diff --git a/src/omlt/neuralnet/layer.py b/src/omlt/neuralnet/layer.py
index 663d7bdd..52d93f11 100644
--- a/src/omlt/neuralnet/layer.py
+++ b/src/omlt/neuralnet/layer.py
@@ -569,7 +569,7 @@ def __init__(
                 kernel.shape[0],
                 kernel.shape[1],
                 kernel.shape[2] + self.dilations[1] - 1,
-                kernel.shape[3] + self.dilations[1] - 1
+                kernel.shape[3] + self.dilations[1] - 1,
             )
             self.__dilated_kernel = dilate_kernel
         else:
diff --git a/tests/io/test_onnx_parser.py b/tests/io/test_onnx_parser.py
index 511c6aaf..1289f3f1 100644
--- a/tests/io/test_onnx_parser.py
+++ b/tests/io/test_onnx_parser.py
@@ -109,16 +109,16 @@ def test_conv_dilations(datadir):
     net = load_onnx_neural_network(model)
     layers = list(net.layers)
     assert layers[1].dilations == [2, 2]
-    assert (layers[1].dilated_kernel[0][0].round(8) == array(
-        [[-0.00886667, 0, 0.18750042],
-         [0, 0, 0],
-         [-0.11404419, 0, -0.02588665]]
-    )).all()
-    assert (layers[1].dilated_kernel[1][0].round(8) == array(
-        [[-0.07554907, 0, -0.05939162],
-         [0, 0, 0],
-         [0.2217437, 0, 0.14637864]]
-    )).all()
+    assert (
+        layers[1].dilated_kernel[0][0].round(8)
+        == array(
+            [[-0.00886667, 0, 0.18750042], [0, 0, 0], [-0.11404419, 0, -0.02588665]]
+        )
+    ).all()
+    assert (
+        layers[1].dilated_kernel[1][0].round(8)
+        == array([[-0.07554907, 0, -0.05939162], [0, 0, 0], [0.2217437, 0, 0.14637864]])
+    ).all()
     assert layers[1].pads == [1, 2, 1, 0]