diff --git a/src/lerobot/datasets/lerobot_dataset.py b/src/lerobot/datasets/lerobot_dataset.py
index 10b4e731e..a869cb920 100644
--- a/src/lerobot/datasets/lerobot_dataset.py
+++ b/src/lerobot/datasets/lerobot_dataset.py
@@ -471,7 +471,7 @@ class LeRobotDataset(torch.utils.data.Dataset):
         if self.episodes is not None and self.meta._version >= packaging.version.parse("v2.1"):
             episodes_stats = [self.meta.episodes_stats[ep_idx] for ep_idx in self.episodes]
             self.stats = aggregate_stats(episodes_stats)
-        
+
         # Load actual data
         try:
             if force_cache_sync:
diff --git a/src/lerobot/envs/utils.py b/src/lerobot/envs/utils.py
index 94109bf8b..4aabe7932 100644
--- a/src/lerobot/envs/utils.py
+++ b/src/lerobot/envs/utils.py
@@ -80,6 +80,7 @@ def preprocess_observation(observations: dict[str, np.ndarray]) -> dict[str, Ten
 
     return return_observations
 
+
 def env_to_policy_features(env_cfg: EnvConfig) -> dict[str, PolicyFeature]:
     # TODO(aliberts, rcadene): remove this hardcoding of keys and just use the nested keys as is
     # (need to also refactor preprocess_observation and externalize normalization from policies)