fix(pre_commit): 🎨 auto format pre-commit hooks

supervision/annotators/core.py

@@ -1110,9 +1110,7 @@ class LabelAnnotator(_BaseLabelAnnotator):
         validate_labels(labels, detections)
 
         labels = get_labels_text(detections, labels)
-        label_properties = self._get_label_properties(
-            detections, labels
-        )
+        label_properties = self._get_label_properties(detections, labels)
 
         if self.smart_position:
             xyxy = label_properties[:, :4]
@@ -1176,10 +1174,12 @@ class LabelAnnotator(_BaseLabelAnnotator):
                 position=self.text_anchor,
             )
 
-            label_properties.append([
-                *text_background_xyxy,
-                total_height,
-            ])
+            label_properties.append(
+                [
+                    *text_background_xyxy,
+                    total_height,
+                ]
+            )
         return np.array(label_properties).reshape(-1, 5)
 
     def _draw_labels(

supervision/annotators/utils.py

@@ -293,19 +293,23 @@ def snap_boxes(xyxy: np.ndarray, resolution_wh: Tuple[int, int]) -> np.ndarray:
     shift_if_left_out = -result[:, 0]
     shift_if_right_out = width - result[:, 2]
 
-    shift_x = np.where(result[:, 0] < 0, shift_if_left_out,
-                       np.where(result[:, 2] > width, shift_if_right_out, 0))
+    shift_x = np.where(
+        result[:, 0] < 0,
+        shift_if_left_out,
+        np.where(result[:, 2] > width, shift_if_right_out, 0),
+    )
 
     result[:, 0] += shift_x
     result[:, 2] += shift_x
 
-
     shift_if_top_out = -result[:, 1]
     shift_if_bottom_out = height - result[:, 3]
 
-    shift_y = np.where(result[:, 1] < 0, shift_if_top_out,
-                       np.where(result[:, 3] > height, shift_if_bottom_out, 0))
-
+    shift_y = np.where(
+        result[:, 1] < 0,
+        shift_if_top_out,
+        np.where(result[:, 3] > height, shift_if_bottom_out, 0),
+    )
 
     result[:, 1] += shift_y
     result[:, 3] += shift_y
@@ -331,10 +335,12 @@ class Trace:
     def put(self, detections: Detections) -> None:
         frame_id = np.full(len(detections), self.current_frame_id, dtype=int)
         self.frame_id = np.concatenate([self.frame_id, frame_id])
-        self.xy = np.concatenate([
-            self.xy,
-            detections.get_anchors_coordinates(self.anchor),
-        ])
+        self.xy = np.concatenate(
+            [
+                self.xy,
+                detections.get_anchors_coordinates(self.anchor),
+            ]
+        )
         self.tracker_id = np.concatenate([self.tracker_id, detections.tracker_id])
 
         unique_frame_id = np.unique(self.frame_id)

supervision/detection/utils.py

@@ -1264,10 +1264,12 @@ def cross_product(anchors: np.ndarray, vector: Vector) -> np.ndarray:
     Returns:
         Array of cross products of shape (number of anchors, detections)
     """
-    vector_at_zero = np.array([
-        vector.end.x - vector.start.x,
-        vector.end.y - vector.start.y,
-    ])
+    vector_at_zero = np.array(
+        [
+            vector.end.x - vector.start.x,
+            vector.end.y - vector.start.y,
+        ]
+    )
     vector_start = np.array([vector.start.x, vector.start.y])
     return np.cross(vector_at_zero, anchors - vector_start)