Fix the vector wrapper warnings (#1415)

gymnasium/wrappers/transform_observation.py

@@ -387,7 +387,7 @@ class ResizeObservation(
             ) from e
 
         self.shape: Final[tuple[int, int]] = tuple(shape)
-        # for some reason, cv2.resize will return the shape in reverse, todo confirm implementation
+        # for some reason, cv2.resize will return the shape in reverse
         self.cv2_shape: Final[tuple[int, int]] = (shape[1], shape[0])
 
         new_observation_space = spaces.Box(

gymnasium/wrappers/vector/common.py

@@ -85,7 +85,9 @@ class RecordEpisodeStatistics(VectorWrapper):
         super().__init__(env)
         self._stats_key = stats_key
         if "autoreset_mode" not in self.env.metadata:
-            warn("todo")
+            warn(
+                f"{self} is missing `autoreset_mode` tag in its metadata, therefore, `RecordEpisodeStatistics` is assuming that the environment uses `AutoresetMode.NEXT_STEP`. See `https://farama.org/Vector-Autoreset-Mode` for more information on autoreset modes."
+            )
             self._autoreset_mode = AutoresetMode.NEXT_STEP
         else:
             assert isinstance(self.env.metadata["autoreset_mode"], AutoresetMode)

gymnasium/wrappers/vector/stateful_observation.py

@@ -74,7 +74,7 @@ class NormalizeObservation(VectorObservationWrapper, gym.utils.RecordConstructor
 
         if "autoreset_mode" not in self.env.metadata:
             warn(
-                f"{self} is missing `autoreset_mode` data. Assuming that the vector environment it follows the `NextStep` autoreset api or autoreset is disabled. Read todo for more details."
+                f"{self} is missing `autoreset_mode` data. Assuming that the vector environment it follows the `NextStep` autoreset api or autoreset is disabled. Read https://farama.org/Vector-Autoreset-Mode for more details."
             )
         else:
             assert self.env.metadata["autoreset_mode"] in {AutoresetMode.NEXT_STEP}