feat(test): 🚀 mock keypoints added

Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>

test/test_utils.py

@@ -3,6 +3,7 @@ from typing import Any, Dict, List, Optional
 import numpy as np
 
 from supervision.detection.core import Detections
+from supervision.keypoints.core import KeyPoints
 
 
 def mock_detections(
@@ -30,5 +31,24 @@ def mock_detections(
     )
 
 
+def mock_keypoints(
+    xy: List[List[float]],
+    confidence: Optional[List[float]] = None,
+    class_id: Optional[List[int]] = None,
+    data: Optional[Dict[str, List[Any]]] = None,
+) -> KeyPoints:
+    def convert_data(data: Dict[str, List[Any]]):
+        return {k: np.array(v) for k, v in data.items()}
+
+    return KeyPoints(
+        xy=np.array(xy, dtype=np.float32),
+        confidence=(
+            confidence if confidence is None else np.array(confidence, dtype=np.float32)
+        ),
+        class_id=(class_id if class_id is None else np.array(class_id, dtype=int)),
+        data=convert_data(data) if data else {},
+    )
+
+
 def assert_almost_equal(actual, expected, tolerance=1e-5):
     assert abs(actual - expected) < tolerance, f"Expected {expected}, but got {actual}."