diff --git a/supervision/__init__.py b/supervision/__init__.py
index 8fb015c9..a4126f31 100644
--- a/supervision/__init__.py
+++ b/supervision/__init__.py
@@ -67,8 +67,8 @@ from supervision.detection.utils import (
     polygon_to_mask,
     polygon_to_xyxy,
     scale_boxes,
-    xywh_to_xyxy,
     xcycwh_to_xyxy,
+    xywh_to_xyxy,
 )
 from supervision.draw.color import Color, ColorPalette
 from supervision.draw.utils import (
diff --git a/test/detection/test_utils.py b/test/detection/test_utils.py
index a19a518a..9224c676 100644
--- a/test/detection/test_utils.py
+++ b/test/detection/test_utils.py
@@ -16,7 +16,9 @@ from supervision.detection.utils import (
     merge_data,
     move_boxes,
     process_roboflow_result,
-    scale_boxes, xcycwh_to_xyxy, xywh_to_xyxy,
+    scale_boxes,
+    xcycwh_to_xyxy,
+    xywh_to_xyxy,
 )
 
 TEST_MASK = np.zeros((1, 1000, 1000), dtype=bool)
@@ -1095,35 +1097,20 @@ def test_contains_multiple_segments(
 @pytest.mark.parametrize(
     "xywh, expected_result",
     [
-        (
-            np.array([[10, 20, 30, 40]]),
-            np.array([[10, 20, 40, 60]])
-        ),  # standard case
-        (
-            np.array([[0, 0, 0, 0]]),
-            np.array([[0, 0, 0, 0]])
-        ),  # zero size bounding box
+        (np.array([[10, 20, 30, 40]]), np.array([[10, 20, 40, 60]])),  # standard case
+        (np.array([[0, 0, 0, 0]]), np.array([[0, 0, 0, 0]])),  # zero size bounding box
         (
             np.array([[50, 50, 100, 100]]),
-            np.array([[50, 50, 150, 150]])
+            np.array([[50, 50, 150, 150]]),
         ),  # large bounding box
         (
             np.array([[-10, -20, 30, 40]]),
-            np.array([[-10, -20, 20, 20]])
+            np.array([[-10, -20, 20, 20]]),
         ),  # negative coordinates
-        (
-            np.array([[50, 50, 0, 30]]),
-            np.array([[50, 50, 50, 80]])
-        ),  # zero width
-        (
-            np.array([[50, 50, 20, 0]]),
-            np.array([[50, 50, 70, 50]])
-        ),  # zero height
-        (
-            np.array([]).reshape(0, 4),
-            np.array([]).reshape(0, 4)
-        ),  # empty array
-    ]
+        (np.array([[50, 50, 0, 30]]), np.array([[50, 50, 50, 80]])),  # zero width
+        (np.array([[50, 50, 20, 0]]), np.array([[50, 50, 70, 50]])),  # zero height
+        (np.array([]).reshape(0, 4), np.array([]).reshape(0, 4)),  # empty array
+    ],
 )
 def test_xywh_to_xyxy(xywh: np.ndarray, expected_result: np.ndarray) -> None:
     result = xywh_to_xyxy(xywh)
@@ -1133,36 +1120,21 @@ def test_xywh_to_xyxy(xywh: np.ndarray, expected_result: np.ndarray) -> None:
 @pytest.mark.parametrize(
     "xcycwh, expected_result",
     [
-        (
-            np.array([[50, 50, 20, 30]]),
-            np.array([[40, 35, 60, 65]])
-        ),  # standard case
-        (
-            np.array([[0, 0, 0, 0]]),
-            np.array([[0, 0, 0, 0]])
-        ),  # zero size bounding box
+        (np.array([[50, 50, 20, 30]]), np.array([[40, 35, 60, 65]])),  # standard case
+        (np.array([[0, 0, 0, 0]]), np.array([[0, 0, 0, 0]])),  # zero size bounding box
         (
             np.array([[50, 50, 100, 100]]),
-            np.array([[0, 0, 100, 100]])
+            np.array([[0, 0, 100, 100]]),
         ),  # large bounding box centered at (50, 50)
         (
             np.array([[-10, -10, 20, 30]]),
-            np.array([[-20, -25, 0, 5]])
+            np.array([[-20, -25, 0, 5]]),
         ),  # negative coordinates
-        (
-            np.array([[50, 50, 0, 30]]),
-            np.array([[50, 35, 50, 65]])
-        ),  # zero width
-        (
-            np.array([[50, 50, 20, 0]]),
-            np.array([[40, 50, 60, 50]])
-        ),  # zero height
-        (
-            np.array([]).reshape(0, 4),
-            np.array([]).reshape(0, 4)
-        ),  # empty array
-    ]
+        (np.array([[50, 50, 0, 30]]), np.array([[50, 35, 50, 65]])),  # zero width
+        (np.array([[50, 50, 20, 0]]), np.array([[40, 50, 60, 50]])),  # zero height
+        (np.array([]).reshape(0, 4), np.array([]).reshape(0, 4)),  # empty array
+    ],
 )
 def test_xcycwh_to_xyxy(xcycwh: np.ndarray, expected_result: np.ndarray) -> None:
     result = xcycwh_to_xyxy(xcycwh)
-    np.testing.assert_array_equal(result, expected_result)
\ No newline at end of file
+    np.testing.assert_array_equal(result, expected_result)