style: fix pre-commit

.pylintrc

@@ -516,7 +516,7 @@ max-spelling-suggestions=4
 
 # Spelling dictionary name. Available dictionaries: en_AU (hunspell), en_CA
 # (hunspell), en_GB (hunspell), en_US (hunspell), en_ZA (hunspell).
-; spelling-dict=en_US
+spelling-dict=en_US
 
 # List of comma separated words that should be considered directives if they
 # appear at the beginning of a comment and should not be checked.

omnisafe/common/logger.py

@@ -144,10 +144,10 @@ def __init__(  # pylint: disable=too-many-arguments,too-many-locals
                 config=config,
             )
             if config is not None:
-                wandb.config.update(config)
+                wandb.config.update(config)  # type: ignore
             if models is not None:
                 for model in models:
-                    wandb.watch(model)
+                    wandb.watch(model)  # type: ignore
 
     def log(self, msg: str, color: str = 'green', bold: bool = False) -> None:
         """Log the message to the console and the file.

omnisafe/common/offline/data_collector.py

@@ -110,7 +110,7 @@ def register_agent(self, save_dir: str, model_name: str, size: int) -> None:
 
         model_path = os.path.join(save_dir, 'torch_save', model_name)
         try:
-            model_params = torch.load(model_path)
+            model_params = torch.load(model_path, weights_only=False)
         except FileNotFoundError as error:
             raise FileNotFoundError(f'Model {model_name} not found in {save_dir}') from error
 

omnisafe/envs/classic_control/envs_from_crabs.py

@@ -238,7 +238,7 @@ def _get_obs(self):
         else:
             return np.array([np.cos(th), np.sin(th), thdot], dtype=np.float32)
 
-    def reset(self):
+    def reset(self):  # type: ignore
         """Reset the environment."""
         self.state = self.init_state
         self.last_u = None

omnisafe/evaluator.py

@@ -150,7 +150,7 @@ def __load_model_and_env(
         # load the saved model
         model_path = os.path.join(save_dir, 'torch_save', model_name)
         try:
-            model_params = torch.load(model_path)
+            model_params = torch.load(model_path, weights_only=False)
         except FileNotFoundError as error:
             raise FileNotFoundError('The model is not found in the save directory.') from error