format check

Author: zhx06

isaaclab_arena/relations/relation_solver.py

@@ -238,8 +238,10 @@ def _print_relation_debug(
 
     print(f"\n=== {obj.name} -> {type(relation).__name__}({relation.parent.name}) ===")
     print(f"  Child pos: ({child_pos[0].item():.4f}, {child_pos[1].item():.4f}, {child_pos[2].item():.4f})")
-    print(f"  Child bbox: min={child_bbox.min_point[0].tolist()}, max={child_bbox.max_point[0].tolist()},"
-          f" size={child_bbox.size[0].tolist()}")
+    print(
+        f"  Child bbox: min={child_bbox.min_point[0].tolist()}, max={child_bbox.max_point[0].tolist()},"
+        f" size={child_bbox.size[0].tolist()}"
+    )
     print(f"  Parent pos: ({parent_pos[0].item():.4f}, {parent_pos[1].item():.4f}, {parent_pos[2].item():.4f})")
     print(
         f"  Parent world bbox: min={parent_world_bbox.min_point[0].tolist()},"
@@ -283,6 +285,8 @@ def _print_unary_relation_debug(
     )
     print(f"\n=== {obj.name} -> {type(relation).__name__}({target_str}) ===")
     print(f"  Child pos: ({child_pos[0].item():.4f}, {child_pos[1].item():.4f}, {child_pos[2].item():.4f})")
-    print(f"  Child bbox: min={child_bbox.min_point[0].tolist()}, max={child_bbox.max_point[0].tolist()},"
-          f" size={child_bbox.size[0].tolist()}")
+    print(
+        f"  Child bbox: min={child_bbox.min_point[0].tolist()}, max={child_bbox.max_point[0].tolist()},"
+        f" size={child_bbox.size[0].tolist()}"
+    )
     print(f"  Loss: {loss.item():.6f}")

isaaclab_arena/tests/test_bounding_box.py

@@ -9,7 +9,6 @@
 
 from isaaclab_arena.utils.bounding_box import AxisAlignedBoundingBox
 
-
 # =============================================================================
 # Single-env tests (N=1, properties return (1, 3) or (1,) tensors)
 # =============================================================================

isaaclab_arena/utils/bounding_box.py

@@ -35,6 +35,9 @@ def __init__(
         assert self._min_point.shape == self._max_point.shape
         assert self._min_point.shape[-1] == 3
 
+    def __repr__(self) -> str:
+        return f"AxisAlignedBoundingBox(min_point={self._min_point}, max_point={self._max_point})"
+
     @staticmethod
     def _to_batched_tensor(value: tuple[float, float, float] | torch.Tensor) -> torch.Tensor:
         """Convert tuple, 1-D tensor, or (N, 3) tensor to (N, 3) float32 tensor."""