value):
         point_cloud.loc[
             np.random.randint(0, num_points, num_points // 100), "feat2"
         ] = None
-        point_cloud.loc[
-            np.random.randint(0, num_points, num_points // 20), "feat3"
-        ] = None
+        point_cloud.loc[np.random.randint(0, num_points, num_points // 20), "feat3"] = (
+            None
+        )
 
     if filename is not None:
         point_cloud.to_csv(filename, index=None)
diff --git a/tests/test_cross_validation.py b/tests/test_cross_validation.py
index 954e664..4d41318 100644
--- a/tests/test_cross_validation.py
+++ b/tests/test_cross_validation.py
@@ -1,4 +1,5 @@
 """Tests for cross_validation"""
+
 from torch import nn
 from bird_cloud_gnn.cross_validation import kfold_evaluate
 from bird_cloud_gnn.cross_validation import leave_one_origin_out_evaluate
diff --git a/tests/test_gnn_model.py b/tests/test_gnn_model.py
index aa95440..72bda0c 100644
--- a/tests/test_gnn_model.py
+++ b/tests/test_gnn_model.py
@@ -1,4 +1,5 @@
 """Tests for gnn_model module"""
+
 import torch
 from dgl.dataloading import GraphDataLoader
 from torch import nn