[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

src/lightning/app/utilities/peft.py

@@ -4,7 +4,6 @@
 
 from packaging import version
 
-
 ADAPTER_CONFIG_NAME = "adapter_config.json"
 ADAPTER_WEIGHTS_NAME = "adapter_model.bin"
 ADAPTER_SAFE_WEIGHTS_NAME = "adapter_model.safetensors"
@@ -22,9 +21,8 @@ def find_adapter_config_file(
     subfolder: str = "",
     _commit_hash: Optional[str] = None,
 ) -> Optional[str]:
-    r"""
-    Simply checks if the model stored on the Hub or locally is an adapter model or not, return the path of the adapter
-    config file if it is, None otherwise.
+    r"""Simply checks if the model stored on the Hub or locally is an adapter model or not, return the path of the
+    adapter config file if it is, None otherwise.
 
     Args:
         model_id (`str`):
@@ -59,29 +57,30 @@ def find_adapter_config_file(
         subfolder (`str`, *optional*, defaults to `""`):
             In case the relevant files are located inside a subfolder of the model repo on huggingface.co, you can
             specify the folder name here.
+
     """
     adapter_cached_filename = None
     if model_id is None:
         return None
-    elif os.path.isdir(model_id):
+    if os.path.isdir(model_id):
         list_remote_files = os.listdir(model_id)
         if ADAPTER_CONFIG_NAME in list_remote_files:
             adapter_cached_filename = os.path.join(model_id, ADAPTER_CONFIG_NAME)
     return adapter_cached_filename
 
 
 def check_peft_version(min_version: str) -> None:
-    r"""
-    Checks if the version of PEFT is compatible.
+    r"""Checks if the version of PEFT is compatible.
 
     Args:
         version (`str`):
             The version of PEFT to check against.
+
     """
     is_peft_version_compatible = version.parse(importlib.metadata.version("peft")) >= version.parse(min_version)
 
     if not is_peft_version_compatible:
         raise ValueError(
             f"The version of PEFT you are using is not compatible, please use a version that is greater"
             f" than {min_version}"
-        )
+        )

src/lightning/pytorch/core/saving.py

@@ -97,7 +97,7 @@ def _load_from_checkpoint(
                 **adapter_kwargs,
             )
         if _adapter_model_path is not None and os.path.isfile(_adapter_model_path):
-            with open(_adapter_model_path, "r", encoding="utf-8") as f:
+            with open(_adapter_model_path, encoding="utf-8") as f:
                 _adapter_model_path = pretrained_model_name_or_path
                 pretrained_model_name_or_path = json.load(f)["base_model_name_or_path"]
     checkpoint.setdefault(cls.CHECKPOINT_HYPER_PARAMS_KEY, {})