style

src/lerobot/envs/factory.py

@@ -56,7 +56,7 @@ def make_env_pre_post_processors(
     # For LIBERO environments, add the LiberoProcessorStep
     if isinstance(env_cfg, LiberoEnv) or "libero" in env_cfg.type:
         return PolicyProcessorPipeline(steps=[LiberoProcessorStep()])
-    
+
     # For all other environments, return an identity processor (does nothing)
     return PolicyProcessorPipeline(steps=[])
 

src/lerobot/scripts/lerobot_eval.py

@@ -166,7 +166,7 @@ def rollout(
         # Infer "task" from attributes of environments.
         # TODO: works with SyncVectorEnv but not AsyncVectorEnv
         observation = add_envs_task(env, observation)
-        
+
         # Apply environment-specific preprocessing (e.g., LiberoProcessorStep for LIBERO)
         observation = env_preprocessor(observation)
 
@@ -524,10 +524,10 @@ def eval_main(cfg: EvalPipelineConfig):
         pretrained_path=cfg.policy.pretrained_path,
         preprocessor_overrides=preprocessor_overrides,
     )
-    
+
     # Create environment-specific preprocessor (e.g., for LIBERO environments)
     env_preprocessor = make_env_pre_post_processors(env_cfg=cfg.env)
-    
+
     with torch.no_grad(), torch.autocast(device_type=device.type) if cfg.policy.use_amp else nullcontext():
         info = eval_policy_all(
             envs=envs,