chore: enable pyugrade ruff lint (#2084)

src/lerobot/utils/transition.py

@@ -63,7 +63,7 @@ def move_transition_to_device(transition: Transition, device: str = "cpu") -> Tr
         for key, val in transition["complementary_info"].items():
             if isinstance(val, torch.Tensor):
                 transition["complementary_info"][key] = val.to(device, non_blocking=non_blocking)
-            elif isinstance(val, (int, float, bool)):
+            elif isinstance(val, (int | float | bool)):
                 transition["complementary_info"][key] = torch.tensor(val, device=device)
             else:
                 raise ValueError(f"Unsupported type {type(val)} for complementary_info[{key}]")

src/lerobot/utils/visualization_utils.py

@@ -35,7 +35,7 @@ def _is_scalar(x):
     return (
         isinstance(x, float)
         or isinstance(x, numbers.Real)
-        or isinstance(x, (np.integer, np.floating))
+        or isinstance(x, (np.integer | np.floating))
         or (isinstance(x, np.ndarray) and x.ndim == 0)
     )