chore: import upstream snapshot with attribution

tests/inference/test_supervision_editable_keypoints.py

@@ -0,0 +1,24 @@
+# ------------------------------------------------------------------------
+# RF-DETR
+# Copyright (c) 2025 Roboflow. All Rights Reserved.
+# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
+# ------------------------------------------------------------------------
+"""Smoke test for RF-DETR keypoints carried by Supervision KeyPoints."""
+
+import numpy as np
+import supervision as sv
+
+
+def test_rfdetr_keypoints_include_detection_details() -> None:
+    """RF-DETR-style keypoints preserve detection boxes and scores."""
+    key_points = sv.KeyPoints(
+        xy=np.array([[[1.0, 2.0], [3.0, 4.0]]], dtype=np.float32),
+        keypoint_confidence=np.array([[0.9, 0.8]], dtype=np.float32),
+        detection_confidence=np.array([0.95], dtype=np.float32),
+        class_id=np.array([1], dtype=int),
+        data={"xyxy": np.array([[0, 0, 10, 10]], dtype=np.float32)},
+    )
+
+    assert key_points.xy.shape == (1, 2, 2)
+    np.testing.assert_array_equal(key_points.data["xyxy"], np.array([[0, 0, 10, 10]], dtype=np.float32))
+    np.testing.assert_array_equal(key_points.detection_confidence, np.array([0.95], dtype=np.float32))